AIMC Topic: Health Facilities

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American public opinion on artificial intelligence in healthcare.

PloS one
Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American ...

AI maturity in health care: An overview of 10 OECD countries.

Health policy (Amsterdam, Netherlands)
BACKGROUND: Artificial Intelligence (AI) and its applications in health care are on the agenda of policymakers around the world, but a major challenge remains, namely, to set policies that will ensure wide acceptance and capture the value of AI while...

Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care.

BMC health services research
BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on both individual patient care and the health care system. There are many benefits to the integration of AI into health care, such as predicting acute ...

Exploring the role of an artificial intelligence chatbot on appendicitis management: an experimental study on ChatGPT.

ANZ journal of surgery
BACKGROUND: Appendicitis is a common surgical condition that requires urgent medical attention. Recent advancements in artificial intelligence and large language processing, such as ChatGPT, have demonstrated potential in supporting healthcare manage...

Application of machine learning approaches in predicting clinical outcomes in older adults - a systematic review and meta-analysis.

BMC geriatrics
BACKGROUND: Machine learning-based prediction models have the potential to have a considerable positive impact on geriatric care.

Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.

Scientific data
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. One area that can benefit by improvements in artificial intelligence (AI) is healthcare. The note ge...

Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal.

Computers in biology and medicine
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of accurately labeled data and single data type usage, prove insuffic...

Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.

The Lancet. Infectious diseases
Health-care systems, food supply chains, and society in general are threatened by the inexorable rise of antimicrobial resistance. This threat is driven by many factors, one of which is inappropriate antimicrobial treatment. The ability of policy mak...

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision.

Health policy (Amsterdam, Netherlands)
Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores the need for rigorous and continuous evaluation and...

Exploring the application of machine learning to expert evaluation of research impact.

PloS one
The objective of this study is to investigate the application of machine learning techniques to the large-scale human expert evaluation of the impact of academic research. Using publicly available impact case study data from the UK's Research Excelle...