AIMC Topic: Clinical Trials as Topic

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Cardiogenic Shock Update: New Trials, Evolving Management Paradigms, and Artificial Intelligence.

Journal of cardiothoracic and vascular anesthesia Jun 12, 2024
Humans Clinical Trials as Topic Shock, Cardiogenic Artificial Intelligence Disease Management
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Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials.

Current opinion in structural biology Jun 4, 2024
The application of artificial intelligence (AI) in neurology is a growing field offering opportunities to improve accuracy of diagnosis and treatment of complicated neuronal disorders, plus fostering a deeper understanding of the aetiologies of these...
Humans Neuroimaging Clinical Trials as Topic Artificial Intelligence Alzheimer Disease
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Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial.

Nature communications Jun 1, 2024
Accurate identification of genetic alterations in tumors, such as Fibroblast Growth Factor Receptor, is crucial for treating with targeted therapies; however, molecular testing can delay patient care due to the time and tissue required. Successful de...
Urinary Bladder Neoplasms Humans Patient Selection Deep Learning Algorithms Clinical Trials as Topic Urologic Neoplasms Biomarkers, Tumor Female Male
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Unlocking the full potential of mesenchymal stromal cell therapy for osteoarthritis through machine learning-based in silico trials.

Cytotherapy May 19, 2024
Despite the potential of mesenchymal stromal cells (MSCs) in osteoarthritis (OA) treatment, the challenge lies in addressing their therapeutic inconsistency. Clinical trials revealed significantly varied therapeutic outcomes among patients receiving ...
Clinical Trials as Topic Mesenchymal Stem Cell Transplantation Osteoarthritis Mesenchymal Stem Cells Algorithms Computer Simulation Male Treatment Outcome Female Humans Machine Learning
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How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons.

Drug discovery today Apr 30, 2024
AI techniques are making inroads into the field of drug discovery. As a result, a growing number of drugs and vaccines have been discovered using AI. However, questions remain about the success of these molecules in clinical trials. To address these ...
Drug Discovery Drug Industry Clinical Trials as Topic Humans Artificial Intelligence
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AlpaPICO: Extraction of PICO frames from clinical trial documents using LLMs.

Methods (San Diego, Calif.) Apr 21, 2024
In recent years, there has been a surge in the publication of clinical trial reports, making it challenging to conduct systematic reviews. Automatically extracting Population, Intervention, Comparator, and Outcome (PICO) from clinical trial studies c...
Data Mining Clinical Trials as Topic Machine Learning Natural Language Processing Humans
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[Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].

Bulletin du cancer Mar 19, 2024
INTRODUCTION: The recruitment step of all clinical trials is time consuming, harsh and generate extra costs. Artificial intelligence tools could improve recruitment in order to shorten inclusion phase. The objective was to assess the performance of a...
Algorithms Female Breast Neoplasms Male Aged Artificial Intelligence Machine Learning Humans Clinical Trials as Topic Eligibility Determination Time Factors Patient Selection Middle Aged Data Mining Neoplasms
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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...
Research Design Patient Selection Clinical Trials as Topic Scoping Reviews As Topic Humans Artificial Intelligence
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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...
Patient Selection Humans Clinical Trials as Topic Machine Learning
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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...
Carcinoma, Hepatocellular Humans Artificial Intelligence Patient Selection China Retrospective Studies Reproducibility of Results Liver Neoplasms Clinical Trials as Topic Hospitalization
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