Fireworks(@FireworksAI_HQ):Generic AI models are not built for medicine. Doximity Ask, trained and served on Fireworks, outperformed GPT-5.6 Sol, Claude Fable 5, and OpenEvidence in a Stanford-Harvard clinical AI safety study. Specialized intelligence beats the generic version when safety matters. @doximity proved it.

2026.07.15 22:35

Generic AI models are not built for medicine. Doximity Ask, trained and served on Fireworks, outperformed GPT-5.6 Sol, Claude Fable 5, and OpenEvidence in a Stanford-Harvard clinical AI safety study. Specialized intelligence beats the generic version when safety matters. @doximity proved it.

Doximity@doximity

2026.07.15 17:27

Finally: an independent, head-to-head test of clinical AI models. This week, Stanford's Arise Lab published one of the most comprehensive independent evaluations of clinical AI to date. The benchmark compared 24 frontier and clinical AI models, producing 12,747 expert rankings on their answers to real-world clinical questions. We were excited to see Doximity Ask outperform OpenEvidence, GPT-5.6, Claude Fable 5, Gemini 3.1 Pro, and other leading frontier AI models. The bigger story, though, is that clinical AI is finally getting the kind of rigorous, independent benchmarking it needs.