César Ochoa Cueva | Higher Education | Best Research Article Award

Published on 24/06/2026 by Top Teachers

Best Research Article Award

César Ochoa Cueva
Universidad Técnica Particular de Loja, Ecuador

César Ochoa Cueva
Affiliation	Universidad Técnica Particular de Loja
Country	Ecuador
Google Scholar ID	V_jWa10AAAAJ
Documents	33
Citations	861
h-index	14
Subject Area	Higher Education
Event	Top Teachers Awards
ORCID	0000-0002-9047-3180

The Best Research Article Award recognizes scholarly contributions that demonstrate academic rigor, educational relevance, and measurable impact within their respective fields. César Ochoa Cueva of Universidad Técnica Particular de Loja has established a notable research profile in English as a Foreign Language (EFL) education, technology-enhanced learning, teacher education, and artificial intelligence integration. His publication record reflects a sustained commitment to improving higher education practices through evidence-based research and innovative pedagogical approaches.[1]

Contents

Abstract
Keywords
Introduction
Research Profile
Research Contributions
Publications
Research Impact
Award Suitability
Conclusion
External Links
References

Abstract

This article evaluates the academic achievements and publication record of César Ochoa Cueva in relation to the Best Research Article Award. His research explores contemporary developments in EFL education, digital pedagogy, artificial intelligence, flipped learning environments, and teacher preparation. Through peer-reviewed publications and interdisciplinary educational studies, he has contributed to discussions surrounding effective instructional innovation and technology-supported language learning.[2]

Keywords

Artificial Intelligence, EFL Education, Higher Education, Teacher Education, Flipped Classroom, Educational Technology, Research Excellence.

Introduction

Research in higher education increasingly emphasizes the integration of emerging technologies to improve learning outcomes and instructional quality. César Ochoa Cueva’s scholarship aligns with these priorities by examining innovative methodologies that support language acquisition, digital engagement, and professional teacher development. His work contributes to evidence-based educational practice and addresses contemporary challenges in global learning environments.[3]

Research Profile

With 33 indexed scholarly documents, 861 citations, and an h-index of 14, César Ochoa Cueva has established a consistent record of academic productivity. His primary research interests include EFL teaching methodologies, educational innovation, digital learning resources, remote instruction, and artificial intelligence applications in language education.[1]

Research Contributions

Investigation of AI-supported flipped classroom models in teacher education.
Evaluation of artificial intelligence applications within EFL learning contexts.
Development of innovative multimedia strategies using AI-generated educational videos.
Research on online games and CLIL-based instructional approaches.
Assessment of listening and speaking competencies during remote teaching environments.

Publications

Active Learning and Feedback in EFL Teacher Education Through AI-Supported Flipped Classrooms (2026).
Pre-service Teachers’ Perceptions of the Use of Artificial Intelligence in an English as a Foreign Language Learning Context (2025).
Enhancing EFL Higher Education through Fliki Videos (2024).
Implementing the CLIL Approach through Online Games in EFL Education (2024).

Research Impact

The influence of Ochoa Cueva’s work is reflected through citation activity, international publication dissemination, and thematic relevance to modern educational transformation. His studies provide practical insights for instructors, teacher educators, and policy stakeholders interested in integrating digital tools and artificial intelligence into educational settings.[4]

Award Suitability

The Best Research Article Award emphasizes originality, scholarly significance, methodological quality, and educational impact. César Ochoa Cueva’s publications demonstrate these characteristics through their focus on emerging instructional technologies, empirical educational research, and practical applications in higher education. His contributions address contemporary academic priorities while maintaining relevance for educators and researchers across multiple contexts.[5]

Conclusion

César Ochoa Cueva has developed a recognized body of scholarship focused on EFL instruction, educational innovation, and artificial intelligence integration. His publication record, citation performance, and sustained engagement with emerging educational methodologies support his consideration for recognition associated with the Best Research Article Award and related academic excellence distinctions.

