AIMC Topic: Clinical Trials as Topic
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ImpACT Project: Improving Access to Clinical Trials in Victoria, an Artificial Intelligence-Based Approach.
JCO clinical cancer informatics
Jan 9, 2025
PURPOSE: Enhancing the speed and efficiency of clinical trial recruitment is a key objective across international health systems. This study aimed to use artificial intelligence (AI) applied in the Victorian Cancer Registry (VCR), a population-based ...
Artificial intelligence-enabled safety monitoring in Alzheimer's disease clinical trials.
The journal of prevention of Alzheimer's disease
Jan 1, 2025
BACKGROUND: Investigators conducting clinical trials have an ethical, scientific, and regulatory obligation to protect the safety of trial participants. Traditionally, safety monitoring includes manual review and coding of adverse event data by exper...
Progress, Pitfalls, and Impact of AI-Driven Clinical Trials.
Clinical pharmacology and therapeutics
Dec 25, 2024
Since the deep learning revolution of the early 2010s, significant efforts and billions of dollars have been invested in applying artificial intelligence (AI) to drug discovery and development (AIDD). However, despite high expectations, few AI-discov...
Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish.
Annual review of pharmacology and toxicology
Dec 17, 2024
In the high-stakes arena of drug discovery, the journey from bench to bedside is hindered by a daunting 92% failure rate, primarily due to unpredicted toxicities and inadequate therapeutic efficacy in clinical trials. The FDA Modernization Act 2.0 he...
CPRS: a clinical protocol recommendation system based on LLMs.
International journal of medical informatics
Dec 4, 2024
BACKGROUND: As fundamental documents in clinical trials, clinical trial protocols are intended to ensure that trials are conducted according to the objectives set by researchers. The advent of large models with superior semantic performance compared ...
Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining.
Journal of biomedical informatics
Nov 26, 2024
OBJECTIVE: To enhance the efficiency, quality, and innovation capability of clinical trials, this paper introduces a novel model called CTEC-AC (Clinical Trial Eligibility Criteria Automatic Classification), aimed at structuring clinical trial eligib...
Natural Language Processing to Adjudicate Heart Failure Hospitalizations in Global Clinical Trials.
Circulation. Heart failure
Nov 16, 2024
BACKGROUND: Medical record review by a physician clinical events committee is the gold standard for identifying cardiovascular outcomes in clinical trials, but is labor-intensive and poorly reproducible. Automated outcome adjudication by artificial i...
Learning to match patients to clinical trials using large language models.
Journal of biomedical informatics
Oct 9, 2024
OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to clinical trials (CTs) within an information retrieval pipeline. Our objective is to enhance the process of patient-trial matching by leveraging the se...
How can quantum computing be applied in clinical trial design and optimization?
Trends in pharmacological sciences
Sep 23, 2024
Clinical trials are necessary for assessing the safety and efficacy of treatments. However, trial timelines are severely delayed with minimal success due to a multitude of factors, including imperfect trial site selection, cohort recruitment challeng...
Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study.
Journal of medical Internet research
Sep 23, 2024
BACKGROUND: Evaluation of artificial intelligence (AI) tools in clinical trials remains the gold standard for translation into clinical settings. However, design factors associated with successful trial completion and the common reasons for trial fai...
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