cool hit counter Top "AI + Medical Imaging" Course Preview, Session 3: Deep Learning in 4 Major Disease Imaging Applications_Intefrankly

Top "AI + Medical Imaging" Course Preview, Session 3: Deep Learning in 4 Major Disease Imaging Applications

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.

Zhao Di: Computer Network Information Center (CNIC), Chinese Academy of Sciences, 100 People Program, Associate Researcher

Dr. Zhao graduated from Louisiana Tech University and has been working on medical applications of artificial intelligence at Columbia University and OSU for more than ten years. The brain science computing research group led by Mr. Zhao Di and NVIDIA, a global GPU solution provider, established the "GPU Education Center" and the "Smart Medical Joint Lab".

The team has conducted research on the early diagnosis and treatment of typical human diseases, proposing numerous solutions and achieving a number of results. In response to the aging population in Beijing and even nationwide, Ms. Zhao Di has collaborated with Tiantan Hospital of Capital Medical University and Xuanwu Hospital to pioneer research on early diagnosis of Alzheimer's disease based on knowledge in the medical field and deep learning in China, and has undertaken a number of projects such as the Beijing Natural Science Foundation Key Project and the Beijing Science and Technology Major Project. Meanwhile, the group has collaborated with more than a dozen hospitals in China to conduct in-depth research in many areas, including HIV-induced cognitive impairment, vascular cognitive impairment, lung cancer screening, carotid ultrasound identification, intelligent diagnosis of prostate cancer, and identification of sugar network, and has achieved a series of outstanding results.

Course content.

How to apply deep learning well in medical image analysis

Deep learning based brachial plexus neural recognition

Intelligent joint recognition based on deep learning

Deep learning based breast ultrasound image analysis

Deep learning-based ultrasound image analysis of fatty liver

Appropriate Populations and Institutions

Enterprise: Healthcare AI Practitioners and Entrepreneurs

Universities: professors and researchers with research backgrounds in computer vision, image processing and medical imaging; students who want to work in medical image analysis

Hospital: Chief physician of imaging/radiology/pathology department, director of information centre

Regulation: practitioners in healthcare-related regulatory agencies such as the CFDA

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