About AI in Medicine and Healthcare

In recent years modern medicine has seen a sharp rise in the application of artificial intelligence (AI), fortifying the aspects of predictive, preventive, personalized and precise healthcare. From prediction of diseases to drug development, from treating rare diseases to remote patient monitoring, the impact of AI in medicine and healthcare is extensive. The COVID-19 pandemic has illustrated the power of AI in multifarious domains like contact tracing, virtual consultations, and predictive analysis of epidemiological aspects.
 
This collection focuses on the transdisciplinary areas of AI, medicine, and healthcare, covering not only the perspectives of technology and data science, but also discussing the issues related to design and implementation during AI-integration in medicine and healthcare. This collection also points at prophylaxis, one of the pivotal goals of incorporating AI in modern healthcare, to perform predictive analysis for prevention during all the stages across the lifespan or along a specific disease spectrum.
 
We invite original research on the integration and application of AI in medicine and healthcare along with case studies and clinical trials, promoting a space for leading the discussion on the future of AI-powered modern medicine and healthcare.

Keywords: Machine Learning, Medicine, Healthcare, Prevention, Prediction, Deep Learning, Predictive Analysis, Precision Medicine, Artificial Intelligence

Any questions about this collection? Please get in contact directly with Krishna Sharma (krishna.sharma@tandf.co.uk)

This collection is part of the Gateway on Artificial Intelligence & Machine Learning, which aims to provide stakeholders across academia, industry and policy with a space to disseminate work related to all areas of machine learning and AI research.