Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care
Artificial intelligence (AI) is transforming healthcare delivery, offering unprecedented opportunities for enhanced diagnostics, efficiency, and patient care. However, this transformation also introduces pressing ethical challenges, particularly concerning autonomy, algorithmic bias, and data privac...
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| Format: | Article |
| Language: | English |
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University Library System, University of Pittsburgh
2025-03-01
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| Series: | International Journal of Medical Students |
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| Online Access: | http://ijms.info/IJMS/article/view/3344 |
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| author | Eleanor Roy Sara Malafa Lina M. Adwer Houda Tabache Tanishqa Sheth Vasudha Mishra Moaz Elsayed Abouelmagd Andrea Cushieri Sajjad Ahmed Khan Mihnea-Alexandru Gaman Juan C. Puyana Francisco Javier Bonilla-Escobar |
| author_facet | Eleanor Roy Sara Malafa Lina M. Adwer Houda Tabache Tanishqa Sheth Vasudha Mishra Moaz Elsayed Abouelmagd Andrea Cushieri Sajjad Ahmed Khan Mihnea-Alexandru Gaman Juan C. Puyana Francisco Javier Bonilla-Escobar |
| author_sort | Eleanor Roy |
| collection | DOAJ |
| description | Artificial intelligence (AI) is transforming healthcare delivery, offering unprecedented opportunities for enhanced diagnostics, efficiency, and patient care. However, this transformation also introduces pressing ethical challenges, particularly concerning autonomy, algorithmic bias, and data privacy. In this editorial, we explore these issues through the lens of medical students and future physicians, emphasizing the need for ethical vigilance and proactive governance in the deployment of AI technologies in clinical settings.
We argue that while AI can support autonomy by providing personalized insights, opaque “black box” models and lack of informed consent can undermine shared decision-making and trust. Algorithmic bias further threatens equity in care, as many AI systems are trained on unrepresentative datasets, leading to disparities in diagnosis and treatment. Additionally, concerns about data ownership, consent, and commercial use of patient information demand renewed attention to privacy and transparency.
Medical education must evolve to prepare future clinicians to engage with AI critically and ethically. This includes training in bias recognition, responsible use, patient-centered communication, and contextual awareness. The integration of AI into curricula should go beyond technical literacy, fostering a deep understanding of its limitations and social implications.
Finally, robust governance and regulatory oversight are essential. Institutions, policymakers, and international organizations must ensure that AI systems in healthcare align with principles of justice, beneficence, and respect for persons. AI must enhance, not replace, human judgment, and its adoption must be guided by continuous ethical reflection and patient-centered values.
By embracing transparency, equity, and collaboration, AI can be a powerful tool that strengthens the foundations of ethical medical practice.
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| format | Article |
| id | doaj-art-bede82cc04714ab4b352489a3389f19c |
| institution | OA Journals |
| issn | 2076-6327 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | University Library System, University of Pittsburgh |
| record_format | Article |
| series | International Journal of Medical Students |
| spelling | doaj-art-bede82cc04714ab4b352489a3389f19c2025-08-20T01:51:39ZengUniversity Library System, University of PittsburghInternational Journal of Medical Students2076-63272025-03-0113110.5195/ijms.2025.3344Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered CareEleanor Roy0Sara Malafa1Lina M. Adwer2Houda Tabache3Tanishqa Sheth4Vasudha Mishra5Moaz Elsayed Abouelmagd6Andrea Cushieri7Sajjad Ahmed Khan8Mihnea-Alexandru Gaman9Juan C. Puyana10Francisco Javier Bonilla-Escobar11MD Student, The University of Nicosia, Cyprus.MD Student, Sant’Anna School of Advanced Studies, Italy.University of Nebraska Medical Center College of MedicineUniversity Mohammed VI PolytechnicKJ Somaiya Medical College and Research CentreAll India Institute of Medical Sciences, BhubaneswarAffiliation: Kasr-Alainy Faculty of Medicine, Cairo UniversityHumanitas UniversityBirat Medical College Teaching Hospital, Morang, Nepal, Kathmandu UniversityMD, PhD(c), Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania & Department of Hematology, Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania. Scientific Editor, IJMS.MD, FACS, School of Medicine, Department of Surgery, Professor of Surgery, Critical Care Medicine, and Clinical TranslationalScience, Director for Global Health-Surgery, University of Washington, WA, USA. O'Brien Professor of Global Surgery for Royal College of Surgeons in Ireland (RCSI). Editorial Board Member, IJMSMD, MSc, PhD, Department of Ophtalmology; University of Washington, Seattle, WA, USA. Fundación Somos Ciencia al Servicio de la Comunidad, Fundación SCISCO/Science to Serve the Community Foundation, SCISCO Foundation, Cali Colombia. Grupo de investigación en Visión y Salud Ocular, VISOC, Universidad del Valle, Cali, Colombia. Editor in Chief, IJMS. Artificial intelligence (AI) is transforming healthcare delivery, offering unprecedented opportunities for enhanced diagnostics, efficiency, and patient care. However, this transformation also introduces pressing ethical challenges, particularly concerning autonomy, algorithmic bias, and data privacy. In this editorial, we explore these issues through the lens of medical students and future physicians, emphasizing the need for ethical vigilance and proactive governance in the deployment of AI technologies in clinical settings. We argue that while AI can support autonomy by providing personalized insights, opaque “black box” models and lack of informed consent can undermine shared decision-making and trust. Algorithmic bias further threatens equity in care, as many AI systems are trained on unrepresentative datasets, leading to disparities in diagnosis and treatment. Additionally, concerns about data ownership, consent, and commercial use of patient information demand renewed attention to privacy and transparency. Medical education must evolve to prepare future clinicians to engage with AI critically and ethically. This includes training in bias recognition, responsible use, patient-centered communication, and contextual awareness. The integration of AI into curricula should go beyond technical literacy, fostering a deep understanding of its limitations and social implications. Finally, robust governance and regulatory oversight are essential. Institutions, policymakers, and international organizations must ensure that AI systems in healthcare align with principles of justice, beneficence, and respect for persons. AI must enhance, not replace, human judgment, and its adoption must be guided by continuous ethical reflection and patient-centered values. By embracing transparency, equity, and collaboration, AI can be a powerful tool that strengthens the foundations of ethical medical practice. http://ijms.info/IJMS/article/view/3344Artificial Intelligenceinnovationhelthcare |
| spellingShingle | Eleanor Roy Sara Malafa Lina M. Adwer Houda Tabache Tanishqa Sheth Vasudha Mishra Moaz Elsayed Abouelmagd Andrea Cushieri Sajjad Ahmed Khan Mihnea-Alexandru Gaman Juan C. Puyana Francisco Javier Bonilla-Escobar Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care International Journal of Medical Students Artificial Intelligence innovation helthcare |
| title | Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care |
| title_full | Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care |
| title_fullStr | Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care |
| title_full_unstemmed | Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care |
| title_short | Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care |
| title_sort | artificial intelligence in healthcare medical students perspectives on balancing innovation ethics and patient centered care |
| topic | Artificial Intelligence innovation helthcare |
| url | http://ijms.info/IJMS/article/view/3344 |
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