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Updated: Jun 18, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

[Patient similarity: When the internist's reasoning meets artificial intelligence].

Guillaume Faure¹, Xavier Tannier¹, Christel Gerardin²

¹Inserm, Limics, Sorbonne université, université Sorbonne Paris-Nord, 15, rue de l'École de médecine, 75006 Paris, France.

La Revue De Medecine Interne

|June 16, 2026

Summary

Patient similarity search uses artificial intelligence to find similar patients in medical databases, aiding diagnosis and treatment personalization for complex cases. This approach supports clinical decisions but requires careful oversight and training.

Area of Science:

Internal Medicine
Artificial Intelligence
Health Informatics

Keywords:

Apprentissage automatique Artificial intelligence Dossier médical informatisé Electronic health records Intelligence artificielle Machine learning Médecine de précision Patient similaire Patient similarity Precision medicine

Related Experiment Videos

Last Updated: Jun 18, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025