External Links

References

Elsevier. (n.d.). Google Scholar author details: César Ochoa Cueva, Author ID V_jWa10AAAAJ.
https://scholar.google.com/citations?user=V_jWa10AAAAJ&hl=es
Education Sciences. (2026). Active Learning and Feedback in EFL Teacher Education Through AI-Supported Flipped Classrooms.
https://doi.org/10.3390/educsci16060827
International Journal of Learning, Teaching and Educational Research. (2025). Pre-service Teachers’ Perceptions of the Use of Artificial Intelligence in an EFL Learning Context.
https://doi.org/10.26803/ijlter.24.10.39
World Journal of English Language. (2024). Enhancing EFL Higher Education through Fliki Videos.
https://doi.org/10.5430/wjel.v15n1p424
Language Teaching Research Quarterly. (2024). Implementing the CLIL Approach through Online Games in EFL Education.
https://doi.org/10.32038/ltrq.2024.40.11
World Journal of English Language. (2024). Assessing EFL Listening and Speaking Skills During Remote Teaching.
https://doi.org/10.5430/wjel.v14n2p490

Luz Castillo Cuesta | Higher Education | Best Research Article Award

Published on 24/06/2026 by Top Teachers

Best Research Article Award

Luz Castillo Cuesta
Universidad Técnica Particular de Loja, Ecuador

Luz Castillo Cuesta
Affiliation	Universidad Técnica Particular de Loja
Country	Ecuador
Google Scholar ID	zwEdhc8AAAAJ
Documents	88
Citations	1164
h-index	17
Subject Area	Higher Education
Event	Top Teachers Awards
ORCID	0000-0002-4755-8242

The Best Research Article Award recognizes scholarly contributions that demonstrate originality, educational relevance, and measurable academic impact. Luz Castillo Cuesta, affiliated with Universidad Técnica Particular de Loja in Ecuador, has established a notable research profile in English as a Foreign Language (EFL), technology-enhanced learning, Content and Language Integrated Learning (CLIL), educational innovation, and higher education pedagogy. Through a portfolio of peer-reviewed publications, the researcher has contributed to the advancement of digital teaching methodologies and evidence-based educational practices within contemporary learning environments.[1]

Contents

Abstract
Keywords
Introduction
Research Profile
Research Contributions
Publications
Research Impact
Award Suitability
Conclusion
External Links
References

Abstract

Luz Castillo Cuesta’s academic work focuses on improving language learning outcomes through innovative digital technologies, game-based learning strategies, artificial intelligence applications, and CLIL methodologies. Research outputs demonstrate a commitment to enhancing student engagement, promoting active learning, and supporting educational transformation in higher education contexts. The body of work reflects an interdisciplinary approach combining language education, instructional design, and educational technology.[2]

Keywords

Higher Education, EFL Education, Artificial Intelligence, CLIL, Educational Technology, Game-Based Learning, Digital Pedagogy, Online Learning.

Introduction

The integration of emerging technologies into language education has become a significant area of educational research. Within this field, Luz Castillo Cuesta has explored innovative approaches that address learner engagement, instructional effectiveness, and technology adoption. Published studies investigate how digital tools, online games, artificial intelligence applications, and interactive learning environments can support language acquisition and improve educational experiences across different learning settings.[3]

Research Profile

With 88 scholarly documents, 1,164 citations, and an h-index of 17, the researcher has developed a recognized academic presence within higher education research. Areas of specialization include EFL teaching methodologies, virtual learning environments, active reading strategies, instructional technologies, and learner-centered pedagogies. The research portfolio reflects continuous engagement with contemporary educational challenges and opportunities.[1]

Research Contributions

Implementation of artificial intelligence tools for EFL instruction.
Advancement of CLIL methodologies through interactive educational technologies.
Investigation of game-based learning approaches in higher education.
Research on active reading strategies in virtual and remote learning contexts.
Development of evidence-based practices for digital language education.

Publications

Enhancing EFL Higher Education through Fliki Videos: An Artificial Intelligence Implementation Approach (2024).
Implementing the CLIL Approach through Online Games in EFL Education (2024).
Using Genially and Kahoot for Implementing CLIL in EFL Higher Education (2024).
Engaging EFL Students through the Game-Based Learning Approach in Higher Education (2023).
Implementing Active Reading Strategies in Virtual Settings During Remote Learning (2023).

