AI in healthcare demonstrates progress in tasks like skin cancer classification and medical imaging, but faces challenges in bias and requires randomized controlled medical studies for AI-enabled devices.
AI in healthcare is advancing, with deep learning algorithms matching or outperforming human experts in tasks like skin cancer classification and medical imaging diagnostics. However, challenges persist, including bias in AI algorithms that may perpetuate disparities. Experts at the American Thoracic Society (ATS) International Conference discussed AI's impact on healthcare, highlighting the need for randomized controlled medical studies for AI-enabled medical devices.
May 20, 2024
3 Articles