Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
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 developed DynStabNet, an E(3)-equivariant graph neural network that learns to predict whether crystal structures are dynamically stable from phonon-informed training data, avoiding explicit phonon calculations at inference. As of the July 2026 publication, the model was reported to reach 97% accuracy while reducing evaluation time per structure from several hours to about 1 ms.
Researchers built an 18-feature model across basic information, training, fitness and lifestyle dimensions for 800 Chinese university football players from a Kaggle dataset, comparing 10 algorithms and finding SVM best at 95.6% accuracy with SHAP highlighting stress, sleep and balance as key predictors.
On 2025-12-19, a peer-reviewed study in Communications Medicine described AIPatient, a simulated patient system powered by six LLM-based agents and a knowledge graph derived from MIMIC-III. Testing reported 94.15% accuracy on EHR-based medical QA, high validity, accessible readability scores, and stable performance across robustness tests, with a medical student user study finding high fidelity and educational value.
On 15 July 2026, Prime Minister Anthony Albanese announced a new office of AI and said Australia will legislate the strongest possible protection for creatives against unlicensed use of their work to train AI models, while also imposing strict new rules on large energy-intensive datacentres.
On 2026-02-05, Blue Ortho initiated a recall of Predict+, an AI-enabled clinical decision support tool that uses machine learning to predict outcomes after shoulder replacement surgery, because the device lacked pre-market clearance/approval.
A Frontiers in Cognition review published in November 2023 surveyed how digital devices, social media platforms, and AI tools affect human cognition. It described these technologies as integral to daily life, bringing convenience and efficiency, while also examining their positive and negative influences on attention, memory, addiction, perception, decision-making, critical thinking and learning across different age groups.
Researchers developed and internally validated machine-learning models to estimate the probability of urine-culture positivity using routinely collected urinalysis data from 2530 sample records across three university hospitals. Using a stratified 75:25 sample-level split, 13 supervised algorithms were tested, with CatBoost showing the highest test-set AUC of 0.858 (95% CI 0.829-0.892) and similar performance to other gradient-boosting models.
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