The magnitude of Artificial Intelligence is on an ever expanding mode with sectors across the spectrum vying to leverage from the benefits it promises to offer. Be it finance, healthcare, education or entertainment, the presence of AI is evidently visible.
Healthcare is another such industry that is witnessing disruptive changes with the advent of AI in its value chain. In a global effort to make healthcare more inclusive with far-reaching benefits, while making it more cost effective, accurate and rapid, the healthcare industry is making use of the latest machine learning technologies-a key subset of AI to support growth. Combined efforts in computing, networking and robotics is driving continuous and extraordinary growth in AI investments in healthcare.
From diagnostic enhancements to patient care optimization and security automation – the world around us is evolving rapidly, with AI at the forefront, changing the world and the way we live.
According to a research by Oxford and Yale University, all human labor will be fully automated in the about 115 years, most human tasks will be automated in about the next 40 years while surgeries can be automated in less than 35 years.
Global Traction of AI in Healthcare
Want to publish your own articles on DistilINFO Publications?
Send us an email, we will get in touch with you.
The healthcare industry and its main players are evaluating how much more AI can be built into their products and solutions to enable healthcare professionals make more informed decisions.
Notwithstanding the individual efforts of technology companies, the use of AI is yet to be fully realized across the technological landscape for medical applications.
This is where the approvals from U.S. FDA (United States Food and Drug Administration) since February 2018 play a vital role. The FDA in 2018 permitted marketing of the first AI-based medical screening device that makes screening judgement without the need for a clinician to analyze the findings.
The FDA has laid down guidelines on AI-based solutions in medical domain – be it for mobile health or software as a medical device (SAMD). Documentation, data and results demonstration are a few things necessary to know what the intended purpose of the solution is and how it should be positioned in the market.
This current scenario has encouraged both public and private organizations globally to take advantage of the massive growth in valuable data and computing power.
AI in Indian Healthcare
Stakes of technological advancement in India are high, as it remains one of the most competitive regions in South Asia.
Despite the large-scale adoption of AI technology by Indian businesses, India lags on main AI growth metrics, even with a tech-savvy talent pool, esteemed colleges, balanced entrepreneurship rates and large corporations.
Reports suggest that India produces only 50,000 doctors annually, a far cry from the WHO recommended minimum of a doctor-patient ratio of 1:1000. Apart from lack of skilled healthcare professionals, the other big challenge is that not many qualified doctors would want to move to remote rural areas in the country. Technology and especially AI can offer a way out of this conundrum.
Source: ET HealthWorld
