Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Researchers prompted ChatGPT, DeepSeek, and Gemini with standardized musculoskeletal complaints for Lynchburg, VA and Trumbull, CT, and judged whether recommended physicians were currently practicing locally in the relevant specialty and whether phone numbers were correct. By the August 13, 2026 publication date, ChatGPT was appropriate in all 17 recommendations, while Gemini and DeepSeek were appropriate in 43% and 40% of recommendations respectively.
This first-stage retrospective validation evaluated YOLOv8-based models to automate the anatomical inputs for the Cameriere European dental age estimation method using 4,050 panoramic radiographs of children aged 5-13. A YOLOv8x-pose model detected open-apex landmarks and a YOLOv8x-seg model segmented closed apices, with performance compared to manual reference annotations from CranioCatch software.
A comparative study published August 7, 2026 evaluated ChatGPT-5.0 against five supervised machine learning algorithms for orthodontic extraction decisions. Using 520 cases (42.88% extraction, 57.12% non-extraction) and 23 clinical, cephalometric and photographic variables, with expert consensus as reference, ChatGPT-5.0 achieved 75.77% accuracy and 76.68% sensitivity under 5-fold cross-validation, compared to 78.08% accuracy for XGBoost.
In a retrospective study of 102 patients at a tertiary care center in India, researchers used k-means clustering on eight biopsychosocial baseline variables to derive three AUD profiles. By the August 2026 publication date, they reported Late-Onset, High-Functioning, and Severe groups with differing 3-month abstinence rates corroborated by GGT levels and bootstrap-assessed cluster stability.
A peer-reviewed study published September 7, 2026 compared three large language models to 10 international hip preservation experts on a 21-item questionnaire derived from consensus guidelines for femoroacetabular impingement, dysplasia and microinstability. Gemini scored 100%, ChatGPT 98.4% and Claude 96.8% versus 90.5% for experts, with models also showing higher intra-item agreement.
In a November 2023 peer-reviewed study, researchers surveyed 68 educators and 158 university students about when generative AI should be used in academic writing. Participants reviewed ChatGPT prompts and outputs for brainstorming, outlining, writing, revising, feedback, and evaluating, and rated acceptability for student versus teacher use.
By October 2025, peer-reviewed literature described AI as a key enabler of personalized nutrition, using machine learning to analyze multiomics datasets and guide microbiome-based dietary interventions for obesity, diabetes, cardiovascular and gastrointestinal disorders with support from digital twins and health knowledge graphs.
Researchers developed a YOLOv11 Nano model to detect pediatric supracondylar fractures and classify Gartland subtypes I-III on 1082 elbow radiographs from 2004-2018, testing three patient-level validation schemes and adding bone segmentation and explainable AI visualizations. They also conducted a PRISMA-DTA meta-analysis of four studies totaling 2232 images comparing CNN and radiomics approaches.