AIMC Topic: Delivery of Health Care

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The Promises and Perils of Foundation Models in Dermatology.

The Journal of investigative dermatology
Foundation models (FM), which are large-scale artificial intelligence (AI) models that can complete a range of tasks, represent a paradigm shift in AI. These versatile models encompass large language models, vision-language models, and multimodal mod...

Perspectives on Big Data and Big Data Analytics in Healthcare.

Perspectives in health information management
Big data (BD) is of high interest for research and practice purposes because it has the potential to provide insights into the population served and healthcare practices. Much progress has been made in collecting BD and creating tools for big data an...

Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework.

BMC health services research
BACKGROUND: Digital transformation has sparked profound change in the healthcare sector through the development of innovative digital technologies. Digital Therapeutics offer an innovative approach to disease management and treatment. Care delivery i...

Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study.

Medical education online
Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to train physicians who understand the utility and implications of AI and mitigate a growing skills gap, no established consensu...

Speed, accuracy, and efficiency: The promises and practices of digitization in pathology.

Social science & medicine (1982)
Digitization is often presented in policy discourse as a panacea to a multitude of contemporary problems, not least in healthcare. How can policy promises relating to digitization be assessed and potentially countered in particular local contexts? Ba...

Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture.

Cell reports. Medicine
Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a systematic review of FL applications in healthcare, we identify relevant articles...

Combining simulation models and machine learning in healthcare management: strategies and applications.

Progress in biomedical engineering (Bristol, England)
Simulation models and artificial intelligence (AI) are largely used to address healthcare and biomedical engineering problems. Both approaches showed promising results in the analysis and optimization of healthcare processes. Therefore, the combinati...