AIMC Topic: Delivery of Health Care

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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...

Leveraging Artificial Intelligence for Expediting Implementation Efforts.

Creative nursing
Expedited implementation of evidence into practice and policymaking is critical to ensure the delivery of effective care and improve health-care outcomes. Implementation science deals with the designing of methods and strategies for increasing and fa...

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance.

Implementation science : IS
BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative AI, capable of generating n...

Implications of conscious AI in primary healthcare.

Family medicine and community health
The conversation about consciousness of artificial intelligence (AI) is an ongoing topic since 1950s. Despite the numerous applications of AI identified in healthcare and primary healthcare, little is known about how a conscious AI would reshape its ...

Transformative potential of artificial intelligence on health care and research in Africa.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

Monitoring multistage healthcare processes using state space models and a machine learning based framework.

Artificial intelligence in medicine
Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting changes and unnatural conditions at an early stage is crucial for healthcare professionals and administrators. In line with this goal, control charts, which ar...

Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals.

Social science & medicine (1982)
The advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate surrounding accountability for algorithmic medical decisions. Within this discourse, a spectrum of views prevails, ranging from placing accountability...

DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.

IEEE journal of biomedical and health informatics
Accurate breast cancer (BC) diagnosis is a difficult task that is critical for the proper treatment of BC in IoMT (Internet of Medical Things) healthcare systems. This paper proposes a convolutional neural network (CNN)-based diagnosis method for det...

Charting the future of patient care: A strategic leadership guide to harnessing the potential of artificial intelligence.

Healthcare management forum
Artificial Intelligence (AI) applications have the potential to revolutionize conventional healthcare practices, creating a more efficient and patient-centred approach with improved outcomes. This guide discuses eighteen AI-based applications in clin...

Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework.

Pharmaceutical research
BACKGROUND: Nowadays, healthcare systems are coping with the challenge of countering the exponential growth of healthcare costs worldwide, to support sustainability and to guarantee access to treatment for all patients.