AI Medical Compendium Topic

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Health Services Research

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Establishing a Health CASCADE-Curated Open-Access Database to Consolidate Knowledge About Co-Creation: Novel Artificial Intelligence-Assisted Methodology Based on Systematic Reviews.

Journal of medical Internet research
BACKGROUND: Co-creation is an approach that aims to democratize research and bridge the gap between research and practice, but the potential fragmentation of knowledge about co-creation has hindered progress. A comprehensive database of published lit...

A scoping review of ChatGPT's role in healthcare education and research.

Nurse education today
OBJECTIVES: To examine and consolidate literature regarding the advantages and disadvantages of utilizing ChatGPT in healthcare education and research.

Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study.

JMIR human factors
BACKGROUND: Generative artificial intelligence has the potential to revolutionize health technology product development by improving coding quality, efficiency, documentation, quality assessment and review, and troubleshooting.

The Promise and Challenges of Practice-Oriented Research: A Commentary on the Special Issue.

Administration and policy in mental health
At the centre of POR is the concept of collaboration between patients, therapists, agencies, and third-party payers. For this commentary, I review the articles of the special issue with attention to both the opportunities and challenges offered by pr...

Practice-Oriented Research: An Introduction to New Developments and Future Directions.

Administration and policy in mental health
Aimed at understanding and improving psychological therapies as they are conducted in clinical routine, practice-oriented research (POR) is now a well-established approach to the scientific foundations of mental health care services. Resting on the a...

Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
OBJECTIVES: Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employing NLP to i...

New horizons in prediction modelling using machine learning in older people's healthcare research.

Age and ageing
Machine learning (ML) and prediction modelling have become increasingly influential in healthcare, providing critical insights and supporting clinical decisions, particularly in the age of big data. This paper serves as an introductory guide for heal...

Core Concepts in Pharmacoepidemiology: Principled Use of Artificial Intelligence and Machine Learning in Pharmacoepidemiology and Healthcare Research.

Pharmacoepidemiology and drug safety
Artificial intelligence (AI) and machine learning (ML) are important tools across many fields of health and medical research. Pharmacoepidemiologists can bring essential methodological rigor and study design expertise to the design and use of these t...

AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ) Digital Healthcare Research Program over the past 20 years, evaluate its impact on US healthcare quality and safety, and outline current and future ...

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Journal of medical Internet research
BACKGROUND: ChatGPT, a conversational artificial intelligence developed by OpenAI, has rapidly become an invaluable tool for researchers. With the recent integration of Python code interpretation into the ChatGPT environment, there has been a signifi...