deep-learning algorithms in healthcare
Deep learning has become part of our lives just as kale and reusable cups In the last couple of years, the number of A.I related studies, research projects, university courses, and companies has grown exponentially, not to speak about the rapid improvement in the precision of the technology. From recent news, we all know that Microsoft bought AI speech tech firm Nuance, bolstering the tech giant’s prowess in voice recognition and giving it further leverage in the health care market.
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AI In Healthcare is inevitable. A.I. is going to change healthcare as we know it : Few medical specialties where A.I. is already making a difference in.. 1) Radiology 2) Dermatology 3) Oncology 4) Cardiology The most significant advancement thus far in the field is that of “deep learning,” a subcategory of machine learning that attempts to mimic the way the human brain learns new concepts.
A simple definition of deep learning is when a system or algorithm is given a large data set, and told to look for patterns, without being programmed how to differentiate between the patterns. Andreessen Horowitz general partner Vijay Pande reflects on all this and more |
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What is a medicine, really? From the days of aspirin from willow bark, medicine is as old as humanity itself: something humans have been discovering, designing, and creating for ages to help heal ourselves. But now, thanks to technology, we’re entering an entirely new age where the very definition of what a medicine is, is changing Number of medical A.I. studies by year from 2010 to 2020 and by medical specialties.
The number of studies as found on Pubmed.com using the search term)“machine learning” OR “deep learning”) and choosing a year in advanced search. The same search method was used followed by (AND specialty) without specifying a time frame. The number in the circles determine how many studies were found. |
III of III : AI & ML in medicine :
Image Source:: https://www.nature.com/articles/s41746-020-00333-z
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