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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 cohort study developed and externally validated artificial neural networks that stratify older adults with locoregionally advanced head and neck squamous cell carcinoma (HNSCC) treated with definitive chemoradiation. Models
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
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
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.
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
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 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
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 recent survey reveals that Australian dermatologists are cautiously integrating AI into practice, prioritizing accuracy and trust for diagnostic use, with optimism about AI enhancing patient access and reducing workload but concerns about
AIRE-CHB, a novel AI-enhanced ECG model, significantly improves prediction of incident complete heart block, outperforming traditional bifascicular block assessment and offering promising clinical utility in risk stratification and manageme
A multicenter trial demonstrated that integrating AI-based computer-aided detection with water exchange colonoscopy significantly increases adenomas per colonoscopy without prolonging procedure time or increasing non-neoplastic lesion detec
An RCT evaluated an AI-assisted framework for electrodiagnostic report interpretation, finding no significant improvement over standard physician reporting but highlighting potential workflow benefits for routine cases.
The AID-ME trial demonstrates that an AI-powered clinical decision support system significantly improves remission rates and accelerates symptom improvement in moderate to severe major depressive disorder.
A study assessing the AI-based platform Diagnocat reveals high sensitivity but moderate specificity in detecting periapical radiolucencies on CBCT scans of non-root-filled molars, with decreased accuracy post-root treatment, underscoring th
A randomized controlled trial demonstrates that integrating deep language learning model (DLM) simulations into surgical training significantly improves history-taking skills and communication confidence among senior medical students.
A randomized controlled trial demonstrates that AI assistance moderately improves dentists’ accuracy in diagnosing periapical radiolucencies, mainly by reducing false positives, with significant benefits for junior clinicians and a sh
This randomized trial shows that using a deep language learning model as a simulated patient significantly improves surgical history-taking skills and student confidence in senior medical students during clinical rotations.
