Tracing the trajectory of artificial intelligence (AI) in medicine reveals a tapestry of innovation, with threads reaching back to the late 20th century when rudimentary computer programs first offered diagnostic assistance[ [1] Sutton R.T. Pincock D. Baumgart D.C. et al. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med. 2020; 3: 17 Crossref PubMed Scopus (807) Google Scholar ]. However, it wasn't until the emergence of deep learning that the true narrative of AI began to unfold—a tale where its capabilities to support diagnosis and decision-making started to be vividly imagined and explored.