AIMC Topic: Health Facilities

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Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.

Frontiers in public health
BACKGROUND: Sub-Saharan Africa faces high neonatal and maternal mortality rates due to limited access to skilled healthcare during delivery. This study aims to improve the classification of health facilities and home deliveries using advanced machine...

Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods.

International journal of medical informatics
OBJECTIVE: With the recent increase in research into public views on healthcare artificial intelligence (HCAI), the objective of this review is to examine the methods of empirical studies on public views on HCAI. We map how studies provided participa...

Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study.

Social science & medicine (1982)
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate cancer is one of the most prevalent cancers affecting men worldwide, but current diagnostic approaches have limitations in terms of specificity and sen...

ChatGPT in Pediatrics: Unraveling its Significance as a Clinical Decision Support Tool.

Indian pediatrics
The integration of artificial intelligence in pediatrics holds transformative potential, reshaping healthcare through innovative approaches to diagnosis, treatment planning, and tailored clinical decision support. In the evaluation of ChatGPT's perfo...

A Survey of Clinicians' Views of the Utility of Large Language Models.

Applied clinical informatics
OBJECTIVES:  Large language models (LLMs) like Generative pre-trained transformer (ChatGPT) are powerful algorithms that have been shown to produce human-like text from input data. Several potential clinical applications of this technology have been ...

Enhancing the fairness of AI prediction models by Quasi-Pareto improvement among heterogeneous thyroid nodule population.

Nature communications
Artificial Intelligence (AI) models for medical diagnosis often face challenges of generalizability and fairness. We highlighted the algorithmic unfairness in a large thyroid ultrasound dataset with significant diagnostic performance disparities acro...

Who should decide how limited healthcare resources are prioritized? Autonomous technology as a compelling alternative to humans.

PloS one
Who should decide how limited resources are prioritized? We ask this question in a healthcare context where patients must be prioritized according to their need and where advances in autonomous artificial intelligence-based technology offer a compell...

Classification of posttransfusion adverse events using a publicly available artificial intelligence system.

Transfusion
BACKGROUND: Correct classification of transfusion reactions is important not only for effective patient care and donor management but also for accurate tracking of events in hemovigilance systems. We compared the ability of a generative artificial in...