AIMC Topic: Patient Selection
Clear Filters Showing 121 to 130 of 164 articles
Temporary circulatory support for cardiogenic shock.
Current opinion in critical care
Aug 1, 2025
PURPOSE OF REVIEW: Temporary circulatory support (TCS) devices play a crucial role in stabilizing patients with refractory cardiogenic shock. They provide essential hemodynamic support and serve as a bridge to recovery, decision-making, heart transpl...
Phenotypic clustering analysis of patients rejected for mitral valve interventions: implications for future transcatheter technologies.
European heart journal. Cardiovascular Imaging
Jul 31, 2025
AIMS: Although several treatment options are available for patients with severe mitral regurgitation (MR), a significant proportion of patients remain ineligible for any mitral valve (MV) intervention. We aimed to analyse the phenotypic characteristi...
Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 1, 2025
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Aged, 80 and over
Male
Middle Aged
Female
Risk Factors
Aged
Recovery of Function
Predictive Value of Tests
Ischemic Stroke
Thrombolytic Therapy
Risk Assessment
Time Factors
Treatment Outcome
Humans
Machine Learning
Decision Support Techniques
Precision Medicine
Retrospective Studies
Clinical Decision-Making
Thrombectomy
Disability Evaluation
Functional Status
Patient Selection
Artificial intelligence in liver cancer surgery: Predicting success before the first incision.
World journal of gastroenterology
Apr 28, 2025
Advancements in machine learning have revolutionized preoperative risk assessment. In this article, we comment on the article by Huang , which presents a recent multicenter cohort study demonstrated that machine learning algorithms effectively strati...
Analysis of eligibility criteria clusters based on large language models for clinical trial design.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVES: Clinical trials (CTs) are essential for improving patient care by evaluating new treatments' safety and efficacy. A key component in CT protocols is the study population defined by the eligibility criteria. This study aims to evaluate the...
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVE: The objective of our research is to conduct a comprehensive review that aims to systematically map, describe, and summarize the current utilization of artificial intelligence (AI) in the recruitment and retention of participants in clinica...
Using Natural Language Processing on Expert Panel Discussions to Gain Insights for Recruitment, Retention and Intervention Adherence for Online Social Support Interventions on a Stage II-III Clinical Trial Among Hispanic and African American Dementia Caregivers.
Studies in health technology and informatics
Aug 22, 2024
We applied natural language processing (NLP) to a corpus extracted from 4 hours of expert panel discussion transcripts to determine the sustainability of a Stage II-III clinical trial of online social support interventions for Hispanic and African Am...
RE: Use of artificial intelligence for cancer clinical trial enrollment.
Journal of the National Cancer Institute
Jan 10, 2024
Machine Learning in Pain Neuromodulation.
Advances in experimental medicine and biology
Jan 1, 2024
This chapter highlights the intersection of pain neuromodulation and machine learning (ML), exploring current limitations in pain management and how ML techniques can address these challenges. Neuromodulation technologies, such as spinal cord stimula...
Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.
JCO clinical cancer informatics
Jul 1, 2023
PURPOSE: Matching patients to clinical trials is cumbersome and costly. Attempts have been made to automate the matching process; however, most have used a trial-centric approach, which focuses on a single trial. In this study, we developed a patient...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32021
- Neural Networks, Computer 30231
- Algorithms 27405
- Deep Learning 26912
- Artificial Intelligence 24844
- Robotics 13389
- Image Processing, Computer-Assisted 9738
- Retrospective Studies 9346
- Magnetic Resonance Imaging 6347
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4866
- Support Vector Machine 4771
- Computational Biology 4333
- Brain 4129
- Computer Simulation 3935
Recent Journals
- Scientific reports 6800
- Sensors (Basel, Switzerland) 4794
- PloS one 4210
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1916
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1172
- Journal of chemical information and modeling 1066
- Nature communications 1047
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 874
- Journal of medical Internet research 864
- Briefings in bioinformatics 853