Related Experiment Video
Updated: Jun 30, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
From Turing to ChatGPT: The origins and transformations of medical artificial intelligence
Raphaël Bentegeac1,2, Aghiles Hamroun1,2,3, Valentin Goutaudier4
1Université de Lille, CHU Lille, Santé publique – épidémiologie, Lille, France
Abstract:
Artificial intelligence (AI) has experienced rapid growth in recent years with the advent of high-profile tools such as ChatGPT. However, its roots extend deep into the twentieth century. This article retraces the origins of AI and its major developments, showing how medical AI forms part of a long-standing scientific trajectory that predates the emergence of recent generative models. We first revisit the symbolic origins of AI, with the work of Alan Turing and the first programs capable of reasoning from explicit rules. We then examine the shift toward connectionist approaches centered on neural networks, which have driven major advances through machine learning and the availability of large datasets. Finally, we describe the current rise of generative AI, exemplified by large language models, and discuss its promises and limitations in medicine.
