Background: Generative pre-trained transformer-4 (GPT-4) is a large language model (LLM) trained on a vast corpus of data, including the medical literature. Nutrition plays an important role in managing inflammatory bowel disease (IBD), with an unmet need for nutrition-related patient education resources. This study examines the accuracy, comprehensiveness, and reproducibility of responses by GPT-4 to patient nutrition questions related to IBD.
View Article and Find Full Text PDFTherap Adv Gastroenterol
January 2025
Background: Radiofrequency Ablation (RFA) and Microwave Ablation (MWA) are alternative treatments for colorectal liver metastasis (CRLM) patients that are unsuitable for resection. However, consensus is lacking regarding selection criteria, tumour characteristics, ablation technique delivery, and device settings. This study aims to summarise current evidence to inform future prospective studies.
View Article and Find Full Text PDFBackground: Drug overdose is an escalating public health crisis in the United States (U.S.).
View Article and Find Full Text PDFObjective: To develop a novel endoscopic system that reduces trauma to the patient and declutters the surgical field for the surgeon in minimally invasive heart valve surgery.
Methods: We designed and developed a retractor-camera combination for minimally invasive heart surgery; the cable and camera were connected to the underbelly of the left atrial retractor blade to provide an illuminated, wide-angle view of the mitral valve. We conducted ex vivo, in vivo, and, ultimately, a first-in-man randomized, nonanonymized clinical trial on 20 patients who required minimally invasive mitral valve surgery.
Most recent studies on the coronavirus disease 2019 (COVID-19) pandemic and cutaneous melanoma (CM) focused more on delayed diagnosis or advanced presentation. We aimed to ascertain mortality trends of CM between 2012 and 2022, focusing on the effects of the COVID-19 pandemic. In this serial population-based study, the National Vital Statistics System dataset was queried for mortality data.
View Article and Find Full Text PDFPurpose: 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.
Background/aims: Patients with cirrhosis and hepatocellular carcinoma (HCC) require extensive and personalized care to improve outcomes. ChatGPT (Generative Pre-trained Transformer), a large language model, holds the potential to provide professional yet patient-friendly support. We aimed to examine the accuracy and reproducibility of ChatGPT in answering questions regarding knowledge, management, and emotional support for cirrhosis and HCC.
View Article and Find Full Text PDFJ Eur Acad Dermatol Venereol
June 2023
Background: Little is known about mortality trends among patients with psoriasis (PsO) and psoriatic arthritis (PsA) in the United States.
Objectives: To ascertain mortality trends of PsO and PsA between 2010 and 2021, focusing on the effects of the COVID-19 pandemic.
Methods: We collected data from the National Vital Statistic System and calculated age-standardized mortality rates (ASMR) and cause-specific mortality for PsO/PsA.