Latest news
140 articles · 20 / page
Evaluating Diagnocat AI: Accuracy in Detecting Periapical Radiolucencies on CBCT Scans of Molars
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
Harnessing AI in Surgical Education: Deep Language Learning Model-Based Simulation Enhances Undergraduate History-Taking Skills
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.
Enhancing Dental Diagnostics: The Role of AI Assistance in Detecting Periapical Radiolucencies
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 shift to
Harnessing Machine Learning to Predict High-Risk Coronary Artery Disease: Insights from the SCOT-HEART Trial
Machine learning models trained on clinical data improve prediction of coronary artery disease on CT scans compared to traditional risk scores, potentially guiding better resource utilization in cardiovascular care.
Harnessing AI: LLM-Based Conversational Agents Reduce Depression and Anxiety Among Young Adults in Short Video App Trial
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.
AI-Assisted Optical Diagnosis in Colonoscopy: Ensuring Safety While Reducing Unnecessary Polypectomies
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.
Deep Learning Prediction of Retinal Nerve Fiber Layer Thickness as a Novel Risk Biomarker for Glaucoma in Ocular Hypertension
A novel deep learning model predicted retinal nerve fiber layer thickness from optic disc photos, enabling risk stratification for primary open-angle glaucoma in ocular hypertension patients, with baseline and longitudinal changes strongly
Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs
Deep learning models predicting RNFL thickness from optic disc photographs can identify ocular hypertension patients at higher risk for primary open-angle glaucoma, enhancing early risk assessment and monitoring disease progression.
Smart-T Digital Intervention Enhances Smoking Cessation Among Low-Income Adults: Insights from a Randomized Clinical Trial
The Smart-T smartphone intervention significantly improves 7-day smoking abstinence at 26 weeks in low-income adults, outperforming the standard QuitGuide app when combined with nicotine replacement therapy.
スマートデジタル介入が低所得者成人の禁煙に効果的：ランダム化臨床試験からの洞察
スマートフォンを用いたスマートデジタル介入（Smart-T）は、低所得者成人において26週間の7日間禁煙率を有意に改善し、ニコチン置換療法と組み合わせた場合、標準的なQuitGuideアプリを上回ることが示されました。
AI Revolutionizing Pharma: From Drug Discovery to Clinical Application Through Intelligent Innovation
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.
Beyond Binary: Unveiling the Broad Cardiovascular Insights of AI-enhanced Electrocardiography
AI-enhanced ECG models, initially designed for specific cardiac diagnoses, reveal broader cardiovascular risk detection and prediction capabilities, challenging their use as condition-specific tools and supporting their role as comprehensiv
Navigating the Future: The Role of Artificial Intelligence in Enhancing Peer Review
AI holds promise to alleviate peer review challenges, improving efficiency and quality while preserving human oversight to ensure fairness and integrity in scientific publishing.
AI Foundation Model Revolutionizes Non-Invasive Diagnosis and Grading of Prostate Cancer
A multidisciplinary Chinese team has developed an AI-driven MRI-pathology foundation model that enables accurate, non-invasive diagnosis and grading of prostate cancer, significantly improving clinical decision-making and reducing unnecessa
Harnessing Mobile Technology for Early Heart Failure Detection: Insights from the ECHOS3 Registry in Primary Care
Mobile app-assisted screening in primary care settings identified new heart failure cases in one-third of at-risk patients, especially those with preserved ejection fraction, highlighting a promising route for early diagnosis.
Harnessing AI in Clinical Documentation: Evaluating Large Language Model-Generated Hospital Discharge Summaries
A study comparing large language model-generated versus physician-generated discharge summaries found comparable quality and safety, suggesting AI-assisted documentation could reduce clinical burden without compromising patient care.
Personalized Gait Retraining: A Promising Conservative Approach to Medial Knee Osteoarthritis
A randomized trial shows that personalized foot progression angle modifications significantly reduce medial knee pain and slow cartilage degeneration in medial compartment knee osteoarthritis.
Evaluating the Role of AI Tools in Pharmacy Students’ OSCE Performance and Anxiety: Insights from a Randomized Controlled Trial
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
Enhancing Depression Care in College Students: AI Chatbots with Social Cues Show Superior Effectiveness
A 16-week randomized trial demonstrates that AI chatbots with high-social-cue design significantly reduce depression and anxiety symptoms in college students compared to text-only chatbots, improving adherence, satisfaction, and therapeutic
AI Versus Family Physicians: Evaluating ChatGPT-4o’s Responses to Common Primary Care Queries
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
Browse by specialty
Open language-specific specialty feeds and department pages.