Healthcare AI
Healthcare AI aims to improve medical diagnostics, treatment, and operational efficiency across healthcare systems. Discover real-world use cases in areas such as mental health, radiology, neurology, dermatology, drug discovery, and healthcare analytics, to understand how AI can address clinical and administrative challenges.
25 Healthcare AI Use Cases with Examples
A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare.12 How do healthcare AI systems perform?…
Compare 9 Large Language Models in Healthcare
We benchmarked 9 LLMs using the MedQA dataset, a graduate-level clinical exam benchmark derived from USMLE questions. Each model answered the same multiple-choice clinical scenarios using a standardized prompt, enabling direct comparison of accuracy. We also recorded latency per question by dividing total runtime by the number of MedQA items completed. Benchmark methodology: This benchmark…