AI in healthcare: Predictive diagnostics

When it comes to increasing the accuracy of medical diagnoses, reducing worker burnout, and providing cheaper universal healthcare, AI seems like a natural solution. AI appears to have secured a prominent role in the medical industry as both entrepreneurs and policymakers extol the immense potential in incorporating machine learning and deep neural networks into a doctor's daily routine. Decades worth of medical data collected from every appointment, procedure, and survey sit untouched in databases while algorithms wait hungrily for training data. Prominent applications of AI in predictive diagnostics lie in image-based diagnostics and preemptive predictions through machine learning. Amidst the bustling excitement over the applications of AI in healthcare, the medical industry maintains its slow and sluggish pace in adopting new technologies.