Research Impact

The impact of the research is reflected in citation performance, adoption of technology-enhanced pedagogical approaches, and continued scholarly attention to digital learning environments. The studies contribute practical insights for educators, curriculum developers, and institutions seeking effective methods for integrating innovative technologies into language education. The work also supports broader discussions regarding educational transformation in the digital era.[4]

Award Suitability

Luz Castillo Cuesta demonstrates characteristics commonly associated with recipients of the Best Research Article Award, including sustained scholarly productivity, publication in peer-reviewed journals, measurable citation impact, and contributions to educational innovation. The researcher’s emphasis on practical applications of technology and evidence-based teaching methodologies aligns closely with contemporary priorities in higher education research and academic excellence.[5]

Conclusion

The academic achievements of Luz Castillo Cuesta illustrate a consistent commitment to advancing higher education through innovative language teaching and educational technology research. Through contributions to EFL instruction, CLIL implementation, game-based learning, and artificial intelligence applications, the researcher has developed a scholarly record that supports consideration for recognition within academic award programs.

External Links

References

Google Scholar. (n.d.). Luz Castillo Cuesta Scholar Profile.
https://scholar.google.com/citations?user=zwEdhc8AAAAJ
World Journal of English Language. (2024). Enhancing EFL Higher Education through Fliki Videos: An Artificial Intelligence Implementation Approach.
https://doi.org/10.5430/wjel.v15n1p424
Language Teaching Research Quarterly. (2024). Implementing the CLIL Approach through Online Games in EFL Education.
https://doi.org/10.32038/ltrq.2024.40.11
International Journal of Learning Teaching and Educational Research. (2024). Using Genially and Kahoot for Implementing CLIL in EFL Higher Education.
https://doi.org/10.26803/ijlter.23.7.13
International Journal of Learning Teaching and Educational Research. (2023). Engaging English as a Foreign Language Students through the Game-Based Learning Approach in Higher Education.
International Journal of Learning Teaching and Educational Research. (2023). Implementing Active Reading Strategies in Virtual Settings During Remote Learning.
https://doi.org/10.26803/IJLTER.22.8.10

Julio Cabero Almenara | Educational Technology | Best Researcher Award

Published on 21/05/202521/05/2025 by Top Teachers

Mr. Julio Cabero Almenara | Educational Technology | Best Researcher Award

Julio Cabero Almenara, University Sevill, Spain

Professor Julio Cabero Almenara is a Full Professor at the University of Seville, specializing in Didactics and School Organization. With a distinguished academic trajectory beginning in the 1980s, he currently directs both the Didactics Research Group (GID) and the Educational Technology Group at the University of Seville. His research contributions span over three decades, focusing on educational technology, digital pedagogy, and qualitative methods in education. Prof. Cabero has positively evaluated five research periods and holds the title of Honorary Researcher No. 1480 by the Ministry of Higher Education of the Dominican Republic. His passion for advancing digital learning methods has led to multiple national and international collaborations, and he has played pivotal roles in EU-funded education projects. Recognized for his innovative contributions to teacher training and audiovisual education, he continues to influence education policy and research across Spain and Latin America.

professional profile

Google Scholar

ORCID

Scopus Profile

Education

Prof. Julio Cabero Almenara obtained all his academic qualifications from the University of Seville. He earned his Licentiate in Philosophy and Letters (Education) in 1981 and followed it with an Advanced Licentiate in Philosophy and Educational Sciences (Pedagogy) in 1983, graduating with an Outstanding grade. He completed his Doctorate in Philosophy and Educational Sciences in 1988 with the distinction of Cum Laude. This solid academic foundation laid the groundwork for his career as a scholar in educational technology and didactics. Throughout his studies, he actively contributed to teaching and research initiatives, including receiving a collaboration grant and assisting with courses in psychodiagnostics and the history of philosophy. His early academic involvement reflects a consistent dedication to educational innovation and quality teaching. These formative academic experiences directly influenced his lifelong pursuit of excellence in teacher education, digital learning environments, and technological integration in classrooms.

work Experience

Prof. Cabero’s academic journey began as a Contracted Lecturer at the I.C.E. of the University of Seville in 1982. Over the years, he progressed through roles including Collaborating Lecturer, Tenured Lecturer, Associate Professor, and ultimately Full Professor in 2000. He has taught extensively in Educational Technology and Didactics, significantly shaping Spain’s teacher training systems. Beyond classroom teaching, he served as Director of Audiovisual and Educational Technology Services and Head of Training and Quality Divisions. His international contributions include guest lectures in Venezuela, Mexico, and France, often linked to audiovisual media in education. As Coordinator of the HORASOR Project and director of multiple EU-funded initiatives, he has bridged educational policy, research, and practical innovation. His work with scientific committees and collaborative programs underscores his influence in promoting educational excellence both nationally and internationally, especially in areas involving inclusive education, media literacy, and lifelong teacher development.

