Advances Made in Healthcare using AI: A Holistic Approach

Enabling AI for Enterprises

The last one or two decades have seen a lot of AI enabled applications in the form of facial recognition systems, chatbot customer support, fraud detection, self-driving cars, drones, and smart assistants by Google, Amazon etc. Most of these applications involve sensory processing techniques for image and speech recognition, and language processing. Though quite exciting to engage with, these applications have a number of limitations and the overall user experience is far from satisfying. Experts opine that to be able to trust an intelligent system, enterprises need full stack solutions that are dependable, which clearly indicates that for the next few years, the focus of AI will be to develop more robust enterprise-ready applications in a focused domain.

Enabling AI for Patients

A lot of research companies are focusing on leveraging AI based solutions in healthcare. Most commonly, their objective is to facilitate predictive diagnosis, accelerate drug discovery, enhance patient experience, and conduct robot-assisted surgeries. Leading the way in implementing these innovations are leaders such as Google’s DeepMind Health, which has created an AI based program that notify about a patient’s deteriorating health in real time; there is Accuray CyberKnife System, a precision robotic treatment for treating malicious tumours; Heartlander, a miniature robot by Carnegie Mellon University to facilitate heart therapies; Zebra Medical Vision, an AI-powered radiology assistant; and Buoy Health — an intelligent symptom checker that understands the symptoms to suggest correct care, among many others.

Education & Training

Another important aspect that will majorly contribute to the progress in AI for healthcare is AI education and training. As of today, only a handful of people are trained in developing and managing machine learning systems. There is a dire need to up these numbers massively and empower more people with a formal knowledge of this field. Very few organizations/institutes are working in this direction, two of them are: the San Francisco based Open AI that builds free software for training, benchmarking, and experimenting with AI, besides working on advancing AI capabilities, safety, and policy; and Human-centered AI (HAI) by Stanford, an institute offering courses and programs that help people pursue cutting-edge research, create useful and responsible AI applications, and respond thoughtfully to the social implications of AI.

Progression of Responsible AI

Still, the industry experts and intellectual minds continue to have different thoughts on the end future of AI. Elon Musk has been making apocalyptic comments recently with regards to pacing innovations in AI, whereas world’s youngest world chess champion Gary Kasparov presents an opposite argument. At the 2020 Digital Life Design (DLD) Conference in Germany, he said, “Jobs don’t disappear, they evolve. Deleting people from repetitive jobs frees them up to be more creative. The future of the human race is hedged on creativity. The future is about humans and machines working together. AI will bring you what you want the most…time.”

References/sources

Author : VirooPax B. Mirji. — — Viroo Mirji (@ vpax)

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VirooPax Mirji

VirooPax Mirji

Entrepreneur, innovation leader, Industry disrupter, Data Ops Automation, Mobile/media/cable domain, OTT, Maker, Design thinker, & CRM/Billing services leader