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The Pre-DICTED randomized trial found a stepped-care diabetes prevention program augmented with financial incentives reduced 3‑year diabetes conversion (34.8% vs 47.3%; adjusted RR 0.74), with metformin added for persistent high-risk partic
A multicentre observational study reports a 6% absolute fall in adenoma detection rate for non‑AI colonoscopies after clinicians were exposed to AI-assisted polyp detection—raising concerns about endoscopist deskilling and the need for safe
A prospective cohort using Apple Watch data demonstrated meaningful increases in step count, standing time and gait speed after unilateral total knee arthroplasty, peaking at 6 months and persisting at 12 months.
Eli Lilly and NVIDIA have partnered to launch the largest AI-powered supercomputing platform in pharma, aiming to accelerate drug discovery, personalize medicine, and enhance manufacturing through unprecedented computational power.
AI-RAPNO synthesizes current AI developments for pediatric brain tumour imaging and provides practical recommendations to improve trustworthiness, generalisability, and clinical implementation of AI-driven response assessment using the RAPN
An AI-enabled decision aid that generated patient-specific digital twins improved decision quality, reduced decisional conflict and regret, and produced better 6–9 month knee function versus education alone in patients considering total kne
This review examines the first phase 3 randomized trial demonstrating that an AI-powered Diabetes Prevention Program lifestyle intervention is noninferior to human coaching in improving weight loss, HbA1c, and physical activity among adults
This study identifies specific cancer-testis antigens (CTAs) as promising targets for personalized immunotherapy in head and neck squamous cell carcinoma (HNSCC), validated across multiomic datasets to enhance therapeutic precision.
This study evaluates how smartwatch-assisted home-based cardiac rehab improves exercise adherence and health outcomes in coronary heart disease patients.
This review discusses a landmark study demonstrating how wearable devices and online coaching improve exercise capacity in coronary artery disease patients, highlighting advancements in remote cardiac rehabilitation.
An AI-driven model accurately detects imaging-based extranodal extension in HPV-positive oropharyngeal cancer from CT scans, improving outcome prediction beyond expert radiologist assessments and identifying patients at higher risk of poore
This study developed and validated machine learning models with high accuracy to predict early pediatric sepsis and septic shock within 48 hours using multisite electronic health record data in emergency departments.
This retrospective national cohort study reveals that Medicare Advantage (MA) enrollees undergoing major cancer surgery are less likely to receive care at high-quality hospitals compared to traditional Medicare beneficiaries, raising concer
This study demonstrates that an AI algorithm provides more reproducible and prognostically relevant assessment of tumor-infiltrating lymphocytes in melanoma compared to traditional pathologist methods, offering a promising tool to improve c
AI-detected tumor-infiltrating lymphocytes on routine histology independently predict response and survival in advanced melanoma treated with anti-PD-1 therapies, outperforming manual scoring and offering an accessible biomarker for immune
デジタルヘルスプログラムは、高リスク個体の肺がんスクリーニング率を大幅に向上させ、予防医療の改善にデジタルツールの潜在力を示しています。
A digital health program significantly increased lung cancer screening rates among high-risk individuals, underscoring digital tools’ potential to improve preventive care.
Artificial intelligence is reshaping health care, offering vast potential benefits alongside significant challenges. The JAMA Summit emphasizes the need for robust evaluation, equitable deployment, and multi-stakeholder collaboration to ens
AI demonstrates high accuracy in identifying mpox and other anogenital conditions from clinical images, yet significant research gaps and validation needs remain before clinical adoption.
A cross-sectional study identifies four distinct profiles of nonverbal learning disability (NVLD) in children, revealing significant heterogeneity in visual-spatial deficits, academic skills, and psychiatric diagnoses, highlighting implicat
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