John Obeid
Biographic Data
| ID | 9597014 |
|---|---|
| NAME | John Obeid |
| GIVEN NAMES | John |
| FAMILY NAME | Obeid |
| SIGNATURE | OBEID J |
| AFFILIATIONS | Central Michigan University College of Medicine, Mount Pleasant, Michigan, USA |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Artificial intelligence in medical ethics education
INTRODUCTION: Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opportunities is content creation for medical ethics assessment. Assessing the performance of AI in generating multiple choice questions (MCQs) in ethics that aligns with United States Medical Licensing Examination (USMLE) is important. The present study evaluates the performance of eight AI models-GPT…
Artificial intelligence, pharmaceutical development and dual-use research of concern
Fervent attention was paid to what is coined dual-use research (DUR), or research that can both benefit and harm humanity, and dual-use research of concern (DURC), a particular subset of DUR that is reasonably anticipated to be a safety and security concern if misapplied. The aim of this paper is not to reiterate the challenges of DURC governance but to look at a new turn in DURC, namely the challenges posed by the use of artificial intelligence …
No prominent works on this page.
Artificial intelligence in medical ethics education
INTRODUCTION: Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opportunities is content creation for medical ethics assessment. Assessing the performance of AI in generating multiple choice questions (MCQs) in ethics that aligns with United States Medical Licensing Examination (USMLE) is important. The present study evaluates the performance of eight AI models-GPT…
Artificial intelligence, pharmaceutical development and dual-use research of concern
Fervent attention was paid to what is coined dual-use research (DUR), or research that can both benefit and harm humanity, and dual-use research of concern (DURC), a particular subset of DUR that is reasonably anticipated to be a safety and security concern if misapplied. The aim of this paper is not to reiterate the challenges of DURC governance but to look at a new turn in DURC, namely the challenges posed by the use of artificial intelligence …
AI in Service Interactions (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biomedical and Engineering Education (1 work) · Biosimilars and Bioanalytical Methods (1 work) · Business (1 work) · Call to action (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Computer Science (1 work) · Corporate governance (1 work) · Descriptive research (1 work)