- Published on January 30, 2020
- In AI Features
What Regulatory Challenges Holding Back The Adoption Of AI In Healthcare In 2020
- By Rahul Raj
In today’s world, where AI impacts almost every aspect of our lives, how can healthcare be left behind? Every other day, we come across a media report of a novel new approach of AI being used in healthcare and life sciences. Some of the critical areas being drug research and discovery, gene editing, disease management and treatment, pattern recognition and early diagnosis. Early detection of life-threatening diseases such as cancer, cardiovascular diseases, and neurological disorders is one of the most prominent applications of AI in healthcare.
AI is also being used for efficient hospital management by removing bottlenecks and reducing wait time for patients as well as streamlining the workflow of healthcare professionals; thereby reducing their stress. However, even though the impa
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Rahul Raj
Rahul is a Delhi-based journalist/amateur photographer/story-teller/entrepreneur. He loves cheesecakes, puppies, minimalistic designs, mountains and traveling with his camera. He has previously worked with media organizations such as Inc42, Tech In Asia, and Times Internet. You can reach him at rahul.raj@analyticsindiamag.com with news tips, story ideas, feedback, and insights.
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