AI Shows Promise and Limitations Across Multiple Cancer Care Applications
- AI demonstrates significant potential in cancer diagnosis, with deep learning models achieving up to 94% accuracy in lung cancer prediction and substantially improving radiologist performance in image analysis.
- Recent studies show AI language models reaching 85% accuracy on medical oncology exam questions, though concerns remain about potential clinical harm from incorrect responses.
- AI applications are expanding into clinical trial design, patient recruitment, and treatment optimization, with ongoing trials evaluating AI platforms for immunotherapy and chemotherapy dose management.
National University Hospital, Singapore
Posted 9/10/2023
National University Hospital, Singapore
Posted 8/19/2021