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Digital Psychological Intervention Reduces Distress and Improves Quality of Life in Inflammatory Rheumatic Diseases: Results from a Pilot RCT
A 102-participant pilot RCT in Germany found that a self-guided digital psychological intervention produced clinically meaningful reductions in psychological distress and modest improvements in quality of life at 3 months in people with inf
Automated Real‑Time Deterioration Alerts Cut In‑Hospital Cardiac Arrests — What Clinicians Need to Know
A systematic review and meta-analysis finds that real‑time automated clinical deterioration alert systems reduce in‑hospital cardiac arrests and may shorten ICU stay, but mortality benefits are uncertain and higher‑quality trials are needed
Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms: A Multinational Cohort Review
This review evaluates AI algorithms predicting heart failure risk from noisy single-lead ECGs, synthesizing evidence from large multinational cohorts, highlighting improved risk stratification with AI-ECG models beyond traditional clinical
AI-Enhanced ECG Predicts Future Regurgitant Valvular Disease: Large International Study Shows Promise for Earlier Detection and Targeted Echocardiography
An international study developed AI-ECG models that diagnose and predict future moderate–severe mitral, tricuspid, and aortic regurgitation, validated across distinct populations and linked to subclinical chamber remodelling.
Deep learning classifies focus score and Sjögren’s disease from minor salivary gland biopsies and highlights a CD8+ acinar pattern
A multicentre deep‑learning model reliably classified biopsy focus score and ACR‑EULAR–defined Sjögren’s disease (AUROC ≈0.88–0.89) and identified a novel CD8+ T‑cell peri‑acinar pattern associated with disease; prospective validation is ne
Foundation Models Narrow the Knowledge Gap in Ophthalmology but Struggle with Images
Contemporary foundation models match experts on text-only ophthalmology exam questions but underperform on image-based items; targeted multimodal training and prospective validation are needed before clinical deployment.
Therapist-Guided e‑Health Cuts Fear of Cancer Recurrence in Colorectal Survivors: A Randomized Trial Shows Clinically Meaningful Benefits
A Danish RCT of TG‑iConquerFear, a 10‑week therapist‑guided online program for colorectal cancer survivors with clinical fear of cancer recurrence (FCR), reduced FCR scores substantially compared with augmented self‑help at 3 months; the be
Deep Learning in Otolaryngology: Promises, Performance, and Pathways to Clinical Use
This critical synthesis of a 2020–2025 narrative review (327 DL studies) evaluates deep learning (DL) applications across diagnosis, prognosis, segmentation, and emerging intraoperative uses in otolaryngology and outlines practical steps fo
AI-Augmented Screening Triples Detection Yield of Transthyretin Cardiac Amyloidosis in a Multisite Real-World Trial
An AI-driven screening program (ATTRACTnet) applied to ECG, echocardiography, demographics and orthopedic history substantially increased case detection of transthyretin cardiac amyloidosis (ATTR‑CM) and led to rapid treatment initiation in
Stepped Care Plus Cash Incentives Cuts 3‑Year Diabetes Incidence in Multiethnic Asian Prediabetes Cohort
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
Does AI Make Endoscopists Lazy? New Multicentre Data Show Reduced Adenoma Detection After AI Exposure
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
Wearable Monitoring Shows Sustained Increases in Daily Activity After Total Knee Arthroplasty, with a 6‑Month Recovery Window
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.
How Eli Lilly and NVIDIA’s AI Supercomputer is Revolutionizing Drug Discovery
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: Translating Artificial Intelligence into Reliable Response Assessment for Pediatric Neuro-Oncology
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
Digital‑Twin Decision Aid for Knee Osteoarthritis Improves Decision Quality and 6‑Month Function: Randomized Trial Results
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
Evaluating AI-Led vs Human-Led Lifestyle Interventions in Prediabetes: Evidence from a Randomized Clinical Trial of the Diabetes Prevention Program
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
Harnessing Cancer-Testis Antigens for Precision Immunotherapy in Head and Neck Cancer
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.
Harnessing Wearable Technology to Boost Cardiac Rehabilitation Adherence in CHD Patients: Insights from a Randomized Trial
This study evaluates how smartwatch-assisted home-based cardiac rehab improves exercise adherence and health outcomes in coronary heart disease patients.
Revolutionizing Cardiac Rehab: The Impact of Wearable Technology and Online Coaching
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.
Artificial Intelligence in Imaging-Based Extranodal Extension Detection: Advancing Prognostication in HPV-Positive Oropharyngeal Cancer
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
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