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.
A November 2025 scoping review in BMC Medical Education screened 3,238 records and included 310 publications on AI in undergraduate medical education from 2020 to April 2024, finding 52% of the included literature appeared in just eight months after the prior general review. Reported uses span autonomous tutoring, self-assessment, simulation-based learning, assessment generation and grading, clinical assessment, procedural skills evaluation, and predictive analytics in both basic and clinical courses.
In a study published March 28 2024, researchers examined generative AI tool adoption among software engineers using surveys of 100 engineers and validation with 183 engineers, developing and testing the Human-AI Collaboration and Adaptation Framework.
A peer-reviewed discussion published 5 November 2025 examines whether AI-generated deepfakes used to deceive an enemy during war comply with international humanitarian law. It notes commanders may seek tactical advantage by making opposing forces and civilian populations believe X when Y is true, including fabricated surrender or truce announcements.
A peer-reviewed study published November 10, 2025 tested LSTM and CNN models to classify classical music as AI-generated or human-composed using statistical pitch, velocity, and duration features extracted from MIDI files via beat-based segmentation. Trained on a dataset containing both types of compositions, the models were evaluated on primary and auxiliary test sets.
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