Researchers evaluated ChatGPT, Gemini, and Copilot for explaining radiology reports to patients.
Key Details
- 1Study published in 'Insights Into Imaging' compared ChatGPT, Gemini, and Copilot.
- 2100 anonymized radiology reports were input into each LLM using a standard prompt.
- 3Outputs were rated on a 3-point scale for understandability, readability, and medical accuracy.
- 4Researchers also assessed each model's use of uncertainty language and quality of patient guidance.
- 5Aim was to determine which LLM most accurately and clearly conveyed imaging findings.
Why It Matters
As patients increasingly access their own imaging reports, reliable and accurate AI explanations can improve understanding while minimizing anxiety and confusion. Ensuring LLMs perform well in this setting could help bridge communication gaps between radiologists and patients.
Source
Radiology Business
Related News
•HealthExec
Mayo Clinic Sued Over Alleged AI Improprieties and Whistleblower Retaliation
A former Mayo Clinic research director sues the institution, alleging retaliation after raising concerns about improper AI use affecting patient safety and data integrity.
•Radiology Business
Framework Assesses Real-World Financial Impact of Radiology AI Adoption
A new analysis presents a financial calculator for objectively assessing the return on investment (ROI) of implementing radiology AI solutions.
•Radiology Business
AI Technique Unveils Previously Hidden MS Gray Matter Lesions on MRI
Researchers developed an AI-enhanced method to detect previously invisible gray matter lesions in multiple sclerosis using MRI.