Generative pretrained transformer-4, an artificial intelligence text predictive model, has a high capability for passing novel written radiology exam questions

[1] Kelly BS(2022)Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE) Eur Radiol 32 7998-8007

[2] Judge C(2021)Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis npj Digit Med 4 65-135

[3] Bollard SM(2023)How does ChatGPT perform on the united states medical licensing examination? The implications of large language models for medical education and knowledge assessment JMIR Med Educ 9 e45312-38

[4] Clifford SM(2022)Can artificial intelligence pass the fellowship of the royal college of radiologists examination? Multi-reader diagnostic accuracy study BMJ 379 e072826-undefined

[5] Healy GM(2022)External validation of deep learning algorithms for radiologic diagnosis: a systematic review Radiol Artif Intell 4 e210064-undefined

[6] Aziz A(2023)GPT-4: a new era of artificial intelligence in medicine Ir J Med Sci 7 zrad032-undefined

[7] Mathur P(2023)The use of ChatGPT and other large language models in surgical science BJS open. 93 20190840-undefined

[8] Islam S(2020)Artificial intelligence in diagnostic imaging: Impact on the radiography profession Br J Radiol 89 128-undefined

[9] Yeom KW(2022)The patient-friendly radiology report: history, evolution, challenges and opportunities Clin Imaging 55 1-undefined

[10] Lawlor A(2023)Survey of hallucination in natural language generation ACM Comput Surv undefined undefined-undefined

[1] Kelly BS(2022)Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE) Eur Radiol 32 7998-8007

[2] Judge C(2021)Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis npj Digit Med 4 65-135

[3] Bollard SM(2023)How does ChatGPT perform on the united states medical licensing examination? The implications of large language models for medical education and knowledge assessment JMIR Med Educ 9 e45312-38

[4] Clifford SM(2022)Can artificial intelligence pass the fellowship of the royal college of radiologists examination? Multi-reader diagnostic accuracy study BMJ 379 e072826-undefined

[5] Healy GM(2022)External validation of deep learning algorithms for radiologic diagnosis: a systematic review Radiol Artif Intell 4 e210064-undefined

[6] Aziz A(2023)GPT-4: a new era of artificial intelligence in medicine Ir J Med Sci 7 zrad032-undefined

[7] Mathur P(2023)The use of ChatGPT and other large language models in surgical science BJS open. 93 20190840-undefined

[8] Islam S(2020)Artificial intelligence in diagnostic imaging: Impact on the radiography profession Br J Radiol 89 128-undefined

[9] Yeom KW(2022)The patient-friendly radiology report: history, evolution, challenges and opportunities Clin Imaging 55 1-undefined

[10] Lawlor A(2023)Survey of hallucination in natural language generation ACM Comput Surv undefined undefined-undefined