Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Researchers surveyed college students in China with the Self-Rating Anxiety Scale and, with informed consent, analyzed their public Weibo posts. Using multi-dimensional features, a Random Forest model predicted anxiety scores within the study sample, achieving the best test performance among four models tested.
On Friday, several major music industry organizations unveiled a labeling system for content created with generative artificial intelligence, with the stated goal of seeing it widely adopted.
Researchers developed a hybrid deep learning system for early autism spectrum disorder risk indication that fuses a ResNet18 model trained on static periocular images with a multi-CNN facial ensemble of ResNet50, EfficientNet-B0 and DenseNet121, combining outputs through an OR-based reliability rule and using Grad-CAM to highlight decision regions.
In a retrospective study of 4027 consecutive non-contrast head CT examinations from an emergency hospital in southwest Sweden, researchers compared three commercial AI algorithms for intracranial hemorrhage detection against reports from two radiologists, using two-tier consensus adjudication as the reference standard for 385 positive or discrepant cases.
As of May 2025, this review in World Psychiatry examined how smartphone apps, virtual reality, and generative AI including large language models are being applied to mental health, evaluating evidence across well-being, depression, anxiety, schizophrenia, eating disorders and substance use, and outlining advances in digital phenotyping and generative outputs.
Researchers evaluated 21 off-the-shelf large language models, including GPT-5, Claude 4.5 Opus, Gemini 3.0 and Grok 4, on 29 standardized MSD Manual clinical vignettes representing 16,254 responses scored by medical students. Using the PrIME-LLM composite across differential diagnosis, diagnostic testing, final diagnosis, management, and miscellaneous reasoning, scores ranged from 0.64 to 0.78.
Researchers developed and tested an informatics framework to convert heterogeneous discharge medication identifiers from EHRs of adults 65 and older at Buffalo General Medical Center between 2020 and 2024 into standardized RxCUI ingredient and ATC class codes. Of 214,080 records, 53% were nonstandardized Multum IDs requiring string-based reconciliation, and the team measured mapping success and correction needs after deterministic crosswalks and expert validation.
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