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Revolutionizing Myocardial Scar Detection: AI-Powered Contrast-Free MRI via Virtual Native Enhancement
Posted inAI Cardiology news

Revolutionizing Myocardial Scar Detection: AI-Powered Contrast-Free MRI via Virtual Native Enhancement

Posted by MedXY By MedXY 07/18/2026
A prospective multicenter study demonstrates that AI-driven virtual native enhancement (VNE) MRI can accurately detect and quantify myocardial scars without contrast agents, potentially reducing the need for gadolinium-based imaging in clinical cardiology.
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Harnessing Machine Learning to Predict Patient-Reported Outcomes After Breast Reconstruction: A Step Forward in Personalized Surgical Care
Posted inAI news Plastic Surgery

Harnessing Machine Learning to Predict Patient-Reported Outcomes After Breast Reconstruction: A Step Forward in Personalized Surgical Care

Posted by MedXY By MedXY 07/16/2026
Recent research demonstrates that machine learning algorithms can accurately predict patient-reported outcomes one year after breast reconstruction, potentially enhancing shared decision-making and individualized care planning.
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Artificial Intelligence Smart Eyeglasses for the Detection and Description of Stationary Objects: A Pilot Feasibility Study
Posted inAI news Ophthalmology

Artificial Intelligence Smart Eyeglasses for the Detection and Description of Stationary Objects: A Pilot Feasibility Study

Posted by MedXY By MedXY 07/15/2026
A pilot study evaluating Ray-Ban Meta AI eyeglasses demonstrated high accuracy in single object identification and moderate performance in descriptive tasks, suggesting promise for aiding individuals with low vision.
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A Consensus Reference Standard for AI Screening of Age-Related Macular Degeneration: What Clinicians and Developers Need to Know
Posted inAI news Ophthalmology

A Consensus Reference Standard for AI Screening of Age-Related Macular Degeneration: What Clinicians and Developers Need to Know

Posted by MedXY By MedXY 07/15/2026
A 2026 expert consensus defines an image-based reference standard to validate AI screening algorithms for age-related macular degeneration (AMD), endorsing Beckman grading and routine OCT use while clarifying referral thresholds and areas of uncertainty.
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MAIPI: A Novel AI-Powered Prognostic Index for Mantle Cell Lymphoma Using Routine Histology
Posted inAI Hematology-Oncology news

MAIPI: A Novel AI-Powered Prognostic Index for Mantle Cell Lymphoma Using Routine Histology

Posted by MedXY By MedXY 07/12/2026
The MAIPI deep learning model offers a novel, accurate prognosis tool for mantle cell lymphoma, using standard H&E stained biopsy images, bypassing need for molecular tests or expert pathology, and enhancing risk stratification for individualized therapy.
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Revolutionizing Mechanical Ventilation: AI-Driven Real-Time Monitoring of Inspiratory Effort and Patient-Ventilator Synchrony
Posted inAI Critical Care news

Revolutionizing Mechanical Ventilation: AI-Driven Real-Time Monitoring of Inspiratory Effort and Patient-Ventilator Synchrony

Posted by MedXY By MedXY 07/09/2026
A novel artificial intelligence algorithm enables continuous, noninvasive monitoring of inspiratory muscle effort and patient-ventilator dyssynchrony during mechanical ventilation, demonstrating accuracy comparable to invasive gold standards and intermittent occlusion techniques.
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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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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 MedXY 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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  • Correlation Between Physicians’ Clinical Knowledge and Reduction of Low-Value Services in Older Adults
  • ACP Calls for Overhaul of U.S. Dietary Supplement Rules: Key Recommendations from the 2026 Position Paper
  • Measurable Residual Disease as a Prognostic Biomarker in Frontline Azacitidine and Venetoclax-Treated AML: Insights from the French VENAURA Registry
  • Blinatumomab Consolidation in High-Risk Ph-Negative B-Cell Acute Lymphoblastic Leukemia: Insights from the GRAALL-2014/B-QUEST Study
  • Real-world Effectiveness of Adjuvanted RSVPreF3 Vaccine in Preventing RSV-Related Hospitalization Among US Adults Aged ≥60 Years: A Comprehensive Review
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