ChatGPT (GPT-4) demonstrated high accuracy in identifying clinically significant breast pain symptoms that require imaging evaluation.
Key Details
- 1Research published in Clinical Imaging tested ChatGPT (GPT-4) on triaging breast pain.
- 2ChatGPT correctly classified the clinical significance in nearly 75% of cases overall.
- 3It accurately identified 89% of cases deemed by radiologists as needing further evaluation.
- 4This could allow non-physician staff to safely triage imaging referrals with nurse oversight.
- 5Automated triage addresses rising workload and prolonged wait times.
Why It Matters
Deploying advanced AI like ChatGPT in triage workflows could streamline imaging referral processes, reduce manual review burdens, and help radiology departments manage increasing patient volumes more efficiently.
Source
Radiology Business
Related News
•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
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
AI Projected to Reshape Radiologist Workload But Not Eliminate Jobs
Stanford researchers predict AI could reduce radiologist hours by up to 49% over the next five years, though workforce size is likely to remain stable due to rising imaging demand.