Objective: To evaluate the clinical applications and limitations of chat generative pretrained transformer (ChatGPT) in otolaryngology.Study Design: Cross‐sectional survey.Setting: Tertiary academic center.Methods: ChatGPT 4.0 was queried for diagnoses and management plans for 20 physician‐written clinical vignettes in otolaryngology. Attending physicians were then asked to rate the difficulty of the clinical vignettes and agreement with the differential diagnoses and management plans of ChatGPT responses on a 5‐point Likert scale. Summary statistics were calculated. Univariate ordinal regression was then performed between vignette difficulty and quality of the diagnoses and management plans.Results: Eleven attending physicians completed the survey (61% response rate). Overall, vignettes were rated as very easy to neutral difficulty (range of median score: 1.00‐4.00; overall median 2.00). There was a high agreement with the differential diagnosis provided by ChatGPT (range of median score: 3.00‐5.00; overall median: 5.00). There was also high agreement with treatment plans (range of median score: 3.00‐5.00; overall median: 5.00). There was no association between vignette difficulty and agreement with differential diagnosis or treatment. Lower diagnosis scores had greater odds of having lower treatment scores.Conclusion: Generative artificial intelligence models like ChatGPT are being rapidly adopted in medicine. Performance with curated, easy‐to‐moderate difficulty otolaryngology scenarios indicate high agreement with physicians for diagnosis and management. However, a decreased quality in diagnosis is associated with decreased quality in management. Further research is necessary on ChatGPT's ability to handle unstructured clinical information.
Background and Aims Neuropathic pain is a common long-term consequence of cancer and its treatments. A European survey has been conducted to collect insights about the diagnosis and management of CRNP and the impact on patient´s lives. Methods From February to June 2021, an online survey was conducted in 13 European countries. Adult (18+) patients consenting to participate, diagnosed with cancer and experiencing neuropathic pain according to DN4 criteria and finishing the survey were included in the analyses. Survey questions were prepared together with patient representatives, clinical experts and nurses. Patients were recruited via consumer and patient online market research panels and via patient associations. Results 549 respondents with CRNP completed the survey, thereof 62% females vs 38% males and 63% below the age of 56 years. 39% of patients had breast cancer and the remaining a variety of other cancer types. 32% had not received a formal CRNP diagnosis, although 89% met 4 or more DN4 criteria. 32% of respondents reported severe pain on a daily basis. 61% responded that CRNP negatively impacts their day-to-day activities and 30% had to retire or stop working because of their CRNP. Provision of better treatments to help manage CRNP are key for 76% of patients. Conclusions The results of this survey demonstrate that CRNP has a significant impact on the patients´ daily lives. Actions need to be taken to better educate healthcare professionals about the diagnosis and treatment of CRNP and to support healthcare professional-patient communication to achieve better outcomes.