Find all of the Ai In Healthcare posts here.
In this article, I demystified AI in Healthcare and also added some updates and trends in AI technologies like AutoML, Transfer Learning, MLOps, Federated & Swarm Learning, etc.
The synergy behind virtual care and AI in Healthcare needs to be expanded. Virtual Care needs a digital strategy as it will serve as the data pipeline for AI in Healthcare. It will give birth to learning healthcare system
Despite current challenges, these synergistic technologies hold immense promise in enhancing the clinician experience, helping to reduce physician burnout while improving patient health outcomes at a lower cost. This brief overview discusses the multifaceted potential of AI use in telestroke.
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.
* Edge Computing in Healthcare * The EU Artificial Intelligence Act * Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit * WhatsApp Tele-Medicine – usage patterns and physicians views on the platform
In this article, we will discuss ambient intelligence in healthcare.
* Ambient Intelligence in Healthcare! * Machine learning in clinical decision making * What is Vertex AI? * Code-free deep learning for multi-modality medical image classification
NLP and its applications are significantly important as we move forward with digitizing healthcare.
NLP tools have recently had major breakthrough is "Context" awareness . This opens up significant opportunity in Healthcare Digitization and intelligent EMR
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.
ANIMATION Explainer of how stroke care can be transformed by convergence of Virtual Care and Artificial Intelligence
Artificial Intelligence to Diagnose Afib during Sinus Rhythm
We as physicians need to protect our autonomy and self-identity in the era of mass adoption and simultaneously realize and educate ourselves of the great potential of AI in healthcare for our patients.
Machine Learning for Detecting Early Infarction in Stroke with NCCT
Machine Learning in Healthcare - A Primer for Physicians