AIMC Topic: Patient Selection

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Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol.

BMJ open Mar 19, 2024
INTRODUCTION: In recent years, the influence of artificial intelligence technology on clinical trials has been steadily increasing. It has brought about significant improvements in the efficiency and cost reduction of clinical trials. The objective o...
Humans Patient Selection Clinical Trials as Topic Scoping Reviews As Topic Artificial Intelligence Research Design
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Enhancing site selection strategies in clinical trial recruitment using real-world data modeling.

PloS one Mar 11, 2024
Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clinical trial timelines. To meet the planned trial recruitment, site selection strategies are used during clinical trial planning to identify research sit...
Humans Machine Learning Patient Selection Clinical Trials as Topic
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Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study.

BMC cancer Feb 22, 2024
BACKGROUND: Artificial intelligence (AI)-assisted clinical trial screening is a promising prospect, although previous matching systems were developed in English, and relevant studies have only been conducted in Western countries. Therefore, we evalua...
Reproducibility of Results Clinical Trials as Topic Artificial Intelligence China Retrospective Studies Carcinoma, Hepatocellular Hospitalization Liver Neoplasms Humans Patient Selection
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Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs.

International journal of surgery (London, England) Dec 1, 2023
Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, and the complexity of traditional clinical trials on patients drive the ap...
Patient Selection Humans Biomedical Research Artificial Intelligence Health Facilities
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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Probability Proton Therapy Oropharyngeal Neoplasms Quality of Life Deep Learning Patient Selection Organs at Risk Humans Artificial Intelligence
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Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Successful clinical trials offer better treatments to current or future patients and advance scientific research. Clinical trials define the target population using specific eligibility criteria to ensure an optimal enrollment sample. Clinical trial ...
Eligibility Determination Patient Selection Automation Humans Machine Learning Natural Language Processing
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Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

BMC medical research methodology Apr 11, 2023
BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources. Under-enrolling trials make it impossible to ...
Natural Language Processing Patient Selection Humans Machine Learning Artificial Intelligence Pilot Projects
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A review of research on eligibility criteria for clinical trials.

Clinical and experimental medicine Jan 5, 2023
The purpose of this paper is to systematically sort out and analyze the cutting-edge research on the eligibility criteria of clinical trials. Eligibility criteria are important prerequisites for the success of clinical trials. It directly affects the...
Eligibility Determination Patient Selection Humans Research Design Clinical Trials as Topic Natural Language Processing Artificial Intelligence
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The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.

Scientific data Aug 11, 2022
Identifying cohorts of patients based on eligibility criteria such as medical conditions, procedures, and medication use is critical to recruitment for clinical trials. Such criteria are often most naturally described in free-text, using language fam...
Natural Language Processing Patient Selection Humans Databases, Factual Information Storage and Retrieval Clinical Trials as Topic
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Machine Learning Prediction of Clinical Trial Operational Efficiency.

The AAPS journal Apr 21, 2022
Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they have become increasingly complex and expensive, driven by a growing number of stakeholders requiring more endpoints, more diverse patient populations, ...
Humans Patient Selection Machine Learning Clinical Trials as Topic Forecasting
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