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This in-depth evaluation explores the multifaceted realm of using artificial intelligence (AI) for predicting and dealing with continual illnesses, synthesizing insights from various healthcare studies papers. The analysis spans numerous programs, along with danger scoring, genomics analysis, cognitive behavioral remedy, computational phenotyping, and more, to evaluate the effectiveness of AI-driven methodologies in addressing demanding situations posed by employing conditions together with chronic illnesses and autoimmune problems. The paper delves into key topics, including the transformative impact of AI in primary care, geriatric medical care, and the pharmaceutical sector. Moreover, ethical considerations and challenges tied to the integration of AI in healthcare are critically examined, particularly in diagnostic tools and nursing science. The study underscores the need for continuous research to strike stability between AI’s promising results in sickness management and the ethical concepts guiding affected person care. Via an exhaustive literature evaluation, this paper contributes particular insights into the current kingdom, demanding situations, and destiny potentialities of utilizing AI for predicting and handling continual sicknesses while navigating the moral issues inherent in this dynamic area.

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Evaluating the Effectiveness and Ethical Implications of Artificial Intelligence in the Prediction a Management of Chronic Diseases

  • 章节

  • 发表日期：

    2026年

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  • Abdulaziz Alghamdi,
  • Alya Alyousuf,
  • Malak Eshaq,
  • SJ. I. Ahmed,
  • Abhinay Raina,
  • Ashutosh Nautiyal,
  • Dushyant Tyagi,
  • Mayank Verma,
  • D. Varsha,
  • Hemraj Shobharam Lamkuche

摘要

This in-depth evaluation explores the multifaceted realm of using artificial intelligence (AI) for predicting and dealing with continual illnesses, synthesizing insights from various healthcare studies papers. The analysis spans numerous programs, along with danger scoring, genomics analysis, cognitive behavioral remedy, computational phenotyping, and more, to evaluate the effectiveness of AI-driven methodologies in addressing demanding situations posed by employing conditions together with chronic illnesses and autoimmune problems. The paper delves into key topics, including the transformative impact of AI in primary care, geriatric medical care, and the pharmaceutical sector. Moreover, ethical considerations and challenges tied to the integration of AI in healthcare are critically examined, particularly in diagnostic tools and nursing science. The study underscores the need for continuous research to strike stability between AI’s promising results in sickness management and the ethical concepts guiding affected person care. Via an exhaustive literature evaluation, this paper contributes particular insights into the current kingdom, demanding situations, and destiny potentialities of utilizing AI for predicting and handling continual sicknesses while navigating the moral issues inherent in this dynamic area.