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Delivery of Health Care

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Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations.

PloS one
BACKGROUND: Generative artificial intelligence (GenAI) has the potential to revolutionise healthcare delivery. The nuances of real-life clinical practice and complex clinical environments demand a rigorous, evidence-based approach to ensure safe and ...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
With the wide application of new technologies such as large language models and generative artificial intelligence (AI) in the health care sector, artificial intelligence-assisted health care is confronted with new forms of legal risks. The algorithm...

Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023).

Journal of medical Internet research
BACKGROUND: Despite the rapid growth of research in artificial intelligence/machine learning (AI/ML), little is known about how often study results are disclosed years after study completion.

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has potential to transform health care, but its successful implementation depends on the trust and acceptance of consumers and patients. Understanding the factors that influence attitudes toward AI is crucial ...

Understanding healthcare efficiency-an AI-supported narrative review of diverse terminologies used.

BMC medical education
BACKGROUND: Physicians have become more responsible for pursuing healthcare efficiency. However, contemporary literature uses multiple terminologies to describe healthcare efficiency. To identify which term is best suitable for medical education to e...

Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.

BMJ open
INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across healthcare settings coupled with the growing digital divide in the healt...

Microbial Technologies Enhanced by Artificial Intelligence for Healthcare Applications.

Microbial biotechnology
The combination of artificial intelligence (AI) with microbial technology marks the start of a major transformation, improving applications throughout biotechnology, especially in healthcare. With the capability of AI to process vast amounts of biolo...

A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning.

Journal of biomedical informatics
OBJECTIVE: Persona validation is a challenging task, often relying on costly external validation methods. The aim of this study was the development of a novel method for Personas validation based on data already available during their creation.

Navigating the Artificial Intelligence Revolution: The Future of General Practice in India.

The Journal of the Association of Physicians of India
This article explores the integration of artificial intelligence (AI) into general medical practice in India. It discusses global AI healthcare trends and India's strategic approach of leveraging AI for societal benefit through public service applica...

The INNOVATE framework to foster ethics of artificial intelligence.

Recenti progressi in medicina
ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced and rapidly evolving chatbot technologies to date. Its capability to provide swift and intelligent responses has garnered admiration from scientists ...