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Enhancing End-of-Life Mortality Prediction in Emergency Departments Using Collaborative AI Tools
Posted inAI Emergency Medicine news

Enhancing End-of-Life Mortality Prediction in Emergency Departments Using Collaborative AI Tools

Posted by By MedXY 07/02/2026
A study comparing physician-based surprise question, AI-driven GEST model, and a combined approach shows improved accuracy and efficiency in predicting 6-month mortality among older ED patients.
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Advancing Otologic Imaging: Machine Learning-Derived Synthetic CT from Temporal Bone MRI
Posted inAI news Otorhinolaryngology Radiology

Advancing Otologic Imaging: Machine Learning-Derived Synthetic CT from Temporal Bone MRI

Posted by By MedXY 06/25/2026
A machine learning algorithm can generate synthetic CT images from temporal bone MRI, enabling visualization of bone and soft tissue simultaneously without radiation, useful for otologic surgical planning and localization.
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Multicenter Validation Suggests MySurgeryRisk Can Accurately Predict Major Postoperative Complications and In-Hospital Mortality Across Diverse Hospitals
Posted inAI General Surgery news

Multicenter Validation Suggests MySurgeryRisk Can Accurately Predict Major Postoperative Complications and In-Hospital Mortality Across Diverse Hospitals

Posted by By MedXY 06/10/2026
In a 14-institution cohort of more than 508,000 operations, MySurgeryRisk maintained high discrimination for ICU admission, mechanical ventilation, acute kidney injury, and in-hospital mortality using routine electronic health record data.
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AI Model Shows Moderate Accuracy for Predicting Complete Response After Total Neoadjuvant Therapy in Locally Advanced Rectal Cancer
Posted inAI news Oncology

AI Model Shows Moderate Accuracy for Predicting Complete Response After Total Neoadjuvant Therapy in Locally Advanced Rectal Cancer

Posted by By MedXY 06/08/2026
A fine-tuned ensemble of tabular foundation models moderately predicted pathological complete response after TNT and showed potential to support watch-and-wait selection after recalibration.
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Computer-Aided Detection Increased Adenoma Detection in a Large Pragmatic Cluster Randomized Colonoscopy Study
Posted inAI Gastroenterology news

Computer-Aided Detection Increased Adenoma Detection in a Large Pragmatic Cluster Randomized Colonoscopy Study

Posted by By MedXY 06/07/2026
In a large Veterans Health Administration cluster randomized study, CADe availability increased adenoma detection during colonoscopy without changing withdrawal time or nonadenomatous lesion detection.
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Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study
Posted inAI news OB/GYN & Women’s Health

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study

Posted by By MedXY 06/06/2026
Unsupervised machine learning identified three distinct preeclampsia phenotypes linked to timing of delivery, placental dysfunction, fetal growth, and complications, suggesting a path toward more personalized risk assessment and management.
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Choosing a Stem Cell Donor: Why Age Matters More in Some Transplants Than Others
Posted inAI Hematology-Oncology news

Choosing a Stem Cell Donor: Why Age Matters More in Some Transplants Than Others

Posted by By MedXY 05/21/2026
A major 2026 study suggests donor age affects survival differently in haploidentical and matched unrelated stem cell transplants, offering a more practical framework for choosing the best donor.
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ChatGPT Assigned Different Traits to “Great Surgeons” by Race, Gender, and Sexual Orientation, Exposing Stereotypes Relevant to Academic Surgery
Posted inAI General Surgery news

ChatGPT Assigned Different Traits to “Great Surgeons” by Race, Gender, and Sexual Orientation, Exposing Stereotypes Relevant to Academic Surgery

Posted by By MedXY 05/13/2026
A qualitative study found that ChatGPT 3.5 described “great surgeons” differently by demographic identity, echoing stereotypes that may shape evaluations, leadership perceptions, and inclusion in surgery.
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AI-ECG Identified Left Ventricular Systolic Dysfunction in Kenya With High Sensitivity and Excellent Rule-Out Performance
Posted inAI Cardiology news

AI-ECG Identified Left Ventricular Systolic Dysfunction in Kenya With High Sensitivity and Excellent Rule-Out Performance

Posted by By MedXY 05/06/2026
In Kenyan outpatient clinics, an AI-enabled ECG algorithm showed strong discrimination for left ventricular systolic dysfunction, with 95.6% sensitivity and 99.1% negative predictive value against echocardiography.
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Ambient AI Scribes Reduced Emergency Department Documentation Time, but Early Adoption Was Limited and Highly Concentrated
Posted inAI Emergency Medicine news

Ambient AI Scribes Reduced Emergency Department Documentation Time, but Early Adoption Was Limited and Highly Concentrated

Posted by By MedXY 05/05/2026
In a real-world academic emergency department, ambient AI scribe use was uncommon and concentrated among a small group of physicians, but when used it was associated with shorter documentation and total EHR time.
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AI Radiomics Detects Visually Occult Pancreatic Cancer on CT Nearly 16 Months Before Diagnosis and Outperforms Radiologists
Posted inAI Gastroenterology news

AI Radiomics Detects Visually Occult Pancreatic Cancer on CT Nearly 16 Months Before Diagnosis and Outperforms Radiologists

Posted by By MedXY 05/04/2026
A multi-institutional AI model identified pre-diagnostic pancreatic cancer on routine CT with meaningful lead time, higher sensitivity than radiologists, longitudinal stability, and externally validated specificity in a low-prevalence setting.
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AI vs. Human Clinicians: Study Reveals Gaps in AI-Generated Clinical Notes
Posted inAI Family Medicine & Nutrition news

