Artificial Intelligence in Healthcare: Current State and Future Perspectives

Artificial Intelligence in Healthcare: Current State and Future Perspectives

Public health and preventive medicine
Artificial Intelligence

Artificial intelligence (AI), which is the simulation of human intelligence processes by machines, is having a growing impact on healthcare. Via AI, researchers can provide new approaches to merge, analyze, and process complex “big data” and gain more actionable insights, understanding, and knowledge at an individual and population level. Medical staff can be helped by AI-assisted clinical decision support (CDS), i.e., machine learning (ML) and deep learning (DL) models that analyze large medical datasets. They do this by summarizing radiology and pathology reports by means of natural language processing (NLP), automating repetitive but time-consuming tasks, and much more. Patients can talk to chatbots who have access to all medical knowledge in the world, including the patient’s medical history, and provide personalized advice. This Special Issue intends to show some examples of how AI impacts healthcare, with some discussion on potential future developments as well as challenges.

Tim Hulsen

https://mdpi-res.com/bookfiles/book/9229/Artificial_Intelligence_in_Healthcare_Current_State_and_Future_Perspectives.pdf?v=1754528975

MDPI - Multidisciplinary Digital Publishing Institute

2024

Mustabsyirah

Creative Commons

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English

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