Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing-Based Content Analysis [0.03%]
基于自然语言处理的在线药品评论内容分析：对女性避孕产品副作用的新认识
Nicole Groene,Audrey Nickel,Amanda E Rohn
Nicole Groene
Background: Most online and social media discussions about birth control methods for women center on side effects, highlighting a demand for shared experiences with these products. Online user reviews and ratings of birth...
Generative Large Language Model-Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19 [0.03%]
基于生成式大规模语言模型的个性化风险评估对话AI应用：以COVID-19为例的研究案例
Mohammad Amin Roshani,Xiangyu Zhou,Yao Qiang et al.
Mohammad Amin Roshani et al.
Background: Large language models (LLMs) have demonstrated powerful capabilities in natural language tasks and are increasingly being integrated into health care for tasks like disease risk assessment. Traditional machine...
Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review [0.03%]
基于智能手机的眼睛、皮肤和声音数据利用机器学习进行疾病预测的范围综述
Research Dawadi,Mai Inoue,Jie Ting Tay et al.
Research Dawadi et al.
Background: The application of machine learning methods to data generated by ubiquitous devices like smartphones presents an opportunity to enhance the quality of health care and diagnostics. Smartphones are ideal for gat...
Review
JMIR AI. 2025 Mar 25:4:e59094. DOI:10.2196/59094 2025
Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation [0.03%]
基于效用的统计方法和深度学习模型在合成数据生成中的分析，重点关注相关结构：算法开发与验证
Marko Miletic,Murat Sariyar
Marko Miletic
Background: Recent advancements in Generative Adversarial Networks and large language models (LLMs) have significantly advanced the synthesis and augmentation of medical data. These and other deep learning-based methods o...
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation [0.03%]
使用基于深度学习的音频增强提高自动呼吸音分类的稳健性和临床适用性：算法开发与验证
Jing-Tong Tzeng,Jeng-Lin Li,Huan-Yu Chen et al.
Jing-Tong Tzeng et al.
Background: Deep learning techniques have shown promising results in the automatic classification of respiratory sounds. However, accurately distinguishing these sounds in real-world noisy conditions poses challenges for ...
Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence [0.03%]
使用人工智能混合方法处理产品医学信息咨询的科学响应文件的创建
Jerry Lau,Shivani Bisht,Robert Horton et al.
Jerry Lau et al.
Background: Pharmaceutical manufacturers address health care professionals' information needs through scientific response documents (SRDs), offering evidence-based answers to medication and disease state questions. Medica...
Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review [0.03%]
研究人工智能对医生自主权的潜在影响：范围综述
John Grosser,Juliane Düvel,Lena Hasemann et al.
John Grosser et al.
Background: Physician autonomy has been found to play a role in physician acceptance and adoption of artificial intelligence (AI) in medicine. However, there is still no consensus in the literature on how to define and as...
Review
JMIR AI. 2025 Mar 13:4:e59295. DOI:10.2196/59295 2025
LLMs for thematic summarization in qualitative healthcare research: feasibility and insights [0.03%]
主题总结在定性医疗保健研究中使用大型语言模型的可行性与见解
Arturo Castellanos,Haoqiang Jiang,Paulo Gomes et al.
Arturo Castellanos et al.
Background: The application of large language models (LLMs) in analyzing expert textual online data is a topic of growing importance in computational linguistics and qualitative research within healthcare settings. ...
GPT-4 as a Clinical Decision Support Tool in Ischemic Stroke Management: Evaluation Study [0.03%]
GPT-4作为缺血性卒中管理中的临床决策支持工具的评估研究
Amit Haim Shmilovitch,Mark Katson,Michal Cohen-Shelly et al.
Amit Haim Shmilovitch et al.
Background: Cerebrovascular diseases are the second most common cause of death worldwide and one of the major causes of disability burden. Advancements in artificial intelligence have the potential to revolutionize health...
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study [0.03%]
医疗知识图谱在大型语言模型中的应用设计与研究：以诊断预测为例
Yanjun Gao,Ruizhe Li,Emma Croxford et al.
Yanjun Gao et al.
Background: Electronic health records (EHRs) and routine documentation practices play a vital role in patients' daily care, providing a holistic record of health, diagnoses, and treatment. However, complex and verbose EHR...