Authors :
Debashish Padhi
Volume/Issue :
Volume 7 - 2022, Issue 9 - September
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3dl5HZ1
DOI :
https://doi.org/10.5281/zenodo.7089672
Abstract :
- AI is transforming the world in every walk of
life. It is collection of technologies that in future will
probably rule the entire world. AI is a technology that
thinks like human, learns like human but performs like
super-human. In this paper, we will discuss about the
application of AI in healthcare industry and all the pros
and cons it is having, starting from decision making to
integrating information, analysing data and use of its own
results to improve itself. The technologies like Magnetic
Resonance Imaging (MRI), Computed Tomography Scan
(CT scan), are a part of AI that’s been widely used in
healthcare industry. The use of automated classification
techniques like Machine Learning and Natural Language
Processing has proved greater accuracies than manual
classification. AI’s aid the physicians in countless ways in
health care industries. There are certain limitations and
demerits of AI too. AI can’t be trusted since it’s a
technology that can be tampered. Privacy of patients is
also a matter of concern. There is lack of transparency in
performing certain jobs. Mainly certain diseases are
focused only now days. The ways to improve are discussed
here and new ideas are proposed for its betterment and
fast growth.
Keywords :
Artificial Intelligence; health; machine learning; deep learning; artificial neural network; MRI; CT scan; supervised learning; semi-supervised learning; medicine.
- AI is transforming the world in every walk of
life. It is collection of technologies that in future will
probably rule the entire world. AI is a technology that
thinks like human, learns like human but performs like
super-human. In this paper, we will discuss about the
application of AI in healthcare industry and all the pros
and cons it is having, starting from decision making to
integrating information, analysing data and use of its own
results to improve itself. The technologies like Magnetic
Resonance Imaging (MRI), Computed Tomography Scan
(CT scan), are a part of AI that’s been widely used in
healthcare industry. The use of automated classification
techniques like Machine Learning and Natural Language
Processing has proved greater accuracies than manual
classification. AI’s aid the physicians in countless ways in
health care industries. There are certain limitations and
demerits of AI too. AI can’t be trusted since it’s a
technology that can be tampered. Privacy of patients is
also a matter of concern. There is lack of transparency in
performing certain jobs. Mainly certain diseases are
focused only now days. The ways to improve are discussed
here and new ideas are proposed for its betterment and
fast growth.
Keywords :
Artificial Intelligence; health; machine learning; deep learning; artificial neural network; MRI; CT scan; supervised learning; semi-supervised learning; medicine.