Connecting healthcare community with machine learning experts.


Let's solve data problems together.


Sharing and learning together for exponential growth.


BrainX Community Live ! August 2021

On August 24th, 2021, at 5:00 - 6: 00 PM EST, join us for our BrainX community Live event, “ AI algorithms in Imaging: Current state and the future.     Click here to register.    


Drs. Vachon and Hall are the authors of: A Radiologist's Overview of the AI Market: The First 100 Algorithms. 


August 24, 2021. 5:00 – 6:00 PM EST via Zoom    Click here to register.

5:00-5:05 PM: BrainX Community live! Opening remarks by Ty Vachon, MD: "100 Current Ra diology Algorithms, How many do we need?

5:05-5:30 PM: “Updates on Neuro, Lung and Ultrasound Algorithms”: Kent Hall, MD

5:30-5:45 PM: "Barriers to Future Algorithms and Finding Product Market Fit”: Ty Vachon, MD

5:45-6:00 PM: Q&A, Tips on Kindle Publishing & Networking 



BRAINX TALKS - Conversations in AI for All!  NEW PODCAST

In conversation with Dr. Leo Anthony Celi.

Follow us on Spotify, Apple podcasts  and  Google podcasts

A Podcast  series focused on delivering conversations from a community of clinicians and AI experts from around the world about their views, work and  future outlook for applications of  AI in healthcare and more.

Dr.Leo Anthony Celi is there clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 25,000 users from around the world. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. "Secondary Analysis of Electronic Health Records" has been downloaded more than a million times, and has been translated to Mandarin, Spanish and Korean. He is the inaugural editor of PLOS Digital Health.

BrainX Talks is brought to you by Alok Kothari and  Dr.Ashish Khanna.


Artificial Intelligence in Healthcare - 2020 Year in Review  


A BrainX Community exclusive!

Watch the presentation on BrainX Community's Youtube channel by Dr. Piyush Mathur.

A review of 3000+ peer reviewed publications related to artificial intelligence in healthcare published in 2020 with specialist reviews, curated list and top picks.Get the hot topics,trends, connect with the lead researchers and get specialists point of views - all through one review.


A guide to getting started with machine learning in healthcare

A simple but exclusive 14 step guide compiled by members of BrainX Community to help get started with machine learning in healthcare.

Learning the basic programming skills, resources needed to get started on a project and more are all outlined in this simple guide.

Most importantly, it's a primer in getting bilingual and fostering collaboration between healthcare professionals and machine learning experts.

BrainX Community 

Facts and Figures

3000+ international members:Largest online community for machine learning in healthcare.

24+ countries.

Live monthly sessions since May 2018.

Largest repository of data sources links for machine learning in healthcare.

Single place for curated  machine learning in healthcare scientific articles.

Diversity in membership including Medical Students, Computer Science Graduate and Postgraduate Students, Physicians, Data Scientists, AI/ML Academicians, University Professors, Inventors, Innovation Managers, Entrepreneurs and even High School Students! 

One  vision

Machine Learning in healthcare for good.

One mission

Connect, learn and share scientific knowledge about applications of Machine Learning in healthcare.

One ask

Connect and Contribute


Next Steps...

Keep visiting us as we are developing this on a daily basis.

Join us on LinkedIn.Group name: BrainX Community