Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

The Role of Artificial Intelligence in Healthcare

A Comparative Analysis in India and Asean Countries

Datos Bibliográficos

ID20042732
AutoresVarnesh Ghildiyal (Hemwati Nandan Bahuguna Garhwal University), Himani Sharma (0009-0007-0443-1050, COER University), Mahendra Babu Kuruva (Hemwati Nandan Bahuguna Garhwal University)
Año2025
Páginas21-34
Fecha de publicación2025-08-06
Peer ReviewedSí
Open AccessNo
TipoCHAPTER
RevistaWeb 3. 0 Unleashed (SOURCE_BOOK)
EditorialEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/978-1-83708-724-220251002
OpenAlexW4413136015
ISBN9781837087242
IdiomaEN
Referencias citadas41

This study examines the revolutionary potential of artificial intelligence (AI) by providing a comprehensive analysis of the healthcare environments in India and the Association of Southeast Asian Nations (ASEAN) region. With population growth and resource scarcity, AI has become a powerful force for transformation in the healthcare industry. This chapter demonstrates the existing status of healthcare, examines a variety of AI applications, and closely examines integration prospects and barriers through a thorough literature review. The intricate obstacles that the healthcare systems in India and ASEAN must overcome are framed by regional barriers to AI integration. The literature evaluation reveals strategic applications to address various healthcare concerns and covers the following topics: telehealth, customized medicine, predictive analytics, and diagnostic tools. This research contributes to a thorough understanding of the intricacies involved in integrating AI by critically examining ethical, legislative, and technological challenges, while also identifying regional differences in India and ASEAN. The report concludes by summarizing important findings and highlighting AI’s revolutionary potential in the medical field. It promotes a reasonable strategy, addresses difficulties and moral dilemmas, and makes suggestions for legislators, medical professionals, and researchers on how to fully utilize AI. The whole analysis is summarized in this abstract, which adds to the conversation on using AI to address the particular healthcare dynamics in these areas

Economic growth · Economics · Health care · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI

  • Revolutionizing healthcare

    Open Access•Shuroug A Alowais, Sahar S Alghamdi et al.•BMC Medical Education•2023

  • Dermatologist-level classification of skin cancer with deep neural networks

    Open Access•Andre Esteva, Brett Kuprel et al.•Nature•2017

  • Machine Learning in Medicine

    Alvin Rajkomar, Jeffrey Dean et al.•New England Journal of Medicine•2019

  • Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

    Varun Gulshan, Lily Peng et al.•JAMA•2016

  • Covid-19 and Health Care’s Digital Revolution

    Sirina Keesara, Andrea Jonas et al.•New England Journal of Medicine•2020

  • AI4People—An Ethical Framework for a Good AI Society

    Open Access•Luciano Floridi, Josh Cowls et al.•Minds and Machines•2018

  • Threats by artificial intelligence to human health and human existence

    Open Access•Frederik Federspiel, Elisa Gagnon et al.•BMJ Global Health•2023

  • Cost-utility analysis of medication review with follow-up for cardiovascular outcomes

    Open Access•Antonio Ahumada-Canale, Constanza Vargas et al.•Health Policy•2021

  • Beyond bias and discrimination

    Open Access•Benedetta Giovanola, Simona Tiribelli•AI & Society•2022

  • Oxygen delivery systems for adults in Sub-Saharan Africa

    Open Access•Neelima Navuluri, Maria L Srour et al.•Journal of Global Health•2021

  • Artificial intelligence in local government services

    Open Access•Tan Yigitcanlar, Rita Yi Man Li et al.•Government Information Quarterly•2023

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae