Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Between August 2023 and July 2024, four radiologists interpreted 4577 screening and diagnostic mammograms in a prospective alternating-month design where a commercial AI system was shown or hidden. Reading times from PACS logs, cancer detection rates, and abnormal interpretation rates were compared between AI-assisted and non-AI-assisted months, with reading time analysis restricted to 2917 cases under five minutes.
On 2026-08-12, a peer-reviewed study described CURL-AID, a fully automated framework that segments the posterior mitral annulus and left ventricular wall on parasternal long-axis echocardiograms, tracks tissue motion, and classifies posterior systolic curling using nine kinematic features in 100 retrospectively analyzed patients.
On August 12, 2026, a review in the International Journal of Toxicology summarized AI and machine learning use in toxicological risk assessment to predict chemical toxicity and support regulatory decisions, noting that explainable AI methods like SHAP and LIME are being explored to make model decisions interpretable.
Researchers developed a high-precision machine learning force field for the molten salt reactor fuel salt LiF-BeF2-UF4 using deep potential molecular dynamics combined with active learning, validated against density functional theory and experiments. They then used the model to systematically calculate microstructural metrics and thermophysical and transport properties across a wide temperature range of 773-1173 K and UF4 concentrations of 3-50 mol%.
The peer-reviewed commentary from April 2024 analyzes the rapid uptake of generative AI chatbots like ChatGPT in universities, noting both potential to enhance teaching, research, administration and student support and simultaneous pressures from hype and commercial edtech actors.
On 2024-04-11 this peer-reviewed paper proposed a strategic human resource management framework for integrating generative artificial intelligence in business, arguing existing HRM frameworks fall short and outlining components including alignment with business objectives, seizing opportunities, resource assessment and orchestration, re-institutionalization and continuous learning.
Published in December 2025, this Viewpoint in The Lancet Digital Health evaluates how to validate predictive AI models that estimate binary outcome probabilities for clinical use. The authors reviewed 32 performance measures across five domains and examined whether each measure is proper and whether it accounts for misclassification costs, illustrating findings with the ADNEX model for ovarian tumour malignancy.
Published May 22, 2024, this peer-reviewed article analyzes generative AI's transformative role in creative media and arts industries through the lens of the 2023 Writers' and Actors' strikes. It critiques the prevailing 'replacing tasks' narrative and applies a meaningful work framework to argue for coexistence that amplifies rather than supplements human creativity, using Jurassic Park's VFX transition as a historical parallel.
ace