Artificial Intelligence and Machine Learning in Health Sector

 

Machine Learning and especially Artificial Intelligence can give the medical and healthcare sector a massive boost. Digitalization could transform healthcare systems to become more sustainable and cheaper, faster, and more effective. It could even win us the battle against diseases like AIDS or Ebola or lead to healthier individuals and communities.

It is important to note that healthcare needs to shift to be more technology-intensive amid this pandemic now more than ever, and the healthcare industry's current state will allow AI to thrive once integrated. 




Besides Artificial Intelligence, the most prevalent technologies used in the healthcare sector include virtual reality, augmented reality, healthcare trackers, genome sequence, medical tricorder, nanotechnology, robotics, and 3-D printing. All these accounts for machine learning in the healthcare sector would almost certainly lead to cost reduction and increased time efficiency. 

For instance, the conventional drug development process is time-consuming and expensive. However, the introduction of Artificial Intelligence in drug development could completely revolutionize the process and make it cheaper and faster. Also, artificial intelligence can deduce results based on the large amounts of electronically collected data.  

(Drug discovery development and preclinical research alone can take as long as 6 years, making the whole process of drug development really long.)



Comments

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