Deployment of Artificial Intelligence in Neuro Critical Care

Abstract

eaders of Telehealth and Medicine Today might ask, "What is the relevance of artificial intelligence (AI) to telehealth and telemedicine?"Not surprisingly, the answer lies, at least in part, in the application of AI through telehealth to mediate the issues of misdistribution of the demand versus supply of healthcare services.That and more are probably possible.Understanding the current status of AI in healthcare is the first step and the goal of this editorial.In the last few years, we have witnessed unprecedented growth and development in the deployment of AI in healthcare.Simultaneously, super-specialization and sub-specialization niches in clinical areas have also increased.Neurocritical care (NCC) is one such area.This communication discusses the present status of some of the clinical challenges within NCC that AI could address.This includes unlocking clinically relevant information hidden in massive amounts of data.In an NCC setup, there are limitations and even inefficiencies in traditional approaches.It is possible that, eventually, AI could help mitigate some of these issues.However, at present, we are in a stage of transition.We still do not have enough data to unequivocally identify all the use cases for AI in an NCC unit.The purist may require double-blind, randomized controlled, multi-institutional cross-over studies before advocating the use of AI in an NCC.However, this is a time-consuming, labor-intensive procedure with several challenges.The "A" in artificial intelligence should ideally stand for Augmenting, Amplifying, Accelerating, and

Ähnliche Arbeiten