Professor, University of Health & Welfare, Japan
Supported by Japanese Telemedicine and Telecare Association (JTTA), Japanese Society of Digital Pathology (JSDP) and Japanese Society of Medical Imaging Technology (JAMIT)
Following the success of the 2018 conference, we will host the 5th Digital Pathology Congress Asia in Tokyo on 2nd – 3rd April 2019.
This congress brings together an international audience of pathology professionals to explore the latest advances and applications of digital pathology.
A new addition to the 2019 agenda is the focus given to the use of artificial intelligence and machine learning – already used in a range of disciplines. Today machine learning software for primary diagnosis and clinical research is being developed. One thing is certain pathologists will see AI applied to their work!
The meeting’s presentations also look at how the image-based information environment is transforming the laboratory. The technology has already demonstrated that it can deliver significant efficiency gains. You will learn from those whose strategies have successfully redesigned laboratory workflows. Plus, you can discover how to effectively harness gains such as reducing lab costs, improving links between other laboratories & scientists and minimizing human error.
This congress is part of the successful Digital Pathology & Artificial Intelligence series. Over 300 pathologists came to New York in July 2018. So please do join us in Tokyo. You will have an outstanding learning experience from an international speaker panel. Plus, a diverse exhibition room filled with solution providers means that you will have a hands-on experience with the latest technology. With over 5 hours of networking sessions and expert-led panel discussions, there will be ample opportunity for you to debate the issues with your peers.
Associate Professor, Department of Pathology & Dermatology, Icahn School of Medicine at Mt.Sinai, New York
More than 200 industry and academic experts will attend this 2-day event. Join them and learn how to adopt the newly improved analysis techniques and strategies that will exploit digital pathology to maximum effect.