Artificial Intelligence Transforming Healthcare Landscape
eHEALTH|May- June 2019 / Volume 14 - Issue 5

In the light of India facing double whammy of communicable and non-communicable diseases, Artificial Intelligence (AI), an emerging technology, is being hailed for its immense transformational possibilities in providing an enriched healthcare experience to people at large. Mukul Kumar Mishra of Elets News Network (ENN) explores the various avenues where AI can be leveraged to strengthen the Indian healthcare delivery system.

Artificial Intelligence Transforming Healthcare Landscape

Technology is fast making inroads in every sphere of life, including healthcare sector. Thinking of leading the life away from laptop, smartphones, and latest mobile applications, seems unfathomable nowadays. Though IoT, virtual reality and blockchain have proven their worth in enhancing different deliverables in healthcare sector, Artificial intelligence’s (AI) transformative power is talk of the town these days.

From hospital care to clinical research, drug development, insurance and prediction of deadly diseases like heart ailments, AI applications are proving to be a boon to reduce spending and improving patient outcomes in healthcare sector.

Prasad Kompalli, CEO & Co-founder of mFine, opines: “Technology allows you to remove barriers of distance and time. Anyone with a smartphone can connect to a doctor.”

As Indian healthcare industry is fraught with challenges including unavailability of requisite infrastructure to understaffed hospitals, lack of equipment and other logistic supports, AI holds huge significance.

WHAT IS ARTIFICIAL INTELLIGENCE?

Artificial intelligence means simulation of human elements by machines/ computers, where they acquire information (learning), process it to reach reasonable conclusions (action). It leverages various technologies like machine/deep learning, vision, Neuro-Linguistic Programming (NLP), robots, or autonomous machines, etc, for delivering better results.

In theory, AI systems need to “see” unstructured data, such as radiologic images, graphs, slide images, clinic notes, and literature texts, and then convert them to a knowledge base in a structured format.

この蚘事は eHEALTH の May- June 2019 / Volume 14 - Issue 5 版に掲茉されおいたす。

7 日間の Magzter GOLD 無料トラむアルを開始しお、䜕千もの厳遞されたプレミアム ストヌリヌ、9,000 以䞊の雑誌や新聞にアクセスしおください。

この蚘事は eHEALTH の May- June 2019 / Volume 14 - Issue 5 版に掲茉されおいたす。

7 日間の Magzter GOLD 無料トラむアルを開始しお、䜕千もの厳遞されたプレミアム ストヌリヌ、9,000 以䞊の雑誌や新聞にアクセスしおください。

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