The Current and Future State of AI Interpretation of Medical Images.

By Pranav Rajpurkar, Matthew P. Lungren. New England Journal of Medicine, 2023

337 citations recorded by the source corpus.

(Abstracted from N Engl J Med 2023;388:1981–1990) Artificial intelligence (AI) is playing an increasing role in many aspects of business and health care, including in the interpretation of medical images. This article is a review and discussion about the progress, challenges, and opportunities associated with AI in assisting radiologists and other medical professionals, in addition to risks associated with AI interpretation of images.

Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/554b3ea5c82cde1884432259bf83bb8807bfb982

Citations in the corpus

• Large-scale pancreatic cancer detection via non-contrast CT and deep learning (2023, neutral): “Fifth, the AI model’s continual learning 27 enhances specificity to 99.9% by fine-tuning with false positives from external centers and the real world.”