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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
Advancing Early Pediatric Sepsis Detection: Machine Learning Models Predicting Onset Within 48 Hours
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.
Medicare Advantage and Cancer Surgery Outcomes: Are Patients Being Routed Away from High-Quality Hospitals?
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
Enhancing Melanoma Prognosis: AI-Driven Quantification of Tumor-Infiltrating Lymphocytes Outperforms Traditional Pathology
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
Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes as a Biomarker in Anti-PD-1-Based Therapy for Advanced Melanoma: Clinical Evidence and Translational Perspectives
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
Enhancing Lung Cancer Screening Uptake Through a Direct-to-Patient Digital Health Intervention: Insights from a Randomized Clinical Trial
A digital health program significantly increased lung cancer screening rates among high-risk individuals, underscoring digital tools’ potential to improve preventive care.
患者向けデジタルヘルス介入による肺がんスクリーニング受診率の向上：ランダム化比較試験からの洞察
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。
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