Artificial Intelligence and Medical Diagnosis: An Educational Overview for Medical Students

ABSTRACT Artificial intelligence (AI) is increasingly used to analyze medical images, laboratory results and clinical information. In diagnosis, AI may help identify patterns, prioritize cases and support clinicians' decisions. However, high performance on a test dataset does not prove that a system improves care in real practice. Bias, limited explainability, privacy concerns and weak external validation can limit clinical benefit. Safe use requires transparent evidence, human oversight and monitoring in the settings where the tool is used. This is an educational overview for introductory medical studies. This paper summarizes published evidence and is not original clinical research. Author: Hala Salem Al-Hannawi, First-Year Medical Student, October 2026 Keywords: Artificial Intelligence, Medical Diagnosis, Clinical Decision Support, Medical Ethics License: CC BY 4.0

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23841043
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Medical Diagnosis: An Educational Overview for Medical Students

Hala Salem Y Elhenawy
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence and Medical Diagnosis: An Educational Overview for Medical Students

Hala Salem Y Elhenawy
article en

Abstract

ABSTRACT Artificial intelligence (AI) is increasingly used to analyze medical images, laboratory results and clinical information. In diagnosis, AI may help identify patterns, prioritize cases and support clinicians' decisions. However, high performance on a test dataset does not prove that a system improves care in real practice. Bias, limited explainability, privacy concerns and weak external validation can limit clinical benefit. Safe use requires transparent evidence, human oversight and monitoring in the settings where the tool is used. This is an educational overview for introductory medical studies. This paper summarizes published evidence and is not original clinical research. Author: Hala Salem Al-Hannawi, First-Year Medical Student, October 2026 Keywords: Artificial Intelligence, Medical Diagnosis, Clinical Decision Support, Medical Ethics License: CC BY 4.0

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
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