Authors :
Vinayak K Prasad; Hanumant P Gutte; Prashant B Ghayal; Adarsh Y Mane; Prashant Bhoir
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/bdh5zk7s
Scribd :
https://tinyurl.com/536xkakt
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV838
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Healthcare is being improved by artificial
intelligence (AI) through Better diagnostic accuracy,
enhanced clinical workflows, and improved patient safety
which was the motivation behind the research The
objective of this review was assessment of the state of the
art in AI in healthcare in terms of applications,
advantages, limitations and prospects and its role. The use
of various subfields was presented in a previous work This
study focused on literature that discuss issues related to
clinical decision support systems, medical imaging, health
informatics, predictive and distant applied medicine. The
study suggests that it is possible to enhance the quality of
diagnostics by 10-20 percent, cut down the costs by 10-15
percent and improve the patient outcomes by 15-20
percent among others. Some applications include clinical
decision support systems, medical imaging, and
computer-aided diagnosis systems, though these are not
exhaustive. Nevertheless, AI has its own challenges such
as data quality and integration, legal requirements, moral
issues, human resource development and computer
security. The next wave of AI in healthcare will come from
various advanced technologies like precision medicine,
population health management, health care robots, and
AI in mental health. Farther thinking insight relates to
analysis and management of the new challenges that are
bound to arise, management of healthcare system using
AI as well as how AI relates to health worldwide.
Keywords :
Artificial Intelligence, Medicine, Clinical DDS, Medical Imaging, Medical Analytics, E-Health.
References :
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Healthcare is being improved by artificial
intelligence (AI) through Better diagnostic accuracy,
enhanced clinical workflows, and improved patient safety
which was the motivation behind the research The
objective of this review was assessment of the state of the
art in AI in healthcare in terms of applications,
advantages, limitations and prospects and its role. The use
of various subfields was presented in a previous work This
study focused on literature that discuss issues related to
clinical decision support systems, medical imaging, health
informatics, predictive and distant applied medicine. The
study suggests that it is possible to enhance the quality of
diagnostics by 10-20 percent, cut down the costs by 10-15
percent and improve the patient outcomes by 15-20
percent among others. Some applications include clinical
decision support systems, medical imaging, and
computer-aided diagnosis systems, though these are not
exhaustive. Nevertheless, AI has its own challenges such
as data quality and integration, legal requirements, moral
issues, human resource development and computer
security. The next wave of AI in healthcare will come from
various advanced technologies like precision medicine,
population health management, health care robots, and
AI in mental health. Farther thinking insight relates to
analysis and management of the new challenges that are
bound to arise, management of healthcare system using
AI as well as how AI relates to health worldwide.
Keywords :
Artificial Intelligence, Medicine, Clinical DDS, Medical Imaging, Medical Analytics, E-Health.