Common Applications of Uncommon AI in Healthcare

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No one can even imagine the future of healthcare without encountering Artificial Intelligence (AI), though the field of AI been around since 1956, it has made unforgettable contributions to medical practices. Only recently has the hype of machine-based learning begun to merge with reality. Many industries have been disrupted by the influx of new technologies in the Information Age. Healthcare is no different. Particularly in the case of automation, artificial intelligence (AI) and Machine Learning, doctors, hospitals, insurance companies, retail, e-commerce, and industries with ties to healthcare, all have been impacted. And the impact is more positive and sustainable than other industries.

AI, Machine Learning and Deep Learning in HealthCare represents a collection of various technologies enabling machines to sense, comprehend, act and learn so that they can perform clinical and administrative healthcare functions. Unlike legacy technologies, that are only algorithms/ tools and complement a human, AI in HealthCare today can truly augment human activity. The healthcare industry is adopting Artificial Intelligence to solve a variety of problems for patients, hospitals and the healthcare industry overall. Take a closer look at how AI is solving problems Here are few examples of how AI is changing healthcare now and will in the future.

  •        Managing Medical Records and Other Data
  •        Doing Repetitive Jobs
  •        Treatment Design
  •        Digital Consultation
  •        Virtual Nurses
  •        Medication Management
  •        Drug Creation
  •        Precision Medicine
  •        Health Monitoring
  •      Healthcare System Analysis



These are just a few samples of what solutions AI is offering to the healthcare industry. A technology advancement is something that provides exact solutions to suppliers for increased efficiency, spare time, lower costs, and increase accuracy will be conceivable. Over time, patients will have the capacity to utilize an assortment of AI tools to care for themselves, similarly as they manage so many other aspects of their lives today. It may not occur soon. After all, efforts to produce self-driving vehicles date back to the 1950s. But at some point later on –AI will disrupt healthcare as we are aware of it. 


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