Decoding the Past, Informing the Future: Artificial Intelligence as a Bridge Between Ancient Egyptian Medical Knowledge and Modern Surgical Practice
Zain Khalpey, Hossam Amer, Alyssa Abraham

TL;DR
This paper explores how AI can help modern medicine learn from ancient Egyptian medical texts by analyzing their diagnostic and treatment approaches.
Contribution
The paper introduces the use of AI and digital tools to reinterpret ancient Egyptian medical knowledge, revealing its empirical foundations.
Findings
The Edwin Smith Papyrus shows early evidence-based medical decision-making through case-based injury documentation.
Digital analysis of the Ebers Papyrus reveals a sophisticated pharmacological system combining practical and spiritual elements.
AI tools improve translation and interpretation of ancient texts, highlighting Egypt's role in medical science evolution.
Abstract
Ancient Egyptian civilization is widely recognized for achievements in architecture, mathematics, and engineering, yet its medical tradition was equally advanced. Medical knowledge was systematically recorded in hieroglyphic inscriptions and papyri, most notably the Edwin Smith and Ebers papyri. These texts provide rare insight into early clinical reasoning, documenting approaches to anatomy, trauma, disease, and treatment with a sophistication unusual for the period. This review examines Egyptian medical practice through primary texts and established Egyptological scholarship, situating these sources within the broader development of medical thought. It also explores how modern tools, including artificial intelligence, natural language processing, and digital imaging can be applied to reanalyze these materials, enabling improved translation, pattern recognition, and reassessment of…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsPaleopathology and ancient diseases · History of Medicine Studies · Anatomy and Medical Technology
