Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model [0.03%]
监督自然语言处理对暴力死亡叙述的分类：开发和评估一种紧凑型大型语言模型
Susan T Parker
Susan T Parker
Background: The recent availability of law enforcement and coroner or medical examiner reports for nearly every violent death in the United States expands the potential for natural language processing (NLP) research into ...
Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance [0.03%]
用于大型付款人供应商系统中检测抑郁严重程度的数字表型研究：语音和语言模型性能的回顾性研究
Bradley Karlin,Doug Henry,Ryan Anderson et al.
Bradley Karlin et al.
Background: There is considerable need to improve and increase the detection and measurement of depression. The use of speech as a digital biomarker of depression represents a considerable opportunity for transforming and...
Clinical Laboratory Parameter-Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study [0.03%]
基于临床实验室参数的机器学习在胃癌患者生物等效性研究受试者选择中的框架开发与验证研究
Byungeun Shon,Sook Jin Seong,Eun Jung Choi et al.
Byungeun Shon et al.
Background: Insufficient participant enrollment is a major factor responsible for clinical trial failure. Objective: We formulated a ma...
Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias [0.03%]
医学中的生成式AI：开创性进步还是延续历史不公？横断面研究评估隐性偏见
Philip Sutera,Rohini Bhatia,Timothy Lin et al.
Philip Sutera et al.
Background: Generative artificial intelligence (gAI) models, such as DALL-E 2, are promising tools that can generate novel images or artwork based on text input. However, caution is warranted, as these tools generate info...
Algorithmic Classification of Psychiatric Disorder-Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation [0.03%]
基于大规模语言模型嵌入的精神病障碍相关自发交流的算法分类：算法开发与验证
Ryan Allen Shewcraft,John Schwarz,Mariann Micsinai Balan
Ryan Allen Shewcraft
Background: Language, which is a crucial element of human communication, is influenced by the complex interplay between thoughts, emotions, and experiences. Psychiatric disorders have an impact on cognitive and emotional ...
A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis [0.03%]
一种用于产后护理的新款会话代理：开发与参与度分析
Kirstin Leitner,Clare Cutri-French,Abigail Mandel et al.
Kirstin Leitner et al.
Background: The "fourth trimester," or postpartum time period, remains a critical phase of pregnancy that significantly impacts parents and newborns. Care poses challenges due to complex individual needs as well as low at...
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study [0.03%]
基于多模态深度学习的压疮和大小便失禁相关性皮炎细粒度分类算法研发与验证研究
Alexander Brehmer,Constantin Seibold,Jan Egger et al.
Alexander Brehmer et al.
Background: Pressure ulcers (PUs) and incontinence-associated dermatitis (IAD) are prevalent conditions in clinical settings, posing significant challenges due to their similar presentations but differing treatment needs....
The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study [0.03%]
基于文本的临床场景中大型语言模型和口腔医学顾问识别口腔病变诊断性能的比较研究
Sarah AlFarabi Ali,Hebah AlDehlawi,Ahoud Jazzar et al.
Sarah AlFarabi Ali et al.
Background: The use of artificial intelligence (AI), especially large language models (LLMs), is increasing in health care, including in dentistry. There has yet to be an assessment of the diagnostic performance of LLMs i...
Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study [0.03%]
利用中型语言模型对急诊科记录中的患者数据进行可靠脱敏的算法研发、验证及实施研究
Océane Dorémus,Dylan Russon,Benjamin Contrand et al.
Océane Dorémus et al.
Background: The digitization of health care, facilitated by the adoption of electronic health records systems, has revolutionized data-driven medical research and patient care. While this digital transformation offers sub...
Striking a Balance: Innovation, Equity, and Consistency in AI Health Technologies [0.03%]
求同存异：人工智能医疗技术中的创新、公平与一致性
Eric Perakslis,Kimberly Nolen,Ethan Fricklas et al.
Eric Perakslis et al.
With the explosion of innovation driven by generative and traditional artificial intelligence (AI), comes the necessity to understand and regulate products that often defy current regulatory classification. Tradition, and lack of regulatory...