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Use of ChatGPT to Generate Informed Consent for Surgery in Urogynecology.
Urogynecology (Phila)
January 2025
From the Division of Urogynecology, Walter Reed National Military Medical Center, Bethesda, MD.
Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.
Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.
Prevalence of "weak B" phenotypes and their evaluation and differentiation in healthy blood donor population in Eastern India.
Asian J Transfus Sci
November 2023
Department of Transfusion Medicine, Apollo Multispeciality Hospitals, Kolkata, West Bengal, India.
Background: Examples of group B red cells that react weakly or not at all with anti-B have been described. Subgroups of B such as B, B, B, and B are rare and are less frequently reported. We studied the frequency of subgroups of B in our healthy blood donor population and serologically characterized and differentiated these subgroups.
View Article and Find Full Text PDFEffectiveness of donor notification and counseling of HIV-reactive donors in a tertiary care hospital from North India: An audit.
Asian J Transfus Sci
March 2023
Department of Pathology, UCMS and GTB Hospital, Delhi, India.
Introduction: Blood banks are responsible for notification and counseling of the reactive donors besides screening for transfusion-transmitted infections (TTIs). Donor notification and counseling is essential to protect the health of the donor by early clinical intervention and to prevent secondary transmission of infection.
Aim: The aim of this study was to determine the effectiveness of human immunodeficiency virus (HIV)-reactive donor notification and counseling in a tertiary care center.
Introduction: Simulation has become an integral part of healthcare education. Studies demonstrate rapid knowledge and skill acquisition with the use of simulation and rapid knowledge degradation if it is not further reinforced. Effect of simulation on metacognitive processes, or the ability to understand one's own knowledge, is not well-investigated yet.
View Article and Find Full Text PDFDeep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.
PLoS One
January 2025
Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who received wrong diagnosis and low-quality treatment die early. Though if it is detected in the early stages the patient has fairly good chance and the aforementioned diseases can be cured.
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