AIMC Topic: Artificial Intelligence

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Editor's view: What makes science successful?

Journal of global health
This editorial examines the factors contributing to the success of science, tracing its evolution from fundamental human curiosity to contemporary advancements propelled by technology, data, and artificial intelligence (AI). Beginning with the hypoth...

Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

Journal of global health
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big data to analyse clinical information combined with external sources. Machine learning, a subset of AI, uses algorithms trained on data to generate pre...

Resource trading strategies with risk selection in collaborative training market.

PloS one
The rapid development of edge computing and artificial intelligence has brought growing interest in collaborative training. While prior research has addressed technical aspects of resource allocation, less attention has been paid to the underlying ec...

Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics.

Scientific reports
Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challenges of traditional medical training, including high expenses, limited resources, and ethical issues. This study presents a VR-based medical training ...

Artificial intelligence for healthcare: restrained development despite impressive applications.

Infectious diseases of poverty
BACKGROUND: Artificial intelligence (AI) remains poorly understood and its rapid growth raises concerns reminiscent of dystopian narratives. AI has shown the capability of producing new medical content and improving management through optimization an...

Assessing ChatGPT's suitability in responding to the public's inquires on the effects of smoking on oral health.

BMC oral health
BACKGROUND: With the growing use of Artificial Intelligence (AI) in healthcare, language models like ChatGPT are increasingly being used to provide health information. Given smoking's significant impact on oral health, including periodontal disease, ...

Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Scientific reports
Pulpal inflammation and regeneration are crucial for enhancing endodontic treatment outcomes. Transcriptomic studies highlight the involvement of proinflammatory cytokines, NF-κB signaling, and stem cell activity. This study employs a generative AI a...

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Scientific reports
Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. Factors affecting maternal and fetal health during early to mid-pregnancy can greatly influence fetal development....

Artificial intelligence-driven computational methods for antibody design and optimization.

mAbs
Antibodies play a crucial role in our immune system. Their ability to bind to and neutralize pathogens opens opportunities to develop antibodies for therapeutic and diagnostic use. Computational methods capable of designing antibodies for a target an...