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.
BRAINX TALKS - Conversations in AI for All! New podcast
In conversation with Anant Madabhushi, PhD.
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.
In this episode, Dr. Anant Madabhushi, a world leader in application of AI in healthcare, shares his teams unique approach to globally scalable AI, aspects of social justice while applying AI in healthcare for good, on setting up fruitful partnerships with clinicians, and on achieving commercial and academic success.
Anant Madabhushi, PhD, is the Donnell Institute Professor of biomedical engineering at Case Western Reserve University (CWRU) in Cleveland and director of the university’s Center for Computational Imaging and Personalized Diagnostics (CCIPD).
Madabhushi’s team at CCIPD is developing and applying novel Artificial Intelligence (AI) and machine learning approaches for the diagnosis, prognosis and prediction of therapy response for a variety of diseases including several different types of cancers, cardiovascular disease, kidney and eye disease. The Center is located in Cleveland’s unique medical ecosystem, an extensive clinical network within which it boasts numerous successful collaborations including with the Cleveland Clinic and the Cole Eye Institute, University Hospitals, the VA Louis Stokes Medical Center, MetroHealth, and the Case Comprehensive Cancer Center at CWRU.
Dataset created for the purpose of continuing research into COVID-19. However with information from all 50 states and the District of Columbia, many US statistics can be compared.
Open access to all.
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.
Facts and Figures
2500+ international members:Largest online community for machine learning in healthcare.
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!
Machine Learning in healthcare for good.
Connect, learn and share scientific knowledge about applications of Machine Learning in healthcare.
Connect and Contribute
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