Research Focus

Prof. Cabero’s research primarily focuses on Educational Technology, Didactics, and School Organization, with a specific emphasis on audiovisual media, ICT integration, and qualitative research methodologies. As director of the GID (Technological and Qualitative Analysis) research group and the Educational Technology Group, his work explores how digital tools reshape teaching and learning. He investigates the didactic uses of video, the evaluation of educational media, and technological strategies for inclusive education. His projects often analyze the impact of ICT in school settings and teacher training. His involvement in EU-funded projects, especially those related to supporting hearing-impaired students (e.g., HORASOR), emphasizes accessibility and innovation. He also explores emerging fields such as digital competencies in educators, learning object repositories, and hybrid education models. His research continues to influence national education strategies, curriculum design, and the integration of multimedia resources into pedagogical frameworks.

🏅 Awards and Honors

Professor Cabero has been recognized both nationally and internationally for his contributions to educational research and innovation. He has received five positive evaluations from the Spanish National Commission for Research Activity (1989–1994 and 1995–2000 among them). Notably, he is an Honorary Researcher (No. 1480) of the National Career of Researchers in Science, Technology, and Innovation, awarded by the Dominican Republic’s Ministry of Higher Education. He was invited by Mexico’s National Technological Education System under the Ibero-American Scientific Cooperation Subprogram, reflecting his regional influence. His leadership of EU-funded projects such as HORASOR highlights his recognized capacity in project coordination. Prof. Cabero has been frequently invited to international symposia and university collaborations, reflecting his status as a thought leader in audiovisual and digital education. His long-standing role in the Audiovisual Resources and New Technologies Office further underlines his commitment to the development of innovative learning environments.

🛠️ Skills

Prof. Cabero possesses a wide range of academic and technological skills that support his leadership in the educational sciences. He is highly skilled in educational research methodologies, including both quantitative and qualitative analysis, with a focus on technological integration. His pedagogical expertise includes curriculum design, teacher training, and instructional media development. Technologically, he is proficient in audiovisual systems, multimedia production, and the design and evaluation of digital learning environments. As a project leader and director of multiple university divisions, he demonstrates strong skills in academic management, project coordination, and interdisciplinary collaboration. He has successfully led EU and Ibero-American cooperation projects, showcasing skills in international education policy and cross-cultural training. Furthermore, his teaching excellence is grounded in his ability to integrate interactive and media-based methodologies in higher education. His continued contributions to scientific committees and symposiums reflect his proficiency in scholarly communication and academic leadership.

Conclusion

Professor Julio Cabero Almenara is an exemplary scholar whose sustained contributions to educational technology, didactics, and teacher training have significantly influenced the Spanish and broader Ibero-American education systems. His long-term academic service, international outreach, and leadership in integrating technology in education make him highly deserving of the Research for Best Researcher Award.

Publications to Noted

Title: Impacto de las nuevas tecnologías de la información y la comunicación en las organizaciones educativas
👤 Author(s): JC Almenara
🔢 Citations: 1225
📅 Year: 1998

Title: La aplicación del juicio de experto como técnica de evaluación de las tecnologías de la información y comunicación (TIC)
👤 Author(s): JC Almenara, MCL Cejudo
🔢 Citations: 1052
📅 Year: 2013

Title: Las necesidades de las TIC en el ámbito educativo: oportunidades, riesgos y necesidades
👤 Author(s): JC Almenara
🔢 Citations: 725
📅 Year: 2007

Title: La utilización del juicio de experto para la evaluación de TIC: el coeficiente de competencia experta
👤 Author(s): JC Almenara, JMB Osuna
🔢 Citations: 598
📅 Year: 2013

