Harvard researchers presented an AI system that generates video radiology reports rated highly by radiologists for patient communication.
Key Details
- 1The ReXplain AI system creates patient-friendly video radiology reports using a large-language model, image segmentation, and conversational avatars.
- 2Tested with five radiologists and 10 CT video reports, the tool received 98-100% positive agreement on understandability and accuracy.
- 3Radiologists strongly agreed that image explanations and normal comparisons improved comprehension.
- 480% were comfortable providing videos to patients, with some hesitance for pre-visit distribution (60%).
- 5Feedback on 3D image rendering was mixed (50%).
- 6Further patient-centered studies are planned.
Why It Matters
Improving patient understanding of radiology results is a key unmet need; AI-generated multimedia reports could bridge the gap between medical reports and patient comprehension, helping radiology demonstrate direct value to patients.
Source
AuntMinnie
Related News
•Radiology Business
Patients Favor AI in Imaging Diagnostics, Hesitate on Triage Use
Survey finds most patients support AI in diagnostic imaging but are reluctant about its use in triage decisions.
•AuntMinnie
Deep Learning AI Outperforms Radiologists in Detecting ENE on CT
A deep learning tool, DeepENE, exceeded radiologist performance in identifying lymph node extranodal extension in head and neck cancers using preoperative CT scans.
•Radiology Business
FDA Clears Multi-Disease AI Screening Platform for CT Imaging
HeartLung Corporation's AI-CVD platform receives FDA clearance to detect multiple diseases from a single CT scan.