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Current applications and challenges in large language models for patient care: a systematic review.
Commun Med (Lond)
January 2025
School of Medicine and Health, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany.
Background: The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a significant gap in systematized information on their use in patient care. Therefore, this systematic review aims to synthesize current applications and limitations of LLMs in patient care.
View Article and Find Full Text PDFInsights from social media into public perspectives on investigative genetic genealogy.
Front Genet
January 2025
Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, TX, United States.
Social media sites like X (formerly Twitter) increasingly serve as spaces for the public to discuss controversial topics. Social media can spark extreme viewpoints and spread biased or inaccurate information while simultaneously allowing for debate around policy-relevant topics. The arrest of Joseph J.
View Article and Find Full Text PDFUse 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.
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques.
Neuroinformatics
January 2025
Department of CSE, Chandigarh Group of Colleges, Landran, Mohali, India.
The problem at hand is the significant global health challenge posed by children's diseases, where timely and accurate diagnosis is crucial for effective treatment and management. Conventional diagnosis techniques are typical, use tedious processes and generate inaccurate results since they are executed by human beings and cause delays in treatment that can be fatal. Considering these and other shortcomings there exists a need to have more efficient and accurate solutions based on artificial intelligence.
View Article and Find Full Text PDFIs there a role for neoadjuvant therapies followed by radical cystectomy in oligometastatic bladder cancer?
Curr Opin Urol
January 2025
Department of Urology, Comprehensive Cancer Center Medical University Vienna, Vienna General Hospital, Vienna, Austria.
Purpose Of Review: This review explores the potential role of neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC) for oligometastatic bladder cancer (OMBC) treatment. We focused on extrapolating evidence from studies including lymph node-positive only and metastatic bladder cancer to address the key challenges and therapeutic strategies for OMBC.
Recent Findings: Current evidence for NAC and RC in OMBC is limited, with most data derived from studies in locally advanced bladder cancer.
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