World-Wide Network of AI Labs in Hospital

Workshop Abstract

 Recent advances in robotics and AI have opened up numerous possibilities for improving the usability of various devices and discovering new phenomena across various fields. One of the most important fields that can benefit from these advancements is medicine. In the medical domain, these applications go beyond just surgical robots and rehabilitation devices that enhance or replace human capabilities. They include addressing issues beyond traditional medical approaches, such as identifying disease sources, visualizing the recovery process, developing new therapeutic treatments, and providing appropriate movement support, based on detailed measurement and modeling of bio-signals from humans. To meet these unmet medical needs, it is crucial to have closer collaboration of the engineering and the medical fields. One approach is through the establishment of "AI Labs" attached to hospitals, which utilize robotics technology and AI to measure and support patients in actual medical settings. Some of these labs are located as described in Figure 1. These AI Labs are generating new knowledge for treating and rehabilitating various diseases. However, each AI Lab operates independently, and the knowledge and methods obtained are not standardized across organizations. To accelerate research in this field, it is essential to share the approaches for establishing novel standards. This workshop aims to establish a network of AI Labs in hospitals across five countries, as depicted in Figure 1. Through this network, we believe that engineers and medical doctors not only from these Labs, but also various researchers who are interested in this field can easily collaborate and discuss the possibilities for enhancing medical research and practice. 

Discussion Topics

In this workshop, we will begin by introducing the targets and features of the five AI Labs mentioned above. This introduction aims to foster engaging discussions with our audience regarding potential applications and opportunities for future collaborations. Following that, we have planned panel discussions on the following topics:

Panel Discussion 1

Moderator: Prof. Qi An

• Medical and Engineering benefits of AI labs located in the hospitals.

We will explore the advantages of having the medical and engineering teams co-located, as it contributes to the advancement of medical treatment. 

• Attractive approaches of other labs that can make synergistic effects.

In light of the presented targets and features, we will actively pursue synergistic effects through collaboration between the labs. We encourage the audience to contribute additional approaches and technologies, fostering a collective effort towards our common goals.

Panel Discussion2

Moderator: 

• Problems for collaboration with medical data from Ethics and Benefits.

In collaborative efforts with multiple labs, the sharing of patient data can be crucial. However, medical data contains highly sensitive personal information, necessitating strict protection measures. Therefore, a thoughtful discussion is essential to strike a balance between ethical concerns and ensuring the well-being of patients.　 

• Approaches for treatment and medical advances transcending cultural and technological backgrounds.

The cultural background of patients plays a vital role in medical treatment, significantly impacting their satisfaction and overall outcomes. While medical technologies remain universal, their successful application requires consideration of diverse cultural contexts. Understanding and respecting these differences is crucial for delivering effective, patient-centered care. Tailoring treatments based on individual preferences fosters trust and cooperation, leading to improved healthcare experiences and outcomes.