ARTIFICIAL INTELLIGENCE IN HEALTHCARE – A REALITY CHECK

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What is AI in Healthcare?

Artificial Intelligence (AI) is applied in healthcare through machine learning. It can interpret and recognize pre-set patterns/behaviours/principles/logic and generate a report without human intervention.

AI has the likely probability to assist healthcare industry in finding earlier and easier solutions to vital challenges, but the possibilities of making precise predictions can be challenging as it requires human intervention and diagnosis at various crucial stages. With healthcare companies gearing up to invest billions on AI-focused R&D activities, the possible outcome and relevance of clinical evaluation using AI remain a debatable question (owing to patient care and their life) where human oversight is still binding. The total investment by healthcare industries on AI is set to jump more than 100% to $36.1 billion by 2025 from the current spending of $2.1 billion. [1]

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Author Profile

Vijay SFinalivanandam 

Director, Regulatory Affairs at FMD K&L

A result oriented professional with 14+ years of industry experience in pharma space covering drug, consumer and medical device regulatory affairs, encompassing the US, EU and Rest of the World countries, including strategy & intelligence, lifecycle management submissions and other services under regulatory affairs and operations