AIMC Topic: Clinical Trials as Topic

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Health system-scale language models are all-purpose prediction engines.

Nature Jun 7, 2023
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models ...
Comorbidity Length of Stay Hospital Mortality Clinical Decision-Making Point-of-Care Systems Patient Readmission Clinical Trials as Topic Insurance Coverage Natural Language Processing Area Under Curve Physicians Electronic Health Records Humans
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Machine Learning in Clinical Trials: A Primer with Applications to Neurology.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics May 30, 2023
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML) and discussed ways in which these methodologies may be employed to enhance progress in clinical trials and research, with particular attention to applications...
Artificial Intelligence Machine Learning Clinical Trials as Topic Neurology
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Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large-scale studies.

The Journal of pathology May 25, 2023
The suggestion that the systemic immune response in lymph nodes (LNs) conveys prognostic value for triple-negative breast cancer (TNBC) patients has not previously been investigated in large cohorts. We used a deep learning (DL) framework to quantify...
Humans Prognosis Retrospective Studies Neoplasm Staging Clinical Trials as Topic Lymph Nodes Triple Negative Breast Neoplasms Female Lymphatic Metastasis Deep Learning
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Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.

JAMA network open Mar 1, 2023
IMPORTANCE: Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes...
Patient Care Planning Data Collection Clinical Trials as Topic Male Middle Aged Humans Natural Language Processing Feasibility Studies Deep Learning Female Computer Simulation Hospitalization Electronic Health Records Aged
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Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.

Scientific reports Jan 12, 2023
Overly restrictive eligibility criteria for clinical trials may limit the generalizability of the trial results to their target real-world patient populations. We developed a novel machine learning approach using large collections of real-world data ...
Eligibility Determination Models, Statistical Clinical Trials as Topic Machine Learning Humans Algorithms Electronic Health Records
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Artificial intelligence clinical trials and critical appraisal: a necessity.

ANZ journal of surgery Jan 11, 2023
Clinical Trials as Topic Humans Artificial Intelligence
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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...
Humans Research Design Natural Language Processing Artificial Intelligence Patient Selection Eligibility Determination Clinical Trials as Topic
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Improving clinical trial design using interpretable machine learning based prediction of early trial termination.

Scientific reports Jan 4, 2023
This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to predict early termination probability of clinical trials using machine learning modelling, and to understand feature contributions driving early t...
Research Design Probability Eligibility Determination Clinical Trials as Topic Humans Machine Learning
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Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models.

BMC medical informatics and decision making Oct 13, 2022
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge...
Nivolumab Clinical Trials as Topic Temozolomide Lomustine Chronic Disease Bevacizumab Natural Language Processing Humans Glioblastoma Deep Learning
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Using modern risk engines and machine learning/artificial intelligence to predict diabetes complications: A focus on the BRAVO model.

Journal of diabetes and its complications Oct 3, 2022
Management of diabetes requires a multifaceted approach of risk factor reduction; through management of risk factors such as glucose, blood pressure and cholesterol. Goals for these risk factors often vary and guidelines suggest that this is based on...
Machine Learning Risk Factors Clinical Trials as Topic Humans Artificial Intelligence Diabetes Complications
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