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A 28-day RCT demonstrates that a conversational AI trained on a large language model effectively reduces mild depression and anxiety symptoms in young adults through dialog interventions integrated in short video apps.
A randomized trial demonstrates that leaving small non-neoplastic colorectal polyps in situ with AI-assisted optical diagnosis is as safe and effective as systematic removal, supporting less invasive colonoscopy strategies.
A pioneering AI collaborates as a co-scientist to unravel a decade-old bacterial gene transfer mystery, signaling a transformative era where artificial intelligence becomes a creative partner in scientific discovery.
Artificial intelligence is dramatically transforming pharmaceutical R&D by accelerating drug discovery, formulation, and clinical trials, while presenting new opportunities and challenges for the industry, especially in China.
AI holds promise to alleviate peer review challenges, improving efficiency and quality while preserving human oversight to ensure fairness and integrity in scientific publishing.
A randomized trial assessing AI-generated study materials revealed no significant impact on pharmacy students’ objective structured clinical examination scores or test anxiety levels, highlighting the need for further research on long-term
This study compares ChatGPT-4o and family physicians in answering 200 common primary care questions, revealing AI’s superior performance in appropriateness, accuracy, comprehensiveness, and empathy, highlighting its potential in enhancing p
Recent studies reveal that human reviewers struggle to differentiate AI-generated medical documents from human-authored texts, with AI often producing higher-quality personal statements that influence evaluation outcomes.
ArteraAI Prostate, the first FDA-approved AI-driven multimodal software, offers personalized clinical decision support for localized prostate cancer, improving treatment precision and reducing overtreatment risks.
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.
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.
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.
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.
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
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.
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.
A proof-of-concept study demonstrates that AI-based image recognition, using the ResNet-18 algorithm, can accurately identify clinically important Aspergillus species, offering a rapid, cost-effective alternative to traditional methods.
An AI-based model for assessing ankylosing spondylitis severity using spinal X-rays and mSASSS demonstrates high accuracy, offering clinicians a rapid, reliable tool and reducing human resource demands.
AI-CAC enables automated, accurate coronary artery calcium scoring from routine chest CTs, offering scalable, opportunistic cardiovascular risk stratification across diverse populations.
AI analysis of smile videos demonstrates high accuracy in detecting Parkinson’s disease, offering a scalable and accessible screening solution with strong generalizability across populations.