Title: Reflexiones educativas sobre las tecnologías de la información y la comunicación (TIC)
👤 Author(s): JC Almenara
🔢 Citations: 594
📅 Year: 2015

Title: Marco Europeo de Competencia Digital Docente «DigCompEdu». Traducción y adaptación del cuestionario «DigCompEdu Check-In»
👤 Author(s): J Cabero-Almenara, A Palacios-Rodríguez
🔢 Citations: 528
📅 Year: 2020

Title: Comunidades virtuales para el aprendizaje. Su utilización en la enseñanza
👤 Author(s): JC Almenara
🔢 Citations: 524
📅 Year: 2006

Title: Tecnologías de la Información y la Comunicación (TIC): escenarios formativos y teorías del aprendizaje
👤 Author(s): J Cabero Almenara, MC Llorente Cejudo
🔢 Citations: 511
📅 Year: 2015

Title: Las TIC y la formación inicial de los docentes. Modelos y competencias digitales
👤 Author(s): JC Almenara, AM Gimeno
🔢 Citations: 497
📅 Year: 2019

Title: Empleo del método Delphi y su empleo en la investigación en comunicación y educación
👤 Author(s): JC Almenara, AI Moro
🔢 Citations: 487
📅 Year: 2014

Ehsan Adibnia | Automated Learning | Best Researcher Award

Published on 17/01/202517/01/2025 by Top Teachers

Dr. Ehsan Adibnia | Automated Learning | Best Researcher Award

Ph.D. Candidate at University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a Ph.D. candidate in Electrical Engineering at the University of Sistan and Baluchestan, Iran. His expertise spans artificial intelligence, machine learning, nanophotonics, optics, plasmonics, and their interdisciplinary applications. Currently focused on research in deep learning, photonics, and nanophotonics, he applies advanced simulation software and programming languages like Python, MATLAB, and Visual Basic. Ehsan is also actively involved in academic committees, including the 27th Iranian Conference on Optics and Photonics. He has authored multiple scientific publications in renowned journals and contributed to reviews in the fields of industrial electronics and artificial intelligence. Through his work, he is pushing the boundaries of knowledge in areas like optical switching, biosensors, and quantum physics. His goal is to drive innovation through interdisciplinary research and provide impactful solutions for modern technological challenges. 🌐📚

professional profiles

Scopus Profile

ORCID

Education

Ehsan Adibnia completed his B.S. in Electrical Engineering from the University of Sistan and Baluchestan, Zahedan, Iran, in 2014. He is currently pursuing his Ph.D. in Electrical Engineering at the same institution, focusing on deep learning, nanophotonics, and machine learning applications in optics and plasmonics. His academic journey has been marked by a passion for integrating artificial intelligence with photonic technologies, a field that promises significant advancements in both theoretical and practical applications. Ehsan’s research also delves into quantum physics, solid-state physics, and biosensors. As part of his education, he is using programming tools such as MATLAB, Python, and specialized software like COMSOL and Lumerical to implement algorithms and analyze data. His academic achievements reflect his commitment to pushing the boundaries of electrical engineering and contributing to the growing body of knowledge in the interdisciplinary areas of his research. 🎓🔬

work Experience

Ehsan Adibnia’s professional experience spans both academia and industry. He has contributed significantly to research projects in the areas of artificial intelligence, deep learning, and photonics, publishing several papers in high-impact journals such as Scientific Reports and Optics & Laser Technology. He is a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and has reviewed papers for multiple journals, including the International Journal of Industrial Electronics Control and Optimization. On the industrial side, Ehsan worked as a key member of the team responsible for PLC programming at Kerman Motor automotive factory, where he upgraded the paint shop’s PLC system to eliminate production line issues and improve safety. His technical expertise includes programming Mitsubishi PLCs and using software like Simatic Manager. Through this combination of academic research and practical experience, Ehsan has honed skills essential for technological innovation and system optimization. 🔧📊

