Real-World Applications Of Machine Learning In Healthcare

The healthcare industry has always benefited from technological advances and their offerings. From pacemakers and X-Rays to electronic CPRs and more, healthcare has been able to add value to society and its evolution immensely due to the role of technology. Taking the evolution forward at this phase of advancements is Artificial Intelligence (AI) and its allied technologies such as machine learning, deep learning, NLP, and more.In more ways than imaginable, AI and machine learning concepts are helping doctors and surgeons save precious lives seamlessly, detect diseases and concerns even before their advent, manage patients better, engage more effectively in their recovery process, and more. Through AI-driven solutions and machine learning models, organizations around the world are able to better deliver healthcare to people.But how exactly are these two technologies empowering hospitals and healthcare providers? What are the real-world tangible applications of use cases that make them inevitable? Well, let’s find out.The Role Of Machine Learning In HealthcareFor the uninitiated, machine learning is a subset of AI that allows machines to autonomously learn concepts, process data, and deliver desired results. Through different learning techniques such as unsupervised, supervised learning, and more, machine learning models learn to process data through conditions and ...


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