The Architectural Shift: Integrating Artificial Intelligence from the Ground Up in Undergraduate Medical Education

Abstract excerpt

As healthcare enters an era defined by algorithmic decision-making, the traditional medical curriculum faces a fundamental challenge. The exponential growth of medical knowledge and the ubiquity of digital health tools render pedagogical models centred on rote memorisation increasingly inadequate. This review argues that Artificial Intelligence (AI) cannot be treated as a supplemental elective or a peripheral modu...

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• AI in cancer detection
• Cancer Genomics and Diagnostics
• Genetics, Bioinformatics, and Biomedical Research
• Genomics and Rare Diseases
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

a811f149-cf65-5b2f-990f-38f10b1e52af

DOI

10.20944/preprints202603.1560.v1