Topic.Deep learning and medical image analysis: cutting-edge applications of deep learning in imaging of 4 major medical conditions
WHEN. Next Monday, Dec. 11, 8 p.m.
GUESTS. Di Zhao: Postdoctoral Researcher, Department of Medical Information, Columbia University, USA; Associate Researcher, Computer Network Information Center, Chinese Academy of Sciences, "100 People Program"; Leader of Brain-like Computing Group
an A series of courses only for AI healthcare practitioners, university faculty and students with AI research backgrounds, imaging physicians, and CFDA staff , will be back with you all next Monday.
Two successful sessions of the Future of Healthcare Grand Rounds have been held。 last Wednesday， Lehigh (website)AI Nuggets has invited Professor Wang Liwei from Peking University， Bringing you《AI The current state of medical imaging、 Opportunities and challenges》 The wonderful sharing of。 On Wednesday, we invited the founder of Beijing Peptide Building Blocks Technology Co.&CEO Vincent Kerr， Sharing with trainees《AI The three main techniques of medical imaging in action、 merits and drawbacks、 Experience and development》 The experience of the。
After the live broadcast, a number of prominent imaging physicians and AI researchers in the high-end WeChat discussion groups for both sessions have been in continuous discussion, learning from each other and filling in the blind spots between medical and industrial.
As the course content planner, Thunderbolt AI Nuggets has interviewed dozens of tertiary hospital directors, imaging chief physicians, and information center directors who have applied AI products in the past six months, as well as had in-depth discussions with dozens of CEOs of medical AI companies and hundreds of AI researchers, Thunderbolt AI Nuggets understands the blind spots and pain points between medicine and industry.
The intersection of the professions is particularly apt for the IT and medical worlds.
When two teams work together to build a product, they face many issues such as different discourse systems, different evaluation methods, and who takes the lead.
This market is still in its early stages, with various players entering one after another and products still in the research and figuring out period.
Then the techniques of deep learning are useful in the 4 major human diseases ( Brachial plexus, joints, breast, fatty liver ) And what cutting-edge applications are available in imaging?
Next Monday (December 11), Dr. Zhao Di of the Computer Network Information Center of the Chinese Academy of Sciences will share a series of case studies and reflections on the results of his research on early diagnosis and treatment of typical human diseases.