Author(s):
Lakshmidevi Sigatapu, S. Sundar, K. Padmalatha, Sravya. K, D. Ooha, P. Uha Devi
Email(s):
vipwlakshmidevi77@gmail.com
DOI:
10.52711/2231-5713.2023.00039 
Address:
Lakshmidevi Sigatapu, S. Sundar, K. Padmalatha, Sravya. K, D. Ooha, P. Uha Devi
Department of Pharmacology, Vijaya Institute of Pharmaceutical Sciences for Women, Enikepadu, Vijayawada, Krishna (Dt), Andhra Pradesh, India.
*Corresponding Author
Published In:
Volume - 13,
Issue - 3,
Year - 2023
ABSTRACT:
Artificial intelligence (AI) has been developing fleetly in recent times in terms of software algorithms, tackle preparation, and operations in a vast number of areas. In this review, we epitomize the rearmost of operations of AI in biomedicine, including complaint diagnostics, living backing, biomedical information processing, and biomedical exploration. The end of this review is to keep track of new scientific accomplishments, to understand the vacuity of technologies, to appreciate the tremendous eventuality of AI in biomedicine, and to give experimenters in affiliated field’s alleviation. It can be asserted that, just like AI itself, the operation of AI in biomedicine is still in its early stage. New progress and improvements will continue to push the frontier and widen the compass of AI operations, and fast developments are envisaged in the near future.AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions. Artificial intelligence (AI) is gradationally changing medical practice. With recent progress in digitized data accession, machine literacy and computing structure, AI operations are expanding into areas that were preliminary allowed to be only the fiefdom of mortal experts. In this Review composition, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and epitomize the profitable, legal and counteraccusations of AI in healthcare.
Cite this article:
Lakshmidevi Sigatapu, S. Sundar, K. Padmalatha, Sravya. K, D. Ooha, P. Uha Devi. Artificial Intelligence in Healthcare- An Overview. Asian Journal of Pharmacy and Technology. 2023; 13(3):218-2. doi: 10.52711/2231-5713.2023.00039
Cite(Electronic):
Lakshmidevi Sigatapu, S. Sundar, K. Padmalatha, Sravya. K, D. Ooha, P. Uha Devi. Artificial Intelligence in Healthcare- An Overview. Asian Journal of Pharmacy and Technology. 2023; 13(3):218-2. doi: 10.52711/2231-5713.2023.00039 Available on: https://ajptonline.com/AbstractView.aspx?PID=2023-13-3-12
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