Innovative Research Award
Hiba Hamdar, MD — Emergency Medicine Physician, Medical Researcher and HealthTech Innovator, Medical Learning Skills Academy, Germany
| Hiba Hamdar |
| Affiliation |
Medical Learning Skills Academy |
| Country |
Germany |
| Google Scholar |
ga_S3XAAAAAJ |
| Documents |
58 |
| Citations |
100 |
| h-index |
5 |
| Subject Area |
Artificial Intelligence |
| Event |
Top Teachers Awards |
| Scopus ID |
57196075496 |
| ORCID |
0000-0002-4488-7323 |
Hiba Hamdar, MD, is an emergency medicine physician and medical researcher whose professional activities combine clinical medicine, medical education, evidence-based research and health technology. Her academic profile records 58 documents, 100 citations and an h-index of 5. Her work also includes development of technology-supported medical learning environments and research-oriented educational initiatives. [1]
Abstract
Hiba Hamdar is an MD-qualified emergency medicine physician, researcher and health technology innovator with professional experience spanning emergency care, clinical training, medical education and digital health. Her academic activities encompass medical research, systematic review methods, clinical case work and interdisciplinary collaboration. She founded the Medical Learning Skills Academy and developed the MLS Virtual Hospital, an AI-supported clinical training environment designed to provide learners with structured practice in history-taking, diagnosis, investigation interpretation and procedural learning. The project has been deposited in Zenodo and assigned DOI 10.5281/zenodo.20392558. [3]
Keywords
Artificial intelligence; medical education; emergency medicine; digital health; health technology; clinical simulation; machine learning; medical research; evidence-based medicine; Python; Streamlit; clinical decision support.
Introduction
Hiba Hamdar’s professional profile is situated at the intersection of clinical practice, medical education and emerging health technologies. Following her Doctor of Medicine education at the Medical University of Plovdiv, she developed clinical experience in emergency medicine together with rotations and internships in obstetrics and gynecology, hematology, oncology, cardiology, cardiovascular surgery, pediatric surgery and internal medicine. Her stated research interests include academic medicine, abdominal tuberculosis, neurochemical research and other clinical and biomedical subjects.
Her professional activities subsequently expanded toward digital medical education. Through the Medical Learning Skills Academy, she has developed educational programs intended to connect theoretical medical knowledge with practical clinical competencies. This approach includes structured learning in anamnesis, physical examination, electrocardiographic and imaging interpretation, resuscitation, procedural skills and clinical case presentation.
Research Profile
Hiba Hamdar’s research profile combines clinical medicine with health technology and educational innovation. Her documented academic record includes 58 documents, 100 citations and an h-index of 5 and Scopus profile records 22 documents, 74 citations, and an h-index of 5.[1][2] Her research and professional interests cover general and internal medicine, cardiovascular medicine, health care sciences, neurosciences and experimental medicine, while artificial intelligence and digital health represent important components of her technology-oriented work.
Her technical activities include Python programming, Streamlit application development, electronic health record concepts, retrieval-augmented generation systems, artificial-intelligence and large-language-model integration, medical database management, multiple-choice assessment systems and three-dimensional medical visualization. These skills are applied primarily to medical learning and clinical simulation rather than as independent software-development activities.
Her professional service has included editorial, peer-review and guest-editing responsibilities, together with participation in international research collaborations. She has also been involved in a global surgical outcomes collaboration associated with the HIPPO Global Cohort Study and has led the MLS Rare Cases Global Project.
Research Contributions
A central contribution of Hiba Hamdar’s work is the development of medical-learning infrastructure that combines clinical reasoning with interactive technology. The MLS Virtual Hospital uses Python and Streamlit to provide simulated clinical encounters involving patient history-taking, diagnostic reasoning, laboratory and imaging interpretation and procedural learning. Its reported components include a multiple-choice question system, mentor directory, clinical case library, three-dimensional procedure viewer and retrieval-augmented medical knowledge functionality. [3]
Her research contribution also includes participation in clinical and biomedical literature addressing therapeutic applications and systematic evidence synthesis. Examples supplied in her academic record include research concerning medical gases in cancer treatment and systematic evidence regarding the anti-inflammatory effects of mesenchymal stem cells in burns. [4] [5]
Through the MLS Academy, Hamdar further contributes to medical education by integrating practical clinical skills, research literacy and technology competencies into structured learning activities. Her stated objective is to create a continuous pathway from foundational medical training to clinical reasoning, research production and responsible use of artificial intelligence.
