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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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AI in Modern Healthcare-Revolutionizing Diagnosis, Treatment, and Patient Care

Author(s):Arjun Mehta¹, Priyanka Nair², Anjali Krishna3

Affiliation: ¹²³ Department of Biomedical Informatics & Health Technology, All India Institute of Medical Sciences, New Delhi, India

Page No: 16-25

Volume issue & Publishing Year: Volume 3 Issue 1 , 2026-01-18

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
The integration of Artificial Intelligence into healthcare systems represents one of the most significant technological revolutions in modern medicine. This comprehensive research article examines the multifaceted applications of AI across the healthcare continuum, from diagnostic imaging and predictive analytics to personalized treatment planning and robotic surgery. Through an extensive analysis of current implementations, clinical trials, and emerging technologies, we demonstrate how machine learning algorithms, natural language processing, and computer vision are transforming medical practice. The study employs a mixed-methods approach, combining quantitative analysis of clinical outcome data from multiple healthcare institutions with qualitative assessments from medical practitioners and patients. Our findings reveal that AI-powered diagnostic systems achieve an average accuracy improvement of 27% over traditional methods in detecting conditions such as diabetic retinopathy, lung cancer, and neurological disorders. Furthermore, AI-driven predictive models have demonstrated the ability to forecast patient deterioration up to 48 hours earlier than conventional monitoring systems, potentially reducing ICU mortality rates by 15-20%. The research also explores the significant impact of AI on drug discovery, with deep learning models reducing preclinical development timelines by approximately 30% and identifying novel therapeutic compounds for rare diseases. Despite these advancements, the study critically examines substantial challenges including algorithmic bias in diverse patient populations, data privacy concerns, regulatory hurdles, and the ethical implications of autonomous medical decision-making. We propose a comprehensive framework for responsible AI implementation in healthcare, emphasizing the importance of human-AI collaboration, transparent algorithm development, and robust validation protocols. The paper concludes that while AI will fundamentally reshape healthcare delivery, its successful integration requires careful consideration of technological limitations, ethical boundaries, and the preservation of the physician-patient relationship.

Keywords: Artificial Intelligence in Healthcare, Medical Diagnosis, Predictive Analytics, Personalized Medicine, Robotic Surgery, Healthcare Technology, Medical Imaging, AI Ethics in Medicine

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