2020 BenchCouncil International Symposium on Intelligent Medicine Technology (MedTech 20)
Qingdao, Shandong, China June 30 - July 1, 2020
BenchCouncil International Symposium on Intelligent Medicine Technology (MedTech 20) will be held in Qingdao, a beautiful seaside city in China from June 30 to July 1. The main theme of MedTech 20 is AI and Computer Sciences for Medicine. MedTech 20 is a part of 2020 BenchCouncil Federated Intelligent Computing and Block Chain Conferences (FICC 2020), joint with Symposium on Intelligent Computers (IC 20), Symposium on Block Chain (BChain 20), Symposium on Financial Technology (FinTech 20), and Symposium on Education Technology (EduTech 20). This conference organization retains the advantages of a smaller conference, while at the same time, facilitates communication, collaboration, and interplay among different disciplines. Hereby, MedTech 20 is for the communication, collaboration, and interplay among the communities of Medicine，AI and Computer Sciences.
Since its founding, BenchCouncil has two fundamental responsibilities. On one hand, it encourages data-driven, intelligence-inspired, and benchmark-based quantitative approaches to tackle multi-disciplinary challenges. On the other hand, BenchCouncil incubates benchmark projects and hosts the BenchCouncil benchmark projects, and further encourages reliable and reproducible research using the BenchCouncil benchmark projects or incubator benchmark projects. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers related with those projects (each paper $100 prize, maximally up to 15 papers for MedTech 20). We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards.
In addition, we will invite influential speakers from around the world.
Specific topics of interest include, but are not limited to, the following.
Simulation Systems, Tools, and Methods for Life Sciences
Sensors and IoT Systems for Life Sciences
AI, Block Chain, Cloud, and Data Techniques for Medicine
Big Medical data and Privacy Protection
Medical AI and Interpretable Medical Models
Medical Data and AI Practice and Case Study
Drug discovery and Computer-aided Design
Internet-based Medical Diagnosis
Artificial Intelligence in Medical Diagnosis
Artificial Intelligence and Medical Image Analysis
Medical Education and Training
Medical Data Sets, Standardization, and Benchmarks