AI vs. Human Clinicians: Study Reveals Gaps in AI-Generated Clinical Notes

Posted by By MedXY 04/21/2026
A cross-sectional evaluation of AI-generated clinical notes found significant quality deficits compared to human-produced notes, particularly in thoroughness, organization, and usefulness.
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Adaptive AI Transforms Cardiovascular Event Adjudication: New Algorithm Achieves Near-Human Accuracy Across Multiple Endpoints
Posted inAI Cardiology news

Adaptive AI Transforms Cardiovascular Event Adjudication: New Algorithm Achieves Near-Human Accuracy Across Multiple Endpoints

Posted by By MedXY 04/05/2026
Researchers developed and validated ADAPT-CEC, an artificial intelligence algorithm that can adjudicate cardiovascular events across different trial definitions. A hybrid approach combining AI with selective human review achieved 95.6% accuracy and replicated major trial results.
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Beyond Immersion: Why Combining Action Observation with Virtual Reality is a Game-Changer for Post-Stroke Hand Recovery
Posted inAI Neurology news

Beyond Immersion: Why Combining Action Observation with Virtual Reality is a Game-Changer for Post-Stroke Hand Recovery

Posted by By MedXY 03/22/2026
A multicenter randomized controlled trial reveals that integrating action observation with virtual reality significantly improves paretic hand dexterity in stroke patients, with benefits persisting six months post-intervention, offering a superior multimodal approach to traditional neurorehabilitation.
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Precision Prediction of Incident Heart Failure: The Clinical Integration of AI-Enabled Electrocardiography
Posted inAI Cardiology Clinical Updates news

Precision Prediction of Incident Heart Failure: The Clinical Integration of AI-Enabled Electrocardiography

Posted by By MedXY 03/09/2026
This review evaluates the breakthrough ECG2HF model, a publicly available AI tool that outperforms standard clinical scores in predicting 10-year heart failure risk using 12-lead ECG waveforms.
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The Era of the ‘Virtual Biopsy’: Cross-Modal Imaging and the Noninvasive Identification of Skin Histology
Posted inAI Clinical Updates Dermatology news

The Era of the ‘Virtual Biopsy’: Cross-Modal Imaging and the Noninvasive Identification of Skin Histology

Posted by By MedXY 03/04/2026
This review evaluates a pivotal study demonstrating that cross-modal imaging identifies skin histologic features with over 96% accuracy, offering a safe and effective noninvasive alternative to traditional biopsy for clinical decision-making.
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Breaking the Hardware Barrier: How Domain-Shift AI Enables Vendor-Agnostic 3D OCT Macular Disease Detection
Posted inAI news Ophthalmology

Breaking the Hardware Barrier: How Domain-Shift AI Enables Vendor-Agnostic 3D OCT Macular Disease Detection

Posted by By MedXY 02/27/2026
A multicenter study in JAMA Ophthalmology introduces a deep learning model using domain-shift technology to accurately detect macular diseases across different OCT hardware vendors, achieving high negative predictive value and establishing a robust triage system for diverse clinical settings.
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AI-Supported Mammography Outperforms Standard Double Reading: Insights from the MASAI Trial
Posted inAI news Radiology

AI-Supported Mammography Outperforms Standard Double Reading: Insights from the MASAI Trial

Posted by By MedXY 02/25/2026
The MASAI trial demonstrates that AI-supported mammography screening achieves higher sensitivity and non-inferior interval cancer rates compared to standard double reading, while maintaining specificity and significantly reducing radiologist workload.
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AI-Enabled Stethoscopes in Primary Care: Why Implementation Science Matters More Than Algorithm Accuracy
Posted inAI Cardiology news

AI-Enabled Stethoscopes in Primary Care: Why Implementation Science Matters More Than Algorithm Accuracy

Posted by By MedXY 02/25/2026
The TRICORDER trial demonstrates that while AI stethoscopes are capable of detecting heart failure, atrial fibrillation, and valvular disease, their real-world implementation in UK primary care did not yield a statistically significant increase in new diagnoses over 12 months.
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Telesurgery Breaks the Distance Barrier: Landmark RCT Confirms Non-Inferiority to Local Robotic Urology
Posted inAI news Urology

Telesurgery Breaks the Distance Barrier: Landmark RCT Confirms Non-Inferiority to Local Robotic Urology

Posted by By MedXY 02/23/2026
A multicentre randomized controlled trial demonstrates that robotic telesurgery over distances up to 2800 km is non-inferior to local surgery for urological procedures, maintaining high success rates, low latency, and equivalent safety profiles.
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  • Decoding Pancreatic Islet Single-Cell Transcriptomic Diversity Across Type 2 Diabetes Subtypes
  • Impact of Elexacaftor/Tezacaftor/Ivacaftor Therapy on Glucose Metabolism in Youths with Cystic Fibrosis: Insights from Continuous Glucose Monitoring
  • Approach to the Patient: Theranostics as Precision Medicine for Neuroendocrine Tumors
  • Charcot Neuro-Osteoarthropathy in Diabetes: High Risk of Hospitalization, Amputation, and Mortality Revealed by Regional Cohort Study
  • Gestational Diabetes Mellitus: Insights from 25 Years of Research on Early Risk, Prevention, and Long-Term Outcomes
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