Publications
Hiba Hamdar’s publication and editorial activities span clinical medicine, biomedical research, medical education and emerging health technologies. Her profile reports more than 20 peer-reviewed publications and book chapters, together with editorial involvement in books addressing neuroscience, brain-heart connections, artificial intelligence in smart healthcare systems and infectious diseases. Her publication record is indexed through academic research platforms including Google Scholar and Scopus. [1] [2]
Representative research cited in the supplied academic record includes the 2025 article by Al Bazzal and colleagues on potential therapeutic applications of medical gases in cancer treatment and the 2022 systematic review by Eldaly and colleagues examining systemic anti-inflammatory effects of mesenchymal stem cells in burns. These publications illustrate the broader biomedical research context associated with her academic profile. [4] [5]
Research Impact
The available bibliometric information records 100 citations and an h-index of 5 across 58 documents in the supplied profile data. [1] These indicators provide a quantitative description of the visibility of her indexed research but should be interpreted alongside publication quality, research collaboration, methodological contribution and practical relevance.
A distinctive aspect of her current work is the translation of research and clinical knowledge into digital learning environments. The MLS Virtual Hospital represents an applied technology project in which artificial intelligence, software development and clinical education are brought together in a simulation-based setting. Its Zenodo record provides a persistent scholarly reference for the project. [3]
Her participation in international clinical research and editorial activities additionally indicates engagement beyond individual clinical practice. The combination of clinical experience, research participation, medical education and technology development provides a multidisciplinary basis for continued work in AI-enabled healthcare learning.
Award Suitability
For the Innovative Research Award associated with the Top Teachers Awards, Hiba Hamdar’s profile demonstrates several relevant characteristics: an established clinical and research background, documented scholarly output, participation in peer review and editorial activities, and practical development of technology for medical education. Her work on the MLS Virtual Hospital is particularly relevant to an innovation-focused recognition because it connects clinical training with artificial intelligence, interactive simulation and structured digital learning. [3]
The award suitability assessment is supported by the combination of measurable academic indicators and applied educational innovation. Her profile records 58 documents, 100 citations and an h-index of 5, while her professional activities include founding and directing a medical education academy and contributing to digital-health development. [1] These elements provide a substantive basis for consideration within a research and teaching innovation category.
Conclusion
Hiba Hamdar’s academic and professional profile reflects an interdisciplinary trajectory connecting emergency medicine, biomedical research, medical education and artificial intelligence. Her documented research activity, international collaboration, editorial service and development of the MLS Virtual Hospital demonstrate an emphasis on applying technology to structured medical learning. The combination of scholarly activity and practical health-technology development provides a relevant foundation for recognition in an innovative research and education context.[1]
External Links
References
- Google Scholar. (n.d.). Hiba Hamdar, Google Scholar author profile. https://scholar.google.com/citations?hl=en&user=ga_S3XAAAAAJ
- Elsevier. (n.d.). Scopus author details: Hiba Hamdar, Author ID 57196075496. Scopus. https://www.scopus.com/pages/authors/57196075496
- Hamdar, H. (2025). MLS Virtual Hospital. Zenodo. DOI: https://doi.org/10.5281/zenodo.20392558
- Hamdar, H, Al Bazzal, A., Hoteit, B. H., Chokor, M., Safawi, A., Zibara, Z., Rizk, F., Kawssan, A., et al. (2025). Potential therapeutic applications of medical gases in cancer treatment. Medical Gas Research, 15(2), 309. https://pmc.ncbi.nlm.nih.gov/articles/PMC11918469/
- Hamdar, H, Eldaly, A. S., Mashaly, S. M., Fouda, E., Emam, O. S., Aglan, A., Abuasbeh, J., et al. (2022). Systemic anti-inflammatory effects of mesenchymal stem cells in burn: A systematic review of animal studies. Journal of Clinical and Translational Research, 8(4), 276. https://pmc.ncbi.nlm.nih.gov/articles/PMC9389574/