AIMC Topic: Clinical Trials as Topic
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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...
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...
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...
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...
A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer's disease.
Translational psychiatry
Feb 21, 2024
Alzheimer's disease is one of the most important health-care challenges in the world. For decades, numerous efforts have been made to develop therapeutics for Alzheimer's disease, but most clinical trials have failed to show significant treatment eff...
Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability.
Ophthalmology. Glaucoma
Jan 29, 2024
PURPOSE: Develop and evaluate the performance of a deep learning model (DLM) that forecasts eyes with low future visual field (VF) variability, and study the impact of using this DLM on sample size requirements for neuroprotective trials.
Generative artificial intelligence empowers digital twins in drug discovery and clinical trials.
Expert opinion on drug discovery
Jan 8, 2024
INTRODUCTION: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulation...
Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
European radiology experimental
Dec 1, 2023
BACKGROUND: We developed models for tumor segmentation to automate the assessment of total tumor volume (TTV) in patients with colorectal liver metastases (CRLM).
A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening.
Research synthesis methods
Sep 25, 2023
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approaches required knowing examples of relevant trials in advance, and most methods are focused on published trial articles. To complement existing tools, w...
Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.
Sensors (Basel, Switzerland)
Jul 12, 2023
The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for the loss of motor abilities in the fingers and thumb due to stroke are presented. This device has been developed in collaboration with physiotherapists ...
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