Microsoft plans to open-source SDBench, the Sequential Diagnosis Benchmark created to evaluate diagnostic capabilities step-by-step.

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Running on OpenAI's GPT-5.5 model, MAI-DxO achieved about 85% accuracy on emergency department cases both with and without orchestration.

Microsoft's MAI-DxO system achieved an 80.3% accuracy rate on emergency department admissions, compared to 46.8% for generalist physicians with internet access.

Microsoft's MAI-DxO diagnostic system achieved an 83.2% accuracy rate on complex medical cases from the New England Journal of Medicine in a study published in Science on October 22, 2026.

Microsoft compiled scenarios from medical case reports and emergency department data to create its SDBench benchmark.

The code and training model specifications for the Percival artificial intelligence model have been made open source by the Penn Medicine research team.

The Virtual Biology Initiative, partnering with Chan Zuckerberg Biohub, the U.S. Department of Energy, the National Institutes of Health, Google DeepMind, Isomorphic Labs, and Meta Platforms, aims to build open datasets for a virtual cell predicting cellular behavior

The Virtual Biology Initiative should eliminate its one-year commercial data embargo

A study by Jagiellonian University Medical College researchers found that ChatGPT-4o had an overall accuracy of 22.26% in identifying 265 marked anatomic structures on cadaveric specimens.

The Jagiellonian University Medical College study showed ChatGPT-4o achieved 64.71% accuracy for osteological structures but only 8.82% accuracy for isolated thoracic organs.