Awards and Honors

Ehsan Adibnia’s work has been recognized both academically and professionally. He has received numerous accolades for his research in nanophotonics, machine learning, and optics. His contributions to the field of deep learning in photonics earned him recognition in the Scientific Reports, where several of his papers were published in 2023 and 2024. Ehsan has been awarded for his involvement in the executive committee of the Iranian Conference on Optics and Photonics, a prestigious academic event in the field. His technical expertise in PLC programming and systems optimization at Kerman Motor led to significant cost savings, preventing incidents and improving operational efficiency. Ehsan’s ongoing work in integrating machine learning with photonic design has positioned him as a leading figure in these cutting-edge fields. He is committed to contributing to the global community of researchers in his areas of expertise. 🏆🎖️

Research Focus

Ehsan Adibnia’s research focus centers on the integration of artificial intelligence, deep learning, and photonics to solve complex engineering challenges. Specifically, he explores the use of deep learning methods for the inverse design of all-optical nonlinear plasmonic ring resonator switches and the development of nanophotonic structures for switching applications. His work also extends to quantum physics, solid-state physics, and the application of machine learning in biosensors. One of his major research projects involves spectral prediction and inverse design of optical components using deep learning techniques, aiming to enhance the quality and performance of optical systems. His interdisciplinary approach combines fundamental physics with computational techniques to design innovative solutions in nanophotonics, optics, and plasmonics. Ehsan’s research aims to advance the theoretical understanding and practical applications of these technologies, with potential impacts on telecommunications, biomedical sensors, and quantum computing. 🔬💡

Skills

Ehsan Adibnia possesses a diverse set of skills essential for research and development in electrical engineering, nanophotonics, and machine learning. He is proficient in programming languages like MATLAB, Python, and Visual Basic, allowing him to develop algorithms and analyze large datasets. His expertise extends to simulation software such as Lumerical, COMSOL, and RSoft for photonics, making him adept at designing and simulating optical systems. Additionally, Ehsan is skilled in quantum physics, solid-state physics, and optoelectronics, focusing on the integration of artificial intelligence with photonic systems. He is also experienced in PLC programming, having worked on Mitsubishi and Siemens PLCs in the industrial sector. His contributions to deep learning, neural networks, and optical switching further highlight his broad technical knowledge. Moreover, Ehsan has experience with biosensors, metamaterials, and optical switching technologies. His interdisciplinary expertise makes him a versatile and innovative researcher in advanced engineering fields. 💻⚙️

Conclusion

Ehsan Adibnia is highly deserving of the Best Researcher Award due to his groundbreaking research in areas like nanophotonics, artificial intelligence, and deep learning, as well as his ability to apply these fields to real-world problems. His research not only pushes the boundaries of knowledge but also demonstrates significant industrial and societal impact. With continued development in international collaborations and public outreach, he is poised to become a leading figure in both academic and industry circles. His track record of innovative research, technical expertise, and academic contributions makes him an outstanding candidate for this prestigious award.

Publications to Noted

Chirped Apodized Fiber Bragg Gratings Inverse Design via Deep Learning

Authors: Ehsan Adibnia, V. Sepahvandi, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2025

DOI: 10.1016/J.OPTLASTEC.2024.111766

High-speed All-optical Symmetric 4 × 2 Encoder Using Interface Effects in Two-dimensional Photonic Crystals

Authors: M. Shahi, H. Saghaei, T. Nurmohammadi, F. Bahloul, B. Jafari, A.S. Karar, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.1364/AO.546599

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

Authors: M. Soroosh, F.K. AL-Shammri, M.J. Maleki, V.R. Balaji, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.3390/cryst15010024

Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning

Authors: Ehsan Adibnia, M. Ghadrdan, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2024

DOI: 10.1038/s41598-024-72125-4

Highly Sensitive Label-Free Biosensor: Graphene/CaF₂ Multilayer for Gas, Cancer, Virus, and Diabetes Detection with Enhanced Quality Factor and Figure of Merit

Authors: B. Jafari, E. Gholizadeh, B. Jafari, Ehsan Adibnia et al.

Citations: Not available

Year: 2023

DOI: 10.1038/S41598-023-43480-5

Optimization in Engineering (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2023

Link: Press USB

Physical Foundations of Solid-State Devices (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2021

DOI: 10.13140/RG.2.2.11757.56806

Link: Press USB

The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: Not available

DOI: 10.5281/zenodo.11266851