Acta Scientific Computer Sciences

Short Communication Volume 3 Issue 10

Deep Learning Advancements in Healthcare

Raghunandan Reddy Alugubelli*

H. Lee Moffitt Cancer Center and Research Institute, Florida, USA

*Corresponding Author: Raghunandan Reddy Alugubelli, H. Lee Moffitt Cancer Center and Research Institute, Florida, USA.

Received: August 21, 2021; Published: September 06, 2021

Keywords: Machine Learning; Deep Learning; Healthcare; Google

Machine learning is a broad term, and deep learning is a type of machine learning. The deep learning name originated from the use of many layers in the algorithmic network. Deep learning architecture is applied to various areas such as computer vision, natural language processing, image processing, speech recognition. The industry and academia’s interest in AI have propelled the advancements in the last decade. Silicon Valley industries such as Google, Facebook, IBM, and research institutions are spearheading most of these advancements. TensorFlow is one of the most popular AI projects from Google. It is an open-source platform that has APIs so that the solutions can be implemented across various platforms. Python’s scikit-learn and torch are other open-source platforms that opened here. Several modern deep learning techniques also originated.

Bibliography

  1. “Google works with Aravind Eye Hospital to deploy AI that can detect eye disease”.
  2. “3 Ways Google Is Taking Healthcare Tech to New Heights”.

Citation

Citation: Raghunandan Reddy Alugubelli. “Deep Learning Advancements in Healthcare". Acta Scientific Computer Sciences 3.10 (2021): 20.

Copyright

Copyright: © 2021 Raghunandan Reddy Alugubelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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