Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
A peer-reviewed study in Journal of Health Organization and Management examined how healthcare workers respond to AI-driven transformation. Using face-to-face surveys of 305 staff at a university hospital in Istanbul in early 2026, the authors tested whether openness to organizational change and attitudes toward AI affect innovative work behavior via technostress.
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies reporting original, evaluated interventions in which technology delivered over 50% of the content or enabled coordination were included.
Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency.
Objective This study aimed to evaluate the structural characteristics of mandibular alveolar bone in patients with Type 1 diabetes mellitus (T1DM), Type 2 diabetes mellitus (T2DM), and systemically healthy controls using panoramic radiography-based radiomic analysis combined with machine learning algorithms. Materials and methods A total of 225 panoramic radiographs (75 T1DM, 75 T2DM, 75 healthy controls) were retrospectively analyzed.
This peer-reviewed review published July 24, 2026 synthesized recent progress on machine learning models that integrate multimodal big data such as electronic health records, genomic and proteomic data to guide transfusion support for acute myeloid leukaemia, a highly heterogeneous malignancy where transfusion is essential.
Researchers developed and validated Random Forest and Gradient Boosting models to predict Hoehn and Yahr scores 5 years after 123I-ioflupane SPECT imaging, using harmonized data from 343 real-world patients and 134 PPMI patients with 83 overlapping features. Models using 2 years of clinical follow-up achieved the highest accuracy, driven by early H&Y scores, gait severity, and select imaging features.
A peer-reviewed discussion published February 2024 examines AI integration in education, arguing that personalized learning and support for diverse requirements including special needs students depends on developing AI literacy, prompt engineering proficiency, and critical thinking, while requiring educator training and curriculum adaptation.
On Dec 18, 2024, The Lancet Digital Health published the STANDING Together consensus recommendations, developed through a systematic review, stakeholder survey, Delphi process with 194 voters from 25 countries, public consultation, and international interviews involving over 350 representatives from 58 countries. The process produced 29 recommendations in two parts covering documentation of health datasets and use of health datasets.
ace