Find all of the Ai In Healthcare posts here.
Digital transformation has enabled new breakthrough economic activity. Industry 4.0 is the convergence of different technologies to enable new experiences digitally. Here we explore what constitutes Industry 4.0
Artificial intelligence as Service (AIaaS) in healthcare will be Plug-n-play modular services to enhance and enable new competencies. This will bridge production gap and needed Precision of Evidence
In this blog, Dr. Junaid, discussed Lesson 1 of Module 1 from the course "Decide Wisely: A Guide to Choosing A Medical Specialty In The Post-Pandemic Digital Healthcare Era".
In this article, we will be discussing the importance of Neurology.
Edge Computing in Healthcare in healthcare has great promise. 1) Privacy 2) Security 3) Decrease latency and 4) Increase engagement.
In this article, we will discuss ambient intelligence in healthcare.
NLP and its applications are significantly important as we move forward with digitizing healthcare.
This article would be a testimonial to the review course - Artificial Intelligence in Medicine offered by American Board of Artificial Intelligence and Medicine.
Dr. Gerald Loeb is Professor of Biomedical Engineering and Director of the Medical Device Development Facility at the University of Southern California.
Artificial Intelligence to Diagnose Afib during Sinus Rhythm
Machine Learning for Detecting Early Infarction in Stroke with NCCT
Machine Learning in Healthcare - A Primer for Physicians