UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 12 Issue 1
January-2025
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2501474


Registration ID:
554179

Page Number

e565-e572

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Title

Amalgamation of Artificial Intelligence and Traditional Indian Medicine for Sensitization of Benign Prostatic Hyperplasia in Public Health

Abstract

Amalgamation of Artificial Intelligence (AI) and Traditional Indian Medicine (TIM) presents a novel approach to addressing Benign Prostatic Hyperplasia (BPH) within the realm of public health. BPH is a common condition more among aged men that involves hyperplasia of the prostate, causing urinary complications and significantly impacting the quality of life. Early detection and management are pivotal in mitigating severe health outcomes. Traditional Indian Medicine, particularly Ayurveda, offers a range of natural remedies, including herbal treatments, dietary and lifestyle modifications, and holistic practices such as yoga and meditation, aimed at managing BPH symptoms. AI enhances the efficacy of TIM through advanced data analytics, predictive modelling, and personalized healthcare solutions. Predictive analytics can utilize patient medical histories and lifestyle to identify, assist, and sensitize those groups who are more prone to developing Benign Prostatic Hyperplasia or those who are under treatment, facilitating early intervention. Diagnostic tools powered by machine learning algorithms can analyze clinical symptoms and medical imaging to assist in accurate and timely diagnosis. Furthermore, AI can customize TIM treatments to fit the unique health profiles of patients, ensuring a personalized approach that maximizes therapeutic outcomes. Continuous monitoring and follow-up care are critical for managing BPH effectively. AI-driven mobile applications and wearable devices can track patient symptoms, treatment adherence, and lifestyle factors in real-time. This continuous data collection allows for dynamic adjustments to treatment plans and provides healthcare providers with actionable insights into patient progress. By integrating AI's predictive and analytical capabilities with the holistic, patient-centred approach of TIM, this combined methodology can enhance the overall management of BPH, promoting better health outcomes and improving patients' quality of life. The conglomeration of Artificial Intelligence and TIM conforms a significant advancement in public health strategies for BPH. It leverages the strengths of modern technology and traditional practices to offer a comprehensive, effective, and personalized approach to healthcare. This synergy encourages the sensitization and early detection of BPH and also paves the way for innovative treatment methodologies that can be adapted to various other health conditions.

Key Words

AI in Public Health, Technology Integration for Benign Prostatic Hyperplasia Awareness, Sensitization of Benign Prostatic Hyperplasia, Artificial Intelligence in Benign Prostatic Hyperplasia Diagnosis, Traditional Indian Medicine for Benign Prostatic Hyperplasia Education.

Cite This Article

"Amalgamation of Artificial Intelligence and Traditional Indian Medicine for Sensitization of Benign Prostatic Hyperplasia in Public Health ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e565-e572, January-2025, Available :http://www.jetir.org/papers/JETIR2501474.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

"Amalgamation of Artificial Intelligence and Traditional Indian Medicine for Sensitization of Benign Prostatic Hyperplasia in Public Health ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe565-e572, January-2025, Available at : http://www.jetir.org/papers/JETIR2501474.pdf

Publication Details

Published Paper ID: JETIR2501474
Registration ID: 554179
Published In: Volume 12 | Issue 1 | Year January-2025
DOI (Digital Object Identifier):
Page No: e565-e572
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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