AIMC Topic: Epidemiologic Studies

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Reporting Quality of AI Intervention in Randomized Controlled Trials in Primary Care: Systematic Review and Meta-Epidemiological Study.

Journal of medical Internet research Feb 25, 2025
BACKGROUND: The surge in artificial intelligence (AI) interventions in primary care trials lacks a study on reporting quality.
Artificial Intelligence Primary Health Care Randomized Controlled Trials as Topic Epidemiologic Studies Humans
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Application of machine learning algorithms in an epidemiologic study of mortality.

Annals of epidemiology Jan 3, 2025
PURPOSE: Epidemiologic studies are important in assessing risk factors of mortality. Machine learning (ML) is efficient in analyzing multidimensional data to unravel dependencies between risk factors and health outcomes.
Nutrition Surveys United States Cause of Death Male Middle Aged ROC Curve Humans Aged Machine Learning Epidemiologic Studies Algorithms Female Mortality Adult Risk Factors
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Evaluating ChatGPT-4.0's data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R.

Journal of global health Mar 29, 2024
BACKGROUND: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'D...
Biomedical Research Humans Data Science Artificial Intelligence Epidemiologic Studies Research Design
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The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test sets.

Diabetes & metabolic syndrome Oct 25, 2023
BACKGROUND AND AIMS: It is still controversial whether deep learning (DL) systems add accuracy to thyroid nodule imaging classification based on the recent available evidence. We conducted this study to analyze the current evidence of DL in thyroid n...
Thyroid Neoplasms Thyroid Nodule Diagnosis, Differential Epidemiologic Studies Humans Sensitivity and Specificity Deep Learning
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The rise of intelligent research: how should artificial intelligence be assisting researchers in conducting medical literature searches?

Clinics (Sao Paulo, Brazil) Jun 8, 2023
Artificial Intelligence Epidemiologic Studies
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Measuring and modelling perceptions of the built environment for epidemiological research using crowd-sourcing and image-based deep learning models.

Journal of exposure science & environmental epidemiology Nov 11, 2022
BACKGROUND: Perceptions of the built environment, such as nature quality, beauty, relaxation, and safety, may be key factors linking the built environment to human health. However, few studies have examined these types of perceptions due to the diffi...
Washington Humans Deep Learning Epidemiologic Studies
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Chest Pain Dyspnea United Kingdom Early Diagnosis Epidemiologic Studies Anosmia Mobile Applications Models, Biological Self Report Male Middle Aged Adolescent Female SARS-CoV-2 Aged Adult Sensitivity and Specificity Aged, 80 and over Young Adult Pandemics COVID-19 Humans Prospective Studies Artificial Intelligence
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Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science May 17, 2021
Rare diseases affect between 25 and 30 million people in the United States, and understanding their epidemiology is critical to focusing research efforts. However, little is known about the prevalence of many rare diseases. Given a lack of automated ...
Humans Neural Networks, Computer United States PubMed Epidemiologic Studies Data Curation Rare Diseases
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Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

Journal of critical care Jan 9, 2020
PURPOSE: Identification of patients for epidemiologic research through administrative coding has important limitations. We investigated the feasibility of a search based on natural language processing (NLP) on the text sections of electronic health r...
Intensive Care Units Pattern Recognition, Automated Electronic Health Records False Positive Reactions Female Predictive Value of Tests International Classification of Diseases Natural Language Processing Software Humans Sensitivity and Specificity Epidemiologic Studies Databases, Factual Hospitalization Middle Aged Prospective Studies Incidence Young Adult Shock, Septic Adult
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Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.

Health & place Dec 4, 2019
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological fa...
Advisory Committees Public Health Internationality Cohort Studies Checklist Humans Health Status Spatial Analysis Epidemiologic Studies Artificial Intelligence Research Design
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