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An mHealth text messaging intervention significantly improves smoking cessation rates and reduces mortality among TB patients compared to usual care, supporting its implementation in TB programs.
A comprehensive meta-analysis indicates that rule-based chatbots provide a modest but statistically significant reduction in depressive symptoms within a 4-8 week window, whereas evidence for the clinical efficacy of Large Language Model (L
This article explores a landmark mixed-methods study establishing a digital biomarker ontology for the early detection of Cytokine Release Syndrome (CRS). By identifying core physiological markers, researchers aim to transform immunotherapy
Recent robust randomized trials demonstrate that smartphone-delivered digital cognitive behavioral therapy provides significant, sustained improvements in generalized anxiety disorder, overcoming key access barriers and highlighting its pot
A large-scale prospective study across England’s NHS reveals that AI imaging software significantly boosts endovascular thrombectomy rates for acute stroke patients. Implementation was associated with a 100% relative increase in treat
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
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
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
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.
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
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.
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
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
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
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
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