Assessing ChatGPT's Proficiency in Simplifying Radiological Reports for Healthcare Professionals and Patients.

Background Clear communication of radiological findings is crucial for effective healthcare decision-making. However, radiological reports are often complex with technical terminology, making them challenging for non-radiology healthcare professionals and patients to comprehend. Large language models like ChatGPT (Chat Generative Pre-trained Transformer, by OpenAI, San Francisco, CA) offer a potential solution by translating intricate reports into simplified language. This study aimed to assess the capability of ChatGPT-3.5 in simplifying radiological reports to facilitate improved understanding by healthcare professionals and patients. Materials and methods Nine radiological reports were taken for this study spanning various imaging modalities and medical conditions. These reports were used to ask ChatGPT a set of seven questions (describe the procedure, mention the key findings, express in a simple language, suggestions for further investigation, need of further investigation, grammatical or typing errors, and translation into Hindi). A total of eight radiologists rated the generated content in detailing, summarizing, simplifying content and language, factual correctness, further investigation, grammatical errors, and translation to Hindi. Results The highest score was obtained for detailing the report (94.17% accuracy) and the lowest score was for drawing conclusions for the patient (85% accuracy); case-wise scores were similar (p-value = 0.97). The Hindi translation by ChatGPT was not suitable for patient communication. Conclusion The current free version of ChatGPT-3.5 was able to simplify radiological reports effectively, removing technical jargon while preserving essential diagnostic information. The free version adeptly simplifies radiological reports, enhancing accessibility for healthcare professionals and patients. Hence, it has the potential to enhance medical communication, facilitating informed decision-making by healthcare professionals and patients.

Combined Left Recurrent Laryngeal Nerve and Phrenic Nerve Palsy: A Rare Presentation of Thoracic Aortic Aneurysm.

Hoarseness of voice due to Vocal Cord Palsy (VCP) resulting from aortic aneurysm is a rare entity. Hoarseness due to left Recurrent Laryngeal Nerve (RLN) paralysis caused by identifiable cardiovascular disease has been described as Ortner's syndrome or Cardiovocal syndrome. Very rarely, thoracic aortic aneurysm can cause Phrenic Nerve (PN) palsy causing hemidiaphragm paralysis. But, aortic aneurysm causing both RLN and PN palsy is an extremely rare occasion. Our literature review showed only three cases of combined RLN and PN palsy due to thoracic aortic aneurysm. Here we report a 70-year-old patient having hoarseness of voice for six years for which he was on symptomatic treatment. He presented to us with cough and blood tinged sputum, left sided chest pain, loss of appetite and weakness since two months duration. Based on clinical history and chest radiograph, lung malignancy was suspected. To our surprise, Contrast Enhanced Computed Tomography (CECT) revealed partially thrombosed saccular thoracic aneurysm originating distal to origin of left subclavian artery. He was referred to the cardiothoracic vascular surgeon for surgical treatment, but was reluctant to go for surgery. He is now being followed up by cardiothoracic vascular surgery and cardiology department and his condition has remained the same.