Public articles linked to the same research event.
World journal of urology This retrospective study analyzed 1,754 labeled public cystoscopy images to test Direct, Book-based, and Optimized prompts across GPT-5.2, GPT-5, GPT-5-Mini, and GPT-5-Nano for benign-versus-malignant classification, finding that GPT-5 and GPT-5-Mini with the optimized prompt reached accuracies of 86.7% and 89.2%, and that GPT-5 with the optimized prompt achieved 98.1% accuracy, 94.6% specificity, and 99.1% sensitivity in high-confidence triage at 62.0% image coverage, while prompt engineering improved calibration and triage without statistically significant performance gains.
This retrospective study analyzed 1,754 labeled public cystoscopy images to test Direct, Book-based, and Optimized prompts across GPT-5.2, GPT-5, GPT-5-Mini, and GPT-5-Nano for benign-versus-malignant classification, finding that GPT-5 and GPT-5-Mini with the optimized prompt reached accuracies of 86.7% and 89.2%, and that GPT-5 with the optimized prompt achieved 98.1% accuracy, 94.6% specificity, and 99.1% sensitivity in high-confidence triage at 62.0% image coverage, while prompt engineering improved calibration and triage without statistically significant performance gains.
This retrospective study analyzed 1,754 labeled public cystoscopy images to test Direct, Book-based, and Optimized prompts across GPT-5.2, GPT-5, GPT-5-Mini, and GPT-5-Nano for benign-versus-malignant classification, finding that GPT-5 and GPT-5-Mini with the optimized prompt reached accuracies of 86.7% and 89.2%, and that GPT-5 with the optimized prompt achieved 98.1% accuracy, 94.6% specificity, and 99.1% sensitivity in high-confidence triage at 62.0% image coverage, while prompt engineering improved calibration and triage without statistically significant performance gains.
This retrospective study analyzed 1,754 labeled public cystoscopy images to test Direct, Book-based, and Optimized prompts across GPT-5.2, GPT-5, GPT-5-Mini, and GPT-5-Nano for benign-versus-malignant classification, finding that GPT-5 and GPT-5-Mini with the optimized prompt reached accuracies of 86.7% and 89.2%, and that GPT-5 with the optimized prompt achieved 98.1% accuracy, 94.6% specificity, and 99.1% sensitivity in high-confidence triage at 62.0% image coverage, while prompt engineering improved calibration and triage without statistically significant performance gains.