Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
On 2026-08-07, a Review in Nature Reviews Clinical Oncology described how AI enabled by electronic health record datasets and machine learning is being applied across pre-trial design, conduct, and post-trial inference in oncology. It reported that the most immediate evidence-supported uses are operational workflows under human oversight, including patient identification, eligibility assessment, data extraction, and trial monitoring, now implemented at select cancer centres.
Researchers retrospectively reviewed 125 orthodontic claims approved for compensation by the Danish Dental Compensation Association from September 2019 to August 2024. They applied Eindhoven incident analysis and AI-assisted qualitative analysis using a large language model to identify root causes and rate perceived avoidability on a 6-point scale.
Using genomic data from 220 UK Holstein cows, researchers tested Random Forest and Multi-Layer Perceptron models against conventional gBLUP for predicting residual feed intake, a feed-efficiency trait. The ensemble of RF and MLP achieved the best reported performance with R2=0.39 and RMSE=0.086, while SHAP analysis identified distinct and overlapping candidate genes.
A mixed-methods study examined how 19 professional writers and 30 avid readers understood authenticity in writing produced with AI assistance. Writers completed short writing tasks using both personalized and non-personalized GPT-4 suggestions, while readers evaluated passages written independently or with either form of AI support.
This March 2026 systematic and thematic review examined generative AI tools such as ChatGPT in higher education, analyzing 46 Web of Science documents and qualitatively synthesizing 27 peer-reviewed articles to map implementation trends.
A retrospective study of 300 patients with left anterior descending artery myocardial bridging and 104 controls used an AI-based platform, Shukun-FFRCT, to obtain whole-vessel and segmental FFRCT values and relate them to bridging morphology and sex.
A rapid review published April 29 2025 synthesized 6 real-world studies of digital scribes using ambient listening and generative AI from 1450 screened records spanning academic health systems, community settings, and outpatient practices. Across observational, case report, cohort, and survey designs, authors reported decreased self-reported documentation times with associated increased length of notes.
Researchers designed the Skyer benchmark to evaluate fifteen large language models on 55 realistic pediatric emergency department scenarios using a weighting system for over-triage and under-triage plus three repeat runs for consistency. By the publication date of July 11 2026, ChatGPT-4.5-preview and Gemini-2.5_05-06 had shown 77% and 74% accuracy with mean weights of 377.5 and 365 out of 550, compared to 64% and 253.5 for human experts.
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