A New York State 501(c)3 non-profit organization
We started off as a small community of healthcare researchers, who were interested in applying artificial intelligence to solve and scale healthcare challenges.
Our community growth and our mission necessitated a more formal organizational structure. In 2019, we became a 501(c)3 tax exempt organization in the state of New York.
In spite of the recent challenges; our team and our community have been resilient and resolute in our mission to build ethical, equitable and explainable healthcare artificial intelligence solutions.
The current advancements in the area of artificial intelligence, especially around generative models; have demonstrated both the capabilities and pit-falls of this powerful technology.
It has reinforced the belief in our mission to provide cutting-edge education, training and research for health applications of artificial intelligence. It has also instilled a new vigor in our pursuit to build human-centric, beneficial and benevolent artificial intelligence tools for healthcare.
Dr. Rahul Remanan is a physician turned artificial intelligence entrepreneur. He has over a decade of experience in machine learning and scientific computing in healthcare. His multi-disciplinary skill-sets in healthcare, consulting, enterprise software and community development has helped New York Health Artificial Intelligence Society grow from its original roots as a small scientific discussion community in New York; to attain its current stature as a leading proponent of ethical, explainable, equitable AI in healthcare. Rahul is currently the CEO of Moad Computer, an enterprise AI solutions firm.
Dr. Nick Giangreco is a precision medicine scientist and engineer. He holds a Ph.D. from Columbia University in Cellular, Molecular, and Biomedical Studies specializing in Systems Biology. Nick has published in over 10 peer reviewed publications and over a decade of experience in the field of computational biology. He is a frequent participant and leader in bioinformatics hackathons and attends international conferences showcasing the state-of-the-art research and tools used to advance human health. Nick is currently a Quantitative Translational Scientist at Regeneron Pharmaceuticals.
We are on a mission to maximize the societal benefits of healthcare artificial intelligence; by emphasizing the ethics and social implications of this incredibly powerful technology.
We envision the adoption of healthcare artificial intelligence solutions, that are driven by the needs and wants of the industry; instead of a technology for the sake of technology approach.
We are providing cutting-edge training to healthcare providers; thereby empowering them with the right skill-sets to lead the efforts of assessing the benefits and risks of this relatively nascent, yet highly disruptive technology.
Benevolent technology always holds the great promise of enriching and improving everyone's life.
But, to deliver on that potential; individuals who develop, deploy and utilize these technological solutions have to consciously incorporate the socially just ideas of serving the broadest possible population; at the same time, minimizing the associated risks and access hurdles.
Based on our mission to create equitable artificial intelligence, through inclusive and transparent tool building processes; we are facilitating thorough development, testing and post-market evaluations of human-centric artificial intelligence systems.
The artificial intelligence systems have been commonly perceived as inexplicable black-boxes; especially among the general public.
This magical thinking approach towards describing the inner workings of artificial intelligence, will inevitably lead to significant access restrictions for such an important technology, as well as, stymie its societal acceptance.
To broaden the access and adoption of healthcare artificial intelligence; we are developing a deeper understanding of this technology, that goes beyond the mere programmatic description of these techniques; by incorporating visual, natural language and mathematical tools.