AIMC Topic: Clinical Trials as Topic

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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography.

JAMA ophthalmology Nov 1, 2023
IMPORTANCE: The identification of patients at risk of progressing from intermediate age-related macular degeneration (iAMD) to geographic atrophy (GA) is essential for clinical trials aimed at preventing disease progression. DeepGAze is a fully autom...
Male Disease Progression Aged Aged, 80 and over Macular Degeneration Clinical Trials as Topic Geographic Atrophy Deep Learning Tomography, Optical Coherence Humans Algorithms Retrospective Studies Female
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AI's potential to accelerate drug discovery needs a reality check.

Nature Oct 1, 2023
Humans Artificial Intelligence Clinical Trials as Topic Uncertainty Reproducibility of Results Drug Discovery
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Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials.

Seminars in radiation oncology Oct 1, 2023
The practice of oncology requires analyzing and synthesizing abundant data. From the patient's workup to determine eligibility to the therapies received to the post-treatment surveillance, practitioners must constantly juggle, evaluate, and weigh dec...
Machine Learning Prospective Studies Humans Artificial Intelligence Clinical Trials as Topic Neoplasms Medical Oncology
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Patients should be informed when AI systems are used in clinical trials.

Nature medicine Aug 1, 2023
Humans Artificial Intelligence Informed Consent Clinical Trials as Topic
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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...
Eligibility Determination Leukemia Patient Selection Clinical Trials as Topic Humans Child Natural Language Processing Patient-Centered Care
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Clinical trial designs for artificial intelligence in gastrointestinal endoscopy.

The lancet. Gastroenterology & hepatology Sep 1, 2022
Clinical Trials as Topic Artificial Intelligence Endoscopy, Gastrointestinal Humans
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NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov.

Studies in health technology and informatics Jun 6, 2022
Core outcome sets (COS) are necessary to ensure the systematic collection, metadata analysis and sharing the information across studies. However, development of an area-specific clinical research is costly and time consuming. ClinicalTrials.gov, as a...
Humans COVID-19 Natural Language Processing Outcome Assessment, Health Care Clinical Trials as Topic
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A web-based tool for automatically linking clinical trials to their publications.

Journal of the American Medical Informatics Association : JAMIA Apr 13, 2022
OBJECTIVE: Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registrie...
Research Report Machine Learning Internet Clinical Trials as Topic Registries PubMed Humans
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Gender-sensitive word embeddings for healthcare.

Journal of the American Medical Informatics Association : JAMIA Jan 29, 2022
OBJECTIVE: To analyze gender bias in clinical trials, to design an algorithm that mitigates the effects of biases of gender representation on natural-language (NLP) systems trained on text drawn from clinical trials, and to evaluate its performance.
PubMed Clinical Trials as Topic Male Natural Language Processing Humans Delivery of Health Care Sexism Female
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An Evaluation of Pretrained BERT Models for Comparing Semantic Similarity Across Unstructured Clinical Trial Texts.

Studies in health technology and informatics Jan 14, 2022
Processing unstructured clinical texts is often necessary to support certain tasks in biomedicine, such as matching patients to clinical trials. Among other methods, domain-specific language models have been built to utilize free-text information. Th...
Clinical Trials as Topic Natural Language Processing Semantics Humans Language
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