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  • Writer's pictureGunjan Syal

AI in Healthcare

This is a recap of the industry insights I shared during the Practical Applications of AI in Healthcare workshop held on Sat Dec 12, 2020 10–11:30am ET. The workshop was hosted by Hiren Dossani and the Artificial Intelligence & Cloud Toronto meetup.


Artificial intelligence in healthcare is an overarching term used to describe the utilization of machine-learning algorithms and software, or artificial intelligence (AI), to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.

The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. As widespread use of AI in healthcare is relatively new, there are several unprecedented ethical concerns related to its practice such as data privacy, automation of jobs, and representation biases.

In this session, you will learn about how multiple companies all across the globe are developing technologies that help Homo Sapiens i.e. Human Evolution!


TLDR? - watch the video segments, instead.

Visit the Super Community and Innovation Insights exclusive post for access to the complete material.

Complexities in the Healthcare Industry