Information

Distinguished Speaker Event

Thursday, March 27, 2025

The Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University is pleased to announce a special visit by Dr. Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health.

Public Talk

Theme: Publishing Excellence in The Lancet: From General Medicine to Digital Health

Time: 15:30 - 16:30 (JST)

Venue: 18th floor university meeting room at Graduate School of Medicine, Osaka Metropolitan University

Format: 40-minute presentation followed by 20-minute Q&A

Audience: Open to university affiliates, hospital staff, and all medical researchers

Online

We plan to livestream the event from 15:30 to 16:30 on our laboratory's YouTube channel. We welcome your questions and comments.

https://www.youtube.com/live/3IJl1XS4m4A

Note: We apologize in advance if there are any technical difficulties with the stream!

About Dr. Rupa Sarkar

Dr. Rupa Sarkar is the founding Editor-in-Chief of The Lancet Digital Health, a position she has held since December 2018. Her distinguished career spans both research and editorial leadership in prestigious scientific publications.

Dr. Sarkar received her PhD from Imperial College London, where she investigated microRNAs and RNA splicing in human stem cell differentiation under the guidance of Dr. Nick Dibb and Prof. Robert Winston. Following postdoctoral research in embryonic development and disease at the Albert Einstein College of Medicine (USA), she joined Nature Research as an Associate Editor at Nature Protocols.

Her editorial career progressed to Senior Editor at Genome Biology, where she led the disease genomics area of the journal, before becoming Chief Editor of Nature Protocols, where she led the journal's editorial team.

Dr. Sarkar's interests encompass all interdisciplinary areas of digital health, with particular expertise in genomics and artificial intelligence approaches in clinical applications.

Our Recent Publications in The Lancet Digital Health

Our department has contributed the following research to The Lancet Digital Health:

1. "Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study"
   The Lancet Digital Health 5 (8), e525-e533
   Authors: Daiju Ueda, Toshimasa Matsumoto, Shoichi Ehara, Akira Yamamoto, Shannon L Walston, Asahiro Ito, Taro Shimono, Masatsugu Shiba, Tohru Takeshita, Daiju Fukuda, Yukio Miki
2. "A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan"
   The Lancet Digital Health, 6 (8), e580-e588
   Authors: Daiju Ueda, Toshimasa Matsumoto, Akira Yamamoto, Shannon L Walston, Yasuhito Mitsuyama, Hirotaka Takita, Kazuhisa Asai, Tetsuya Watanabe, Koji Abo, Tatsuo Kimura, Shinya Fukumoto, Toshio Watanabe, Tohru Takeshita, Yukio Miki

These publications demonstrate our department's pioneering work in using AI to extract advanced diagnostic information from chest radiographs, enabling assessment of cardiac functions and pulmonary functions that were previously only obtainable through specialized examinations.

Contact Information

For further information, please contact (info@med-ai.jp) the Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University.

Hosted by: Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University