ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW
Abstract & Details
Research Area
Computer Engineering
Keywords
AI
patients
treatment
diagnosis
diseases
cancer
cardiovascular diseases
neurological disorders
machine learning
natural language processing
computer vision
medical data
clinical decisions
patient outcomes
AI algorithms electronic health records
lab results
medical literature
evidence-based decisions
personalized treatment
drug interactions
safety and resource use
administrative work
patient flows
healthcare process.
Abstract
Artificial Intelligence strategic Game Changer Artificial intelligence (AI) is a technology that mimics the human brain and still healthcare keeps trending this year. This paper offers an overview of AI in healthcare, its use cases and implications specifically on diagnosis, treatment and patient care. As a result have seen better disease detection, from cancer to cardiovascular diseases and even neurological disorders that are fast becoming controllable through early identification. The complex statistics and AI of this vary a bit, but essentially it is about looking to borrow the power of machine learning, natural language processing + computer vision into analyzing wide ranging medical data — all with an eye towards getting better at clinical decision making. Benefit for patient outcomes catches our attention well toogetNode Profile. Healthcare providers use AI-powered algorithms to analyze large quantities of patient data—such as electronic health records, lab results and medical literature—to help them make more evidence-based decisions about treatment. With personalized treatment recommendations, the models can predict what outcomes a patient may experience and any adverse drug interactions that could result in higher levels of safety for patients. These technological advances improve resource use, help decrease complex administrative tasks and support patient flows that enable a more efficient healthcare process for both patients and staff.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Paleti Surekha | CMR University |
| 2 | Lavanya V | CMR University |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Surekha, Paleti & V, Lavanya (2024). ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW. International Journal of Advance Research and Innovative Ideas In Education, 10(5), 1958-1964.
MLA Style
Surekha, Paleti, and Lavanya V. "ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, 2024, pp. 1958-1964.
IEEE Style
Paleti Surekha and Lavanya V, "ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, pp. 1958-1964, 2024.
Vancouver Style
Surekha Paleti, V Lavanya. ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(5):1958-1964.
Harvard Style
Surekha, Paleti & V, Lavanya (2024) 'ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW', International Journal of Advance Research and Innovative Ideas In Education, 10(5), pp. 1958-1964.
Chicago Style
Surekha, Paleti and Lavanya V. "ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 1958-1964.
Turabian Style
Surekha, Paleti and Lavanya V. "ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 1958-1964.
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