Artificial Intelligence in HealthCare Industry!

AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence such as learning and problem solving. Machine learning, a subset of AI, allow computers to learn to perform tasks without being explicitly programmed. Machine Learning is a self-adaptive algorithm that gets better and better analyzing patterns with experience or with newly added data. Machine learning algorithms work to identify patterns in data and create models that predict or classify specific outcomes.

AI capabilities can be broken down into Narrow AI and General AI. Narrow AI algorithms solve a tightly defined task such as finding pneumonia in an x-ray, but have no ability outside of that specific problem. General AI is a flexible intelligence that can understand context, quickly adapt to new situations, and apply knowledge learned from other domains. Most progress to date has been in Narrow AI.

AI applications have become common at home and in the healthcare industry, e.g. Siri & Alexa. IBM Watson-Oncology has picked drugs for treatment of cancer patients with equal or better efficiency than human experts. United Kingdom's National Health Service (NHS) used Google's DeepMind platform for detecting health risks by analyzing mobile app data and medical images collected from NHS patients. Stanford's radiology algorithm picked up pneumonia better than human radiologists.