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.)
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