Microsoft AI

5 gain · 8 problem · 2 high-evidence

1. gainHealthModerate evidenceImpact 74

   Manus architecture using raw 3D CBCT data detected and correctly diagnosed 95% of jaw lesions in 97 patients, outperforming 2D panoramic inputs.

   A cross-sectional study tested four AI chatbots on 97 anonymized CBCT cases of jaw lesions, comparing performance on reconstructed 2D panoramic views and, for Manus, raw 3D DICOM data. Reports were scored for accuracy, relevance and feasibility, revealing statistically significant differences between systems.

   Aug 5, 2026

   1 source

   • Dentomaxillofacial RadiologyPeer-reviewed
2. problemHealthModerate evidenceImpact 68

   OpenEvidence and ChatGPT-5 demonstrated greater agreement with the expert reference standard, although clinically significant diagnostic errors were observed across all evaluated systems.

   Purpose The purpose of this study was to evaluate and compare four AI software programs-ChatGPT-5, Microsoft Copilot, Google Gemini (V 2.5), and OpenEvidence-in generating comprehensive dental treatment plans for minimally destructed and severely mutilated teeth using identical clinical inputs. Material and methods Ten anonymized clinical cases, each consisting of 1 intraoral photograph and 1 corresponding periapical radiograph, were independently submitted to each AI software program using a standardized prompt.

   Aug 23, 2026

   1 source

   • Journal of ProsthodonticsPeer-reviewed
3. gainHealthModerate evidenceImpact 68

   Guideline-specific and general-purpose LLMs produced responses broadly consistent with EAU erectile dysfunction recommendations, with Gemini 2.5 Pro and EAU Guidelines Bot achieving the highest composite scores.

   On 2026-08-07, a peer-reviewed comparative study tested five AI systems including the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perplexity Pro on 13 questions drawn from strongly recommended EAU erectile dysfunction statements. Three senior reviewers rated each answer for relevance, clarity, structure, clinical utility, and factual accuracy.

   Aug 10, 2026

   1 source

   • International Journal of Impotence ResearchPeer-reviewed
4. problemHealthModerate evidenceImpact 68

   Performance varied significantly across models and domains, with Copilot and Perplexity scoring lower and greater inconsistency in clarity, structure, and clinical utility.

   On 2026-08-07, a peer-reviewed comparative study tested five AI systems including the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perplexity Pro on 13 questions drawn from strongly recommended EAU erectile dysfunction statements. Three senior reviewers rated each answer for relevance, clarity, structure, clinical utility, and factual accuracy.

   Aug 10, 2026

   1 source

   • International Journal of Impotence ResearchPeer-reviewed
5. problemHealthModerate evidenceImpact 68

   Copilot and Claude produced the least accurate reports for jaw lesions, highlighting significant discrepancies in diagnostic accuracy across chatbots.

   A cross-sectional study tested four AI chatbots on 97 anonymized CBCT cases of jaw lesions, comparing performance on reconstructed 2D panoramic views and, for Manus, raw 3D DICOM data. Reports were scored for accuracy, relevance and feasibility, revealing statistically significant differences between systems.

   Aug 5, 2026

   1 source

   • Dentomaxillofacial RadiologyPeer-reviewed
6. problemClimateModerate evidenceImpact 56

   Building and expanding AI datacentres increased collective carbon emissions of Microsoft, Amazon and Google by nearly a fifth to 119m mTCO2e in FY ending March 2026.

   By July 2026, Microsoft, Amazon and Google reported combined emissions of 119m mTCO2e for the year ending March 2026, up from about 101m the previous year, with company reports attributing the rise to datacentre construction and supply chain expansion to support cloud services for training and operating AI products.

   Jul 20, 2026

   1 source

   • The GuardianJournalism