Venue of Bench'19

2020 BenchCouncil International Symposium on Intelligent Medicine Technology (MedTech 20)

Qingdao, Shandong, China
Mid-October, 2020

Call for Papers


BenchCouncil International Symposium on Intelligent Medicine Technology (MedTech 20) will be held in Qingdao, a beautiful seaside city in China. 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 Medicineļ¼ŒAI 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 Robot

  • Medical Education and Training

  • Medical Data Sets, Standardization, and Benchmarks