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Radiology & Imaging

260 published articles · Updated continuously

HCP Mode — summaries include clinical detail, trial data, and statistical outcomes.
Patient Mode — summaries use plain language, avoiding clinical jargon.
Low student satisfaction with obstetrics and gynaecology teaching and assessment methods in medical education
Radiology & Imaging Sys. Review
Low student satisfaction with obstetrics and gynaecology teaching and assessment methods in medical education Medical students report low satisfaction with obstetrics and gynecology training
This cross-sectional study evaluated student perceptions of teaching and assessment methods in an obstetrics and gynaecology programme. Resu…
Less than half of medical students feel satisfied with the teaching methods and clear goals in their obstetrics and gynecology training.
AI-based teaching improves knowledge, skills, and satisfaction scores among medical students compared to traditional methods
Radiology & Imaging Meta-analysis
AI-based teaching improves knowledge, skills, and satisfaction scores among medical students compared to traditional methods AI tools improve knowledge and skills for medical students
This meta-analysis of randomized controlled trials evaluated AI-based teaching versus traditional methods for medical students. The analysis…
Medical students using AI tools showed higher knowledge scores and better skill development compared to those in traditional classrooms.
AI models demonstrate high diagnostic accuracy for detecting free flap vascular compromise
Radiology & Imaging Meta-analysis
AI models demonstrate high diagnostic accuracy for detecting free flap vascular compromise AI Tools Show Promise in Detecting Free Flap Vascular Compromise
This meta-analysis of 18 studies evaluated AI-based monitoring tools for detecting vascular compromise in free flaps. The analysis found hig…
New research shows that AI tools can accurately detect blood flow issues in free flaps, especially when using image-based monitoring systems…
Machine learning models achieve 0.90 AUC for predicting hypoglycemia in patients with diabetes
Radiology & Imaging Meta-analysis
Machine learning models achieve 0.90 AUC for predicting hypoglycemia in patients with diabetes Machine learning models help predict low blood sugar in diabetes
This meta-analysis evaluates the performance of machine learning models for predicting hypoglycemia in Chinese patients with diabetes. The a…
New data shows machine learning models can accurately predict low blood sugar, helping people with diabetes manage their insulin more safely…
Ultrasound-guided venous puncture reduces composite access site complications to 0.6% in atrial fibrillation ablation
Radiology & Imaging RCT
Ultrasound-guided venous puncture reduces composite access site complications to 0.6% in atrial fibrillation ablation Ultrasound guidance reduces serious complications during heart procedure access
This multicentre randomized controlled trial of 986 patients undergoing atrial fibrillation or left atrial tachycardia catheter ablation fou…
Using ultrasound to guide vein access during heart procedures significantly lowers the risk of bleeding and other serious complications.
Deep Learning Models Show Promise for Detecting Cerebral Microbleeds on MRI
Radiology & Imaging Meta-analysis
Deep Learning Models Show Promise for Detecting Cerebral Microbleeds on MRI Deep Learning Shows Promise for Spotting Brain Microbleeds
A meta-analysis of five patient-level studies finds deep learning models can detect cerebral microbleeds on MRI with strong diagnostic accur…
A new meta-analysis suggests deep learning can help detect tiny brain bleeds on MRI, but the evidence is still early.
Outcome feedback and AI explanations may improve human-AI synergy in collaborative tasks
Radiology & Imaging Meta-analysis
Outcome feedback and AI explanations may improve human-AI synergy in collaborative tasks Feedback and explanations can improve how humans work with AI
This meta-analysis of 74 studies examines how outcome feedback and AI explanations influence human-AI synergy. The authors find that outcome…
New research suggests that giving humans specific feedback and explanations can improve the way people and AI work together as a team.
Diagnostic Accuracy of Ultrasound Compared to MRI for Rotator Cuff Tears
Radiology & Imaging Meta-analysis
Diagnostic Accuracy of Ultrasound Compared to MRI for Rotator Cuff Tears Ultrasound shows high accuracy for detecting full-thickness rotator cuff tears
Ultrasound demonstrates high accuracy for identifying full-thickness rotator cuff tears, providing a viable first-line diagnostic tool for c…
Ultrasound is proving to be a highly accurate tool for identifying full-thickness rotator cuff tears, offering a practical first step in dia…
AI models demonstrate high diagnostic accuracy for trigeminal nerve segmentation and neurovascular conflict detection
Radiology & Imaging Meta-analysis
AI models demonstrate high diagnostic accuracy for trigeminal nerve segmentation and neurovascular conflict detection AI Models Show Promise in Detecting Trigeminal Nerve Conflicts
This meta-analysis of 577 patients evaluates the performance of deep learning and machine learning models in identifying trigeminal nerve fe…
New analysis shows artificial intelligence can accurately identify nerve issues in MRI scans, potentially helping doctors better plan treatm…
Dolphin bimodal LLM improves emotion recognition and patient satisfaction in education compared to text-only LLM
Radiology & Imaging RCT
Dolphin bimodal LLM improves emotion recognition and patient satisfaction in education compared to text-only LLM Trial shows Dolphin AI improves patient education and satisfaction
This randomized trial of 555 patients across three centers found that the Dolphin bimodal LLM outperformed a text-based LLM in emotion recog…
A new AI model using both text and audio cues improved patient satisfaction and communication during medical education sessions.
AI-based screening tools demonstrate high sensitivity and specificity for obstructive sleep apnea detection
Radiology & Imaging Meta-analysis
AI-based screening tools demonstrate high sensitivity and specificity for obstructive sleep apnea detection AI tools show promise for screening obstructive sleep apnea
This meta-analysis of 60 studies evaluated the diagnostic accuracy of AI-based screening tools for obstructive sleep apnea. The analysis fou…
New data shows AI tools can accurately identify obstructive sleep apnea, helping doctors find patients who need treatment more effectively.
AI-assisted colonoscopy modestly boosts diminutive polyp detection but not larger polyps
Radiology & Imaging Sys. Review
AI-assisted colonoscopy modestly boosts diminutive polyp detection but not larger polyps AI tools may help find tiny polyps during colonoscopies
This network meta-analysis of 8 AI systems and 4156 adults found a modest advantage for AI-assisted colonoscopy in detecting diminutive poly…
New data suggests AI tools can help doctors find tiny polyps, though the impact on larger growths remains minimal.

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