Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
A cross-sectional study of 8285 male high school students from the 2023 Youth Risk Behavior Surveillance System used 36 demographic, behavioral, and psychosocial predictors to model lifetime marijuana use, reported by 28.4% of participants. After benchmarking 17 algorithms, an optimized logistic regression model with SHAP and LIME explanations achieved AUC 0.9034 and accuracy 0.8582.
This peer-reviewed educational perspective from August 2026 examined how organ-at-risk contouring is taught in an Australian undergraduate radiation therapy program as AI auto-contouring enters clinical workflows. The authors reviewed curriculum scope and technologies and examined students' preferred methods, confidence across OARs, and perceived factors affecting quality.
Researchers derived and tested the triglyceride-glucose frailty index in 2230 MIMIC-IV adults with KDIGO-defined AKI, examining associations with ICU, in-hospital, 28-day, 90-day and 365-day mortality, identifying two consensus phenotypes, and evaluating 12 prediction algorithms with SHAP and LIME interpretation and external validation in 1831 eICU patients.
On 2026-08-22, a peer-reviewed study reported testing how three different allometric reference datasets affect Sentinel-2-based aboveground biomass mapping in Pinus brutia. Using 112 field plots and CART as primary model with Random Forest as robustness check, authors mapped biomass over 13,687 ha and compared totals to forest management plan data.
As of March 27 2024, this peer-reviewed review examined ChatGPT, described as Chat Generative Pre-trained Transformer, often referred to as ChatGPT-4, and its uses in academia. Using a noticing-collecting-thinking approach to review literature and online resources, it categorized opportunities and constraints into research, education, personal skill development, and social aspects.
Published 7 November 2025 in International Review of the Red Cross, this peer-reviewed analysis examined proposals to use LLM-powered chatbots to provide direct care, information and mental health and psychosocial support to women and girls in armed conflicts and humanitarian emergencies, with a focus on gender-based violence survivors.
Published November 17 2025 in Frontiers in Psychology, the article examines how AI has moved into emotion through affective computing that detects and simulates affect. It describes chatbots like Replika, Woebot and Kuki and therapeutic bots that use warmth and validation cues, and argues they create a compassion illusion where recognition is mistaken for resonance.
In a medical school basic science course, researchers deployed a retrieval-augmented teaching assistant that limited large language model outputs to instructor-curated materials across two consecutive cohorts. They tracked when and how students used it and what they asked, finding strategic, context-dependent adoption with heavier use during high-stakes assessments and after hours.
ace