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Exploring the Impact of Artificial Intelligence in Healthcare

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  • Md. Mafiqul Islam

Abstract

The integration of artificial intelligence (AI) applications has revolutionized healthcare. This study conducts a comprehensive literature review to elucidate the multifaceted role of AI in healthcare, focusing on key aspects including medical imaging and diagnostics, virtual patient care, medical research and drug discovery, patient engagement and compliance, rehabilitation, and administrative applications. AI's impact is observed across various domains, including detecting clinical conditions in medical imaging, early diagnosis of coronavirus disease 2019 (COVID-19), virtual patient care utilizing AI-powered tools, electronic health record management, enhancing patient engagement and treatment compliance, reducing administrative burdens for healthcare professionals (HCPs), drug and vaccine discovery, identification of medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. However, the integration of AI in healthcare encounters several technical, ethical, and social challenges, such as privacy concerns, safety issues, autonomy and consent, cost considerations, information transparency, access disparities, and efficacy uncertainties. Effective governance of AI applications is imperative to ensure patient safety, accountability, and to bolster HCPs' confidence, thus fostering acceptance and yielding significant health benefits. Precise governance is essential to address regulatory, ethical, and trust concerns while advancing the adoption and implementation of AI in healthcare. With the onset of the COVID-19 pandemic, AI has sparked a healthcare revolution, signaling a promising leap forward to meet future healthcare demands.

Suggested Citation

  • Md. Mafiqul Islam, 2024. "Exploring the Impact of Artificial Intelligence in Healthcare," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 228-238.
  • Handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:228-238:id:109
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    References listed on IDEAS

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    1. José Gabriel Carrasco Ramírez & Md.mafiqul Islam, 2024. "Application of Artificial Intelligence in Practical Scenarios," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 14-19.
    2. Mithun Sarker, 2024. "Revolutionizing Healthcare: The Role of Machine Learning in the Health Sector," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 36-61.
    3. Nicolas Guzman Camacho, 2024. "The Role of AI in Cybersecurity: Addressing Threats in the Digital Age," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 143-154.
    4. Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 91-100.
    5. Jeff Shuford & Md.Mafiqul Islam, 2024. "Exploring Current Trends in Artificial Intelligence Technology An Extensive Review," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 1-13.
    6. Dr. José Gabriel Carrasco Ramírez. & Md.Mafiqul Islam & ASM Ibnul Hasan Even, 2024. "Machine Learning Applications in Healthcare: Current Trends and Future Prospects," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1).
    7. Jeff Shuford, 2024. "Interdisciplinary Perspectives: Fusing Artificial Intelligence with Environmental Science for Sustainable Solutions," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1), pages 106-123.
    8. Md.mafiqul Islam, 2024. "Artificial Intelligence Exploring Its Applications across Industries," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 20-24.
    9. Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 106-115.
    10. Harish Padmanaban, 2024. "Revolutionizing Regulatory Reporting through AI/ML: Approaches for Enhanced Compliance and Efficiency," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 71-90.
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