UGC Approved Journal no 63975(19)

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Published in:

Volume 3 Issue 11
November-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701B39


Registration ID:
535893

Page Number

218-222

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Title

AN INNOVATIVE STUDY EXPLORING REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE DIAGNOSTIC TECHNIQUES AND INDIVIDUALIZED TREATMENT

Abstract

The key objective of this study is to fill the gap between personalized medicine and healthcare that currently exists by integrating forecasting diagnosis channels and individualized treatment made possible by artificial intelligence (AI). With advancements in big data analytics, machine learning, and deep neural networks, this research explores how AI can revolutionize healthcare by facilitating exact predictions of disease risk, diagnosis, and treatment response tailored to each patient. For instance, AI includes implementing deep neural networks for dermatologist-level classification of skin cancer and AI usage in cardiology for risk prediction and diagnosis [1]. This study outlines the existing literature and recently challenging issues in technology to explain the opportunities that AI-based personalized medicine will offer people to improve the outcome of their health, reduce the wastage of resources, and, lastly, minimize health inequalities. Secondly, this paper looks at the implications of personalized medicine approaches on the US healthcare system regarding managing chronic conditions like diabetes [1]. Today, personalized treatment plans based on the patient profile are preferred over one medication regime for all patients. Similarly, it also underscores the potential for better productivity, cost reduction, and patient-oriented treatment. Ultimately, it serves to outline the future of personalized medicine in the US with particular emphasis on two main topics, which are the persisting challenges and the opportunities for further development and adoption of such technology, such as integration of genomic data into clinical decision making to fit treatment of cancer patients.

Key Words

Healthcare, Patient outcomes, health disparities, artificial intelligence, personalized medicine, machine learning, chronic conditions, genomic data, U.S Healthcare System, AI systems, Disease Diagnosis

Cite This Article

"AN INNOVATIVE STUDY EXPLORING REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE DIAGNOSTIC TECHNIQUES AND INDIVIDUALIZED TREATMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 11, page no.218-222, November-2016, Available :http://www.jetir.org/papers/JETIR1701B39.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AN INNOVATIVE STUDY EXPLORING REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE DIAGNOSTIC TECHNIQUES AND INDIVIDUALIZED TREATMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 11, page no. pp218-222, November-2016, Available at : http://www.jetir.org/papers/JETIR1701B39.pdf

Publication Details

Published Paper ID: JETIR1701B39
Registration ID: 535893
Published In: Volume 3 | Issue 11 | Year November-2016
DOI (Digital Object Identifier):
Page No: 218-222
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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