Second issue丨Preview of the top "AI+Medical Imaging" course: Three major technical practices, advantages and disadvantages, and experience of AI medical imaging

Topic: The three major technologies of AI medical imaging: practical application, advantages and disadvantages, experience and development

Time: December 6 (this Wednesday), 8pm

Guest: Wenjie Bai: CEO of Peptide Building Blocks Technology, serial entrepreneur in the field of big data

A series of courses only for AI medical practitioners, university teachers and students with AI research background, radiologists, and CFDA staff will meet you again this Wednesday.

Last Wednesday, we invited Professor Wang Liwei from Peking University to give us an in-depth lecture on "The Current Status, Opportunities and Challenges of AI Medical Imaging".

Professor Wang Liwei is the first Asian scholar to receive the AI's 10 to Watch Award. He is also the mentor of the champion teams of the LUNA and Tianchi AI Medical Competitions. From the perspective of an artificial intelligence researcher, he gave a 120-minute in-depth sharing and interactive Q&A session to more than 500 senior medical artificial intelligence professionals.

After the live broadcast, several well-known radiologists and AI researchers in the high-end WeChat discussion group of this class continued to discuss for more than 3 hours, learning from each other and filling the blind spots between doctors and engineers.

The next day, the medical and engineering sides continued to discuss the issue for a whole day.

A GE student couldn't help but sigh in the group:

The group is full of talented people, all of whom are big names in AI industry, academia and medicine. The courses are well arranged, prestigious, content-rich and interesting. The planners really want to spread the medical AI culture well, and think about what we think.

As the course content planner, Leifeng.com AI Gold Rush has interviewed dozens of directors of tertiary hospitals, chief physicians of imaging departments, and directors of information centers who have applied AI products in the past six months. We have also conducted in-depth discussions with dozens of CEOs of medical artificial intelligence companies and hundreds of AI researchers. We are well aware of the blind spots and pain points between medicine and engineering.

Different fields are like different mountains, which is especially true for the IT and medical fields. At present, this market is still in its early stages, with various players entering the market and products still in the scientific research stage.

So what are the advantages and disadvantages of different AI technologies in their actual application in different medical imaging cases?

This Wednesday (December 6), Ms. Wenjie Bai, CEO of Peptide Building Block Technology, will share her cases, advantages and disadvantages, and some thoughts on applying different deep learning networks to different medical images in solving practical problems.

Guest introduction:

Bo Wenjie

Wenjie Bai, founder and CEO of Beijing Peptide Building Block Technology Co., Ltd., is a serial entrepreneur in the field of big data and a core founding member of well-known big data companies Xinbai Technology and Shiqu Interactive. He is an AI algorithm engineer and his original LP-NET algorithm has achieved international leading level in medical imaging lesion recognition.

Course content:

• Common application problems of medical imaging and what we should do

  
  

• Deep Learning Solutions for Medical Imaging Applications

  
  

• Application, advantages, disadvantages and extension of classification networks in medical imaging

  
  

• Application, advantages, disadvantages and expansion of image segmentation in medical imaging

  
  

• Application scenarios and thoughts of GAN network

Suitable for people and institutions

Enterprises: Medical artificial intelligence practitioners and entrepreneurs

Colleges and universities: professors and researchers with a background in computer vision, image processing, and medical imaging; students who want to engage in medical imaging analysis

Hospital: Chief Physician of Imaging Department/Radiology Department/Pathology Department, Director of Information Center

Supervision: Practitioners of medical-related regulatory agencies such as CFDA

way of participation:

Sign up to watch: Scan the QR code on the poster at the bottom of the article, follow the public account " AI Gold Rush ", and reply directly with the keyword " medical imaging " to make an appointment for the course.

Benefits: If you want to join the high-end member group and discuss with many experts, please add the assistant Xiao Ai WeChat ID: mooccai , and note your personal information (image + name + company/school, position/major) in the send friend verification box . After passing the review, you will be invited to join the Future Medical High-end Member Group. (The professional group has strict review, please fill in carefully, thank you for your understanding.)

More courses: "Future Medical Lecture Hall - Medical Imaging Special Topic" will have nearly 10 authoritative experts in the fields of industry, academia, and medicine share in depth. Each class is 60 to 120 minutes. Starting from this week, it will be updated every Monday . The subsequent course time and details will be notified in real time on the official account "AI Gold Digging".

Next week’s guest: Zhao Di, associate researcher of the “Hundred Talents Program” at the Computer Network Information Center of the Chinese Academy of Sciences, and leader of the brain-inspired computing research group.

Dr. Zhao Di graduated from Louisiana Tech University in the United States and conducted postdoctoral research at Columbia University and OSU in the United States. He has been working in the medical application of artificial intelligence for more than ten years. The research team he leads has cooperated with more than a dozen hospitals in China to conduct in-depth research in many fields such as HIV-induced cognitive impairment, vascular cognitive impairment, lung cancer screening, carotid artery ultrasound identification, intelligent diagnosis of prostate cancer, and diabetic retinopathy identification, and has achieved a series of outstanding results.

Fee: Live broadcast is free; video playback is paid (9.9 yuan)

For more information about the "Future Medical Lecture Series - Medical Imaging Special Topic" series of courses, please click on the hyperlink to read: "Those who work on AI don't understand medicine, and those who study medicine don't understand AI? The top "AI+Medical Imaging" series of courses is coming"