Medication decision as a reinforcement learning problem
Dr. Komorowski gives a brief explain and few example of reinforcement learning. There are some challenges in medical area. Using an example of AI in video games, Dr. Komorowski discuss …
Course: Artificial Intelligence (AI) In Healthcare: Opportunities and Challenges
Privacy in the age of medical big data
Read the article here Big data has fundamentally changed the way organizations manage, analyze and leverage data in any industry. One of the most promising fields where big data can …
The Challenges of Artificial Intelligence in Healthcare
Dr. Alon Dagan is an Emergency Medicine Physician with a background in Biomedical Engineering. In addition to working clinically, he is an Instructor of Emergency Medicine at Harvard Medical School …
A guide to deep learning in healthcare
Many of the industry’s deep learning headlines are currently related to small-scale pilots or research projects in their pre-commercialized phases. Some of the most promising use cases include innovative patient-facing …
Semantic Data for Artificial Intelligence
Dr. Adam Chee is a convergence scientist working on various aspects of Health (& Care), Informatics, Innovation, Technologies and Business aspects of the ecosystem while serving as the people’s conduit. …
Fighting the imprecision in medicine using AI
Dr. Yu-Chuan (Jack) Li will talk about fighting the imprecision in medicine with AI and HIT. We will discuss how can AI solve current health care problems and improve diagnosis …
History of AI and Common AI algorithms
Dr. Yu-Chuan Jack Li will explore topics: History of AI and common AI algorithms. Common AI algorithms such as machine learning, artificial neural networks will be discussed in the activity. …
The History of Artificial Intelligence
Read this article here. How does the AI start in the first place? The origins of AI can backdate to 1950s. You can find out more information of the history …
Clinical Intervention Prediction and Understanding using Deep Networks
Read the full article here. The article describes the application of deep learning for prediction and understanding of clinical interventions in the intensive care unit. Check on the content. Real-time …
Artificial Intelligence in Medical application: an Exploration
Read the full article here This paper explores the potential of artificial intelligence techniques, particularly for web-based medical applications. In addition, a model for web-based medical diagnosis and prediction is …
How AI bias really happens
Here is an article explain how AI bias happened and why it’s so hard to fix. Based on the example we have heard so far, we learn AI bias can …
Possibilities of Artificial Intelligence in Healthcare
Dr. Leo Anthony Celi has practiced medicine on three continents, giving him broad perspectives in healthcare delivery. He founded and co-directed Sana at the Computer Science and Artificial Intelligence Laboratory …
AI-Based Prediction of Clinical Events Among Hemodialysis Patients Using Non-Contact Sensor Data
Read the full article here This article presents an example of how artificial intelligence techniques can be applied to predict clinical events among haemodialysis patients. Non-contact sensors are gaining popularity …
Conclusion to AI for Healthcare and key challenges
This concludes the first session. We have talked about what is AI and its application in healthcare. Feel free to share some of the key points you have learned or …
Introduction to AI for Healthcare and key challenges
This video will introduce what is AI and its application in healthcare. With a wide range of benefits, there are also several challenges faced in the application of AI in …
These articles are from the online course:
Artificial Intelligence (AI) In Healthcare: Opportunities and Challenges
