Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
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.
Between 2023 and 2025, educators at a single academic institution integrated an 8-hour interactive AI rotation into diagnostic radiology residency, combining didactics with lab modules on convolution, radiomics, machine learning, deep learning, evaluation, bias, and clinical cases for 27 residents across three cohorts.
A peer-reviewed study tested the Mistral-NeMo language model on 1000 operative notes from 177 providers to verify Current Procedural Terminology codes for lower-extremity orthopaedic surgery. When CPT billing descriptions were included in the prompt, the model correctly identified 90% of true codes and rejected 99.80% of incorrect codes.
Background To develop a machine learning model for early differentiation of primary immune thrombocytopenia (pITP) from connective tissue disease-related thrombocytopenia (CTD-TP) in children presenting with thrombocytopenia. Method A retrospective study was conducted on 387 newly diagnosed children with thrombocytopenia.
This peer-reviewed review from March 2024 surveys how artificial intelligence is being integrated across hospitals and clinics, covering clinical decision support, operational management, medical image analysis, and patient monitoring with AI-powered wearables, drawing on case studies of domain-specific transformation.
A peer-reviewed study published November 17, 2025 analyzed skill heterogeneity as technology moves from physical automation to cognitive automation. It assessed both substitution and control, finding limited substitution for high- and low-skilled workers, but stronger control for low-skilled workers, and compared sectoral effects of automation versus large language models.
Published December 2025 in Production Engineering Archives, this peer-reviewed theoretical paper reviews how artificial intelligence is being used in industry, including cobots, algorithmic management, employee monitoring, sustainability efforts, and generative AI, and summarizes existing international legal frameworks for safe and ethical AI.
Published December 5, 2025, this peer-reviewed study investigated how AI and Generative AI affect music streaming. Using two focus groups with users and with artists/performers, it explored perceptions of AI-generated music for listening and for artists' position and opportunities within the streaming model.