September 1st/Day 1
9:00Welcome messages
Hashimoto, Satoru, Representative Organizer
Tojo, Arinobu, Vice President of the TMDU
9:10 - 13:00Lectures
The schedule on the first day includes presentations from esteemed speakers, outlining the capabilities of AI and data science in various medical spheres. Participants will gain insights from real-world experiences with the line-up featuring.
さまざまな医療分野におけるAIとデータサイエンスの可能性について、著名な講演者による講演が予定されている。参加者は実体験から洞察を得ることができる。
9:10-9:30/Lecture 1
Celi, Leo Anthony
Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, MIT Critical Care
- Building capacity in artificial intelligence through Datathons
9:35-9:55/Lecture 2
Feng, Mornin
Saw Swee Hock School of Public Health, Institute for Data Science at NUS
- Demystifying complex treatment recommendations: A hierarchical cooperative multi-agent reinforcement learning approach
10:00-10:20/Lecture 3
Hashimoto, Daniel A.
University of Pennsylvania Perelman School of Medicine, School of Engineering and Applied Science General Robotics, Automation, Sensing, and Perception Laboratory
- Opportunities and pitfalls of AI in surgery
10:25-10:45/Lecture 4
Nakayama, Luis
Sao Paulo Federal University
- Artificial intelligence in ophthalmology: The landscape and challenges for deployment
10:45-11:05/Break & Beginners’ guide
11:05-11:25/Lecture 5
Menser, Terri
Kern Center at Mayo Clinic
- Ethical and logistical considerations of artificial intelligence implementation in health care settings
11:30-11:50/Lecture 6
Kimura, Hitomi
University of Tsukuba
- Exploring the self-learning journey for beginner healthcare practitioners: Strategies for data-driven insights
初学者のためのデータサイエンス
12:00-12:50/Lunchtime lecture 1
Itatani, Keiichi
Department of Cardiovascular Surgery, Nagoya City University
- Revolutions in medical imaging data handling from the cardiovascular surgery
13:00-13:10/All about hands-on workshops (small group seminar; 2-hour session)
Celi, Leo/ Hashimoto, Satoru/Uhimido, Ryo/Aoki,Tomonoshin
A preference questionnaire will be taken and assigned in advance. You can choose 2 hands-on workshops.
The workshops will be offered in Japanese or English, there will be no interpretation.
Participants will get the various specialized lectures and work with actual datasets and experience practical aspects of coding and creating machine learning models.
参加者は専門的な指導とともに、実際のデータセットを使用し、コーディングや機械学習モデルの作成などを実践的に体験する。事前にどのコースを選択するかアンケートを実施する。
＞ Overview of the hands-on workshops
13:20-15:20/Hands-on workshops Part 1: HWS01-06
15:30-17:30/Hands-on workshops Part 2: HWS07-11
September 2nd ＆ 3rd/Day 2 ＆ 3
9:00 -Critical Data Workshops and Datathon 2023
Participants are encouraged to apply their newly acquired knowledge in real-time. Collaborate with data scientists and physicians to address genuine clinical issues using big data.
参加者は新しく得た知識をリアルタイムで活用することができる。データサイエンティストや医師と協力し、ビッグデータを用いて真の臨床問題に取り組む。
If you prefer the traditional Datathon, please consult us in advance.
Whether selecting a new or traditional Datathon materials, each team will present their analysis on the final day. The Steering Committee will select and award the best three projects based on clinical relevance, novelty of the topic, methodology, and quality of presentation. Each team will be encouraged to write and present a paper based on their findings.
Preparatory Materials for Critical Data Workshops and Datathon 2023:
We will distribute the materials ahead of time. Please go through the materials before attending the Datathon.
＞ Overview of the critical data workshops and Datathon
September 2nd/Day 2
9:00-12:00/Critical data workshops and Datathon 2023
12:00-13:00/Lunchtime lecture 2
Shimizu, Sayuri
Department of Health Data Science at the Graduate School of Data Science, Yokohama City University
- Routinely collected health data in Japan: Characteristics and data availability
日本で利用可能な医療管理データ（RCD）：データ特性と利用法
13:00-17:30/Critical data workshops and Datathon 2023
September 3rd/Day 3
9:00-12:00/Critical data workshops and Datathon 2023
12:00-13:00/Lunchtime lecture 3
13:00-14:30/Last spurt of the critical data sorkshops and Datathon 2023
15:00-16:30/Presentation by each team
16:30-17:30/Awarding & wrap up
17:30/Commemoratve photo taking