Elizabeth Krupinski,Renee Pekmezaris,Amirala S Pasha
Elizabeth Krupinski
Reinforcing Stereotypes in Health Care Through Artificial Intelligence-Generated Images: A Call for Regulation [0.03%]
通过人工智能生成的图像来强化医疗保健中的刻板印象：呼吁进行监管
Hannah van Kolfschooten,Astrid Pilottin
Hannah van Kolfschooten
Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams [0.03%]
前列腺癌收件箱消息的回顾性比较分析：封闭领域大型语言模型与临床团队的反应
Yuexing Hao,Jason Holmes,Jared Hobson et al.
Yuexing Hao et al.
Objective: To evaluate the effectiveness of RadOnc-generative pretrained transformer (GPT), a GPT-4 based large language model, in assisting with in-basket message response generation for prostate cancer treatment, with t...
Curtis P Langlotz,Johanna Kim,Nigam Shah et al.
Curtis P Langlotz et al.
Artificial intelligence (AI) and machine learning (ML) are driving innovation in biosciences and are already affecting key elements of medical scholarship and clinical care. Many schools of medicine are capitalizing on the promise of these ...
Color Fundus Photography and Deep Learning Applications in Alzheimer Disease [0.03%]
眼底成像和深度学习在阿尔茨海默病中的应用
Oana M Dumitrascu,Xin Li,Wenhui Zhu et al.
Oana M Dumitrascu et al.
Objective: To report the development and performance of 2 distinct deep learning models trained exclusively on retinal color fundus photographs to classify Alzheimer disease (AD). ...
Evaluating Large Language Model-Supported Instructions for Medication Use: First Steps Toward a Comprehensive Model [0.03%]
评估大型语言模型支持的用药指导：迈向全面模型的第一步
Zilma Silveira Nogueira Reis,Adriana Silvina Pagano,Isaias Jose Ramos de Oliveira et al.
Zilma Silveira Nogueira Reis et al.
Objective: To assess the support of large language models (LLMs) in generating clearer and more personalized medication instructions to enhance e-prescription. ...
Virtual Reality Videos for Symptom Management in Hospice and Palliative Care [0.03%]
临终护理与姑息治疗中的虚拟现实视频缓解症状研究
James R Deming,Kassie J Dunbar,Joshua F Lueck et al.
James R Deming et al.
Objective: To learn more about the effect of virtual reality videos on patients' symptoms near the end of life, including which are most effective, how long the effect lasts, and which patients benefit the most. ...
Automated Identification of Patients' Unmet Social Needs in Clinical Text Using Natural Language Processing [0.03%]
基于自然语言处理技术在临床文档中自动识别患者的社会需求
Sungrim Moon,Yuqi Wu,Jay B Doughty et al.
Sungrim Moon et al.
Objective: To develop natural language processing (NLP) solutions for identifying patients' unmet social needs to enable timely intervention. Patients and...
Deep Learning-Based Prediction Modeling of Major Adverse Cardiovascular Events After Liver Transplantation [0.03%]
基于深度学习的心脏移植后主要不良心血管事件的预测模型
Ahmed Abdelhameed,Harpreet Bhangu,Jingna Feng et al.
Ahmed Abdelhameed et al.
Objective: To validate deep learning models' ability to predict post-transplantation major adverse cardiovascular events (MACE) in patients undergoing liver transplantation (LT). ...
Allen O Eghrari
Allen O Eghrari