Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery.

Purpose: ChatGPT is a large language model trained on a large dataset covering a broad range of topics, including the medical literature. We aim to examine its accuracy and reproducibility in answering patient questions regarding bariatric surgery.

Materials And Methods: Questions were gathered from nationally regarded professional societies and health institutions as well as Facebook support groups.

Critical Care Response During the COVID-19 Pandemic.

Hospitals and health care systems with active critical care organizations (CCOs) that unified ICU units before the onset of the COVID-19 Pandemic were better positioned to adapt to the demands of the pandemic, due to their established standardization of care and integration of critical care within the larger structure of the hospital or health care system. CCOs should continue to make changes, based on the real experience of COVID-19 that would lead to improved care during the ongoing pandemic, and beyond.

Predictors of response after laparoscopic splenectomy for immune thrombocytopenic purpura.

Background: Splenectomy has been shown to produce long term remission in patients with immune thrombocytopenic purpura (ITP). With the development of laparoscopic splenectomy, there is renewed interest in the surgical treatment of ITP. The aim of this study was to identify factors that are predictive of outcome after laparoscopic splenectomy for ITP.

ECT in elderly patients with schizophrenia.

Five female patients with chronic schizophrenia and schizoaffective disorder received electroconvulsive therapy (ECT). Patients were 58 to 74 years old when ECT began. Three patients followed the acute course of ECT with a course of maintenance ECT.