AIMC Topic: Clinical Trials as Topic
Clear Filters Showing 171 to 180 of 249 articles
Knowledge bases, clinical decision support systems, and rapid learning in oncology.
Journal of oncology practice
Feb 24, 2015
One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clin...
Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial.
Methods (San Diego, Calif.)
Nov 20, 2014
OBJECTIVE: It is important to identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
Journal of the American Medical Informatics Association : JAMIA
Jul 16, 2014
OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extractio...
[Analysis of the global registration status of clinical trials for artificial intelligence medical device].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Jun 25, 2025
The rapid development of artificial intelligence technology is driving profound changes in medical practice, particularly in the field of medical device application. Based on data from the U.S. clinical trials registry, this study analyzes the global...
Clinical trials reimagined: Integrating community engagement and artificial intelligence.
Med (New York, N.Y.)
Jun 13, 2025
In celebration of Clinical Trials Day, May 20, this collection of Voices highlights visionary perspectives on the evolving landscape of clinical research. It explores decentralized clinical trials, which bring research into participants' homes, enhan...
Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jun 13, 2025
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment of cancer, patients often experience toxicity during or after treatment. RT-induced genitourinary (GU) toxicity is a significant survivorship challen...
Clinical Trial Design Approach to Auditing Language Models in Health Care Setting.
JCO clinical cancer informatics
Jun 1, 2025
PURPOSE: Rapid advancements in natural language processing have led to the development of sophisticated language models. Inspired by their success, these models are now used in health care for tasks such as clinical documentation and medical record c...
Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Jun 1, 2025
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may allow for real-time modifications based on emergi...
CRT 2025 late-breaking trials: Key takeaways.
Cardiovascular revascularization medicine : including molecular interventions
Jun 1, 2025
The Cardiovascular Research Technologies (CRT) 2025 conference, a prominent gathering in the field of cardiology, convened more than three thousand attendees from around the world. CRT provides a forum for exemplary education for interventional cardi...
RoBIn: A Transformer-based model for risk of bias inference with machine reading comprehension.
Journal of biomedical informatics
Jun 1, 2025
OBJECTIVE: Scientific publications are essential for uncovering insights, testing new drugs, and informing healthcare policies. Evaluating the quality of these publications often involves assessing their Risk of Bias (RoB), a task traditionally perfo...
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