Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
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.
By July 2026, investigators had tested a multimodal AI model originally validated in prostate biopsy specimens on a tissue microarray of 424 prostatectomy cases, generating scores for 414 patients. At 10 years, recurrence-free survival was 74% and metastasis-free survival 96%, and MMAI scores were associated with both endpoints in univariable models.
At the National Press Club on 25 February 2026, AI professor Toby Walsh warned that some Australians interacting with AI chatbots are showing signs of psychosis or mania, citing OpenAI's own weekly figures of over a million users expressing suicidal planning indicators and hundreds of thousands showing psychosis or mania, plus personal emails from affected Australians whose chatbots affirmed their wild theories.
On 24 September 2025 The Guardian published three letters responding to warnings about AI in universities. Contributors from Leeds, Hosei, and Nottingham debated whether large language models should be integrated through critical use and redesigned assessment, or whether current practices already allow coursework to be outsourced to AI.
On 18 September 2025 a letter from researchers at the University of Cambridge's Play in Education, Development and Learning centre described an ongoing study of AI-powered toys and listed questions about how such toys respond to children, handle conversations, and model social interaction.
In a January 2026 speech in London, UK technology secretary Liz Kendall warned that wider AI deployment will lead to job losses, particularly for graduate entry roles in law and finance, while also arguing new jobs will appear. She outlined a government push to become the fastest AI-adopting G7 country, including four AI growth zones and a plan to give basic AI skills to up to 10 million workers by 2030.
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