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Evaluating Digital Therapeutics for Midlife Women’s Menopausal Symptoms: A Synthesis of Recent Randomized Controlled Trials
This review synthesizes evidence on mobile digital therapeutics targeting vasomotor and behavioral health symptoms in menopausal and midlife women, highlighting efficacy, engagement, and implications for scalable symptom management.
Efficacy and Safety of ALM-003 Digital Therapeutic in Alcohol Dependence: A Multicenter Open-Label Randomized Controlled Trial
This review synthesizes evidence from a multicenter RCT showing ALM-003 digital therapeutic reduces heavy drinking days significantly in alcohol-dependent individuals at high risk, with an excellent safety profile.
Harnessing Digital Therapeutics to Improve Glycemic Control in Type 2 Diabetes: Insights from the BRIGHT Trial
The BRIGHT trial evaluates AspyreRx, a digital cognitive behavioral therapy, for enhancing glycemic control in type 2 diabetes patients with residual hyperglycemia on stable medical therapy, focusing on efficacy, safety, and real-world appl
Digital Therapeutics in Suicide Prevention: Evidence and Clinical Implications of a Smartphone-Based CBT Intervention
Smartphone-delivered cognitive-behavioral therapy (CBT) via a digital therapeutic app significantly reduces recurrent suicide attempts and sustains reduction in suicidal ideation among adults with prior suicide attempts.
Harnessing Digital Health Technologies in Obesity Management: Insights from a Comprehensive Systematic Review and Meta-Analysis of Randomized Controlled Trials
Digital health interventions show modest but clinically meaningful reductions in waist circumference for overweight and obese adults, highlighting their potential as adjuncts in obesity care despite limited effects on weight and behavior.
Advancing Breast Cancer Detection: AI Identifies Missed Interval Cancers on Mammograms
A recent study shows that an AI system can detect interval breast cancers missed by radiologists on mammograms, potentially improving early diagnosis and screening outcomes in women with dense breasts.
AI-Driven Quantitative CT Reveals Higher Relative Cardiovascular Risk from Coronary Plaque in Women: Insights from the CONFIRM2 Registry
AI-based quantitative CT analysis demonstrates that coronary plaque features, while more prevalent in men, confer a disproportionately higher relative risk of major adverse cardiovascular events in women, highlighting the need for sex-speci
Evaluating Electronic Nudges to Enhance Guideline-Directed Therapy in Chronic Kidney Disease: Insights from the NUDGE-CKD Trial
The NUDGE-CKD trial found that electronic letter-based nudges to patients with chronic kidney disease and their general practitioners did not significantly improve initiation of guideline-recommended medications over usual care.
Advancing Acute Coronary Syndrome Care: ECG-Based Machine Learning Enhances Risk Stratification
A prospective study shows that machine learning models trained on 12-lead ECG features outperform HEART score in predicting mortality among chest pain patients, improving risk-based care precision.
The AI Doctor Is Out? How California’s Ab 489 Could Limit AI Development in Healthcare
California’s AB 489 may reshape AI in healthcare, emphasizing authorized interactions and compliance for AI developers.
Oracle Health Launches AI-First, Voice-Enabled EHR to Enhance Clinician Experience and Compete with Epic
Oracle Health unveils a next-generation AI-powered, voice-first electronic health record (EHR) system designed from the ground up to improve clinical workflow and challenge Epic’s market dominance in the U.S. acute care sector.
10 Ways AI is Transforming Healthcare
Explore how AI is revolutionizing healthcare by enhancing diagnostics, predicting diseases, and supporting medical professionals in various capacities.
AI in Colonoscopy: Enhancing Detection or Eroding Physician Skills?
The integration of AI in colonoscopy improves adenoma detection but raises concerns about declining physician skills when AI support is withdrawn, highlighting a potential clinical ‘de-skilling’ effect.
Leveraging AI-Driven Care to Significantly Reduce Heart Failure Readmissions: The Linea Model
Linea integrates generative AI and high-touch virtual nursing to proactively manage heart failure patients, achieving a 50% reduction in hospital readmissions within 90 days, substantially lowering costs and improving patient outcomes.
Survey on Artificial Intelligence Adoption in the US Healthcare Sector: Trends, Challenges, and Future Directions
A comprehensive survey of 233 US healthcare systems reveals widespread AI deployment with key barriers including cost and resource limitations; highlights the critical role of CFOs and CIOs in AI decision-making and the growing influence of
Assessing an AI Chatbot for HIV Prevention in Malaysia: Insights and Usability
An observational study evaluates an AI chatbot’s usability in promoting HIV testing among men who have sex with men in Malaysia, showcasing potential improvements for public health interventions.
Revolutionizing Wound Healing Assessment: The Role of LC-OCT and AI
This study explores the integration of line-field confocal optical coherence tomography (LC-OCT) with artificial intelligence (AI) to enhance wound healing evaluations, providing deeper insights into clinical interventions.
When an AI ‘Suggestion’ Became Poison: A Case of Bromide Toxicity After ChatGPT Advised Replacing Table Salt
A 60-year-old man developed bromide toxicity after replacing dietary NaCl with NaBr based on ChatGPT guidance; the case highlights laboratory interference, diagnostic pitfalls, clinical management, and risks of decontextualized AI health ad
Smartphone CBT for Inpatient Suicide Risk: Promising Signal for Those With Prior Attempts, But Primary Outcome Missed
A multisite RCT of a 12‑module smartphone CBT intervention for psychiatric inpatients did not change time to first suicide attempt overall, but sustained reductions in suicidal ideation and reduced recurrent attempts among patients with pri
Harnessing Artificial Intelligence in Nursing Education: ChatGPT Training Significantly Enhances Problem-Solving and Competency
A single-blind RCT shows that integrating ChatGPT into nursing education significantly improves students’ problem-solving skills, AI attitudes, nursing process competency, and satisfaction compared to standard training.
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