AIMC Topic: United States

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Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Apr 22, 2024
INTRODUCTION: There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as a...
United States Nicotine Social Media Humans Commerce Electronic Nicotine Delivery Systems Marketing Natural Language Processing Tobacco Products
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Advanced Technologies in Radiation Research.

Radiation research Apr 1, 2024
The U.S. Government is committed to maintaining a robust research program that supports a portfolio of scientific experts who are investigating the biological effects of radiation exposure. On August 17 and 18, 2023, the Radiation and Nuclear Counter...
National Institute of Allergy and Infectious Diseases (U.S.) Artificial Intelligence Lung Skin Radiation Injuries United States Humans
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Application and effectiveness of artificial intelligence for the border management of imported frozen fish in Taiwan.

Journal of food and drug analysis Mar 15, 2024
In Taiwan, the number of applications for inspecting imported food has grown annually and noncompliant products must be accurately detected in these border sampling inspections. Previously, border management has used an automated border inspection sy...
Fishes Animals Humans Food Safety United States Artificial Intelligence Fish Products Taiwan
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Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing.

The Lancet. Digital health Mar 1, 2024
Digital therapeutics (DTx) are a somewhat novel class of US Food and Drug Administration-regulated software that help patients prevent, manage, or treat disease. Here, we use natural language processing to characterise registered DTx clinical trials ...
Clinical Trials as Topic Natural Language Processing United States Food and Drug Administration Humans United States
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Adaptive selection of the optimal strategy to improve precision and power in randomized trials.

Biometrics Jan 29, 2024
Benkeser et al. demonstrate how adjustment for baseline covariates in randomized trials can meaningfully improve precision for a variety of outcome types. Their findings build on a long history, starting in 1932 with R.A. Fisher and including more re...
Sample Size Linear Models United States Randomized Controlled Trials as Topic Machine Learning Research Design
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A Nationwide Network of Health AI Assurance Laboratories.

JAMA Jan 16, 2024
IMPORTANCE: Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, e...
Artificial Intelligence Quality Assurance, Health Care Health Facilities Public-Private Sector Partnerships Delivery of Health Care Laboratories United States Quality of Health Care
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President Biden's Executive Order on Artificial Intelligence-Implications for Health Care Organizations.

JAMA Jan 2, 2024
Delivery of Health Care Artificial Intelligence United States Organizations Group Practice Politics Federal Government
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Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The aim of this work was to create a gold-standard curated cohort of 10,000+ cases from the Veteran Affairs (VA) corporate data warehouse (CDW) for virtual emulation of a randomized clinical trial (CSP#592). The trial had six inclusion/exclusion crit...
Randomized Controlled Trials as Topic Natural Language Processing Information Storage and Retrieval Electronic Health Records Humans Cohort Studies Algorithms United States
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Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
While there is a growing recognition of the association between depression and asthma, few studies have leveraged deep learning-based (DL-based) models in a retrospective cohort study with a large sample size. We analyzed the association between depr...
Asthma Male Middle Aged Female Adult Logistic Models United States Humans Proportional Hazards Models Retrospective Studies Deep Learning Depression
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Pulmonary Embolism Education: Role of Generative Artificial Intelligence Models.

Missouri medicine Jan 1, 2024
The growing use of generative artificial intelligence (AI) in the public sphere allows for a greater degree of disseminating information worldwide. For patients, there is a growing body of literature exploring how the generative artificial intelligen...
United States Pulmonary Embolism Health Literacy Humans Patient Education as Topic Comprehension Artificial Intelligence
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