MeDA School

Connect Top Minds

3 DIMENSIONS

Construct a Complete Space for Medical AI

Freshman

I’ve always been interested in learning more about development and theory behind medical AI. MeDA lecturers shared how AI technology increases the efficiency of finding tumors in early stages. I was pleased how we could communicate with experts in person to have further insights. MeDA School broke down hard concepts and gave us a lot of practical coding training which is useful and impressive. I now have a better understanding of the medical AI industry, and how it might benefit our lives in the future. I believe that AI technology plays a crucial role in healthcare now and then. It’s amazing to have a closer look at the prosperous industry.

MeDA School

MeDA school is all based on solid research power. We devote to cultivating freshman’s interest in the medical AI industry with a tailored curriculum. The importance of communication between learners and instructors is no less important than knowledge itself. MeDA School focuses on application and provides hands-on courses that customize learners from various backgrounds. Let’s explore medical AI industry together!

Expert

For a medical professional, it is absolutely necessary to be at the forefront of technological developments in the field. We are currently at the turning point of the medical AI industry, where big data and the underlying technology have finally matured enough to support what I project to be an explosive rise of the once nascent industry. An institute that provides such training courses and insights are absolutely crucial to support the industry. MeDA School provides an environment that shares know-how behind the technology with clinics. In an age of constant and rapid change, MeDA School aims to set up a sound medical AI environment that keeps you stay ahead.

Courses

王偉仲

臺灣大學 應用數學科學研究所

人工智慧在醫學影像的分析與應用

周呈霙

臺灣大學 生物機電工程學系

醫學影像成像原理

Chien-Min Kao

Radiology, University of Chicago

Medical Imagining Modalities</s

楊欣洲

中央研究院 統計科學研究所

基因體與代謝體簡介

顏佐榕

中央研究院 統計科學研究所

深度學習

崔茂培

臺灣大學 數學系

Mini-course on Manifold Learning

洪弘

臺灣大學 公共衛生學院

智慧醫療統計基礎

Roadmap