The rapid
advancement of Artificial Intelligence (AI) technologies has initiated a
paradigm shift in healthcare, particularly in the realms of medical diagnosis
and treatment. This study provides a comprehensive academic examination of how
AI, through subfields such as machine learning, deep learning, and natural
language processing, is revolutionising clinical decision-making, diagnostic
precision, and individualised patient care. The work systematically explores
AI's integration into key healthcare domains, including medical imaging,
predictive analytics, personalised medicine, and robotic surgery. Specific
attention is given to the application of convolutional neural networks (CNNs)
in radiology, pathology, and dermatology, where AI systems now rival human
experts in diagnostic accuracy.
Furthermore,
this research highlights the predictive power of AI in identifying the onset of
chronic and neurodegenerative diseases by leveraging electronic health records
(EHRs), genomic data, and wearable technologies. In personalised medicine, AI
facilitates pharmacogenomic profiling and individualised oncology treatment
strategies. The integration of AI in surgical robotics is also examined,
emphasising improvements in intraoperative precision and post-operative
monitoring.
While the
potential of AI is vast, the study also addresses significant challenges,
including data privacy, algorithmic bias, lack of transparency, and regulatory
hurdles. Ethical and legal considerations are critically analyzed, underscoring
the need for fair, interpretable, and accountable AI systems. The final
chapters focus on future directions, such as multimodal data integration,
explainable AI (XAI), federated learning, and human-AI collaboration, which are
poised to shape the next generation of healthcare solutions.
This
research concludes with policy recommendations and strategic priorities to
guide responsible AI deployment in clinical environments, advocating for
interdisciplinary collaboration and robust governance frameworks. The findings
underscore AI’s transformative potential in medicine, while emphasizing the
importance of ethical oversight and equity in technological advancement.
Author(s) Details
Dr. Rooth Vasantha Medapati
Human Genetics
Department, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Dr. V.Raja Babu
Sun Institute of
Paramedical Sciences, Pendurthi, Visakhapatnam, Andhra Pradesh, India.
Prof. Saritha Medapati
Vignan Institute of
Pharmaceutical Technology, Duvvada, Visakhapatnam, Andhra Pradesh, India.
Dr. D.Udaya Kumar
Human Genetics
Department, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Please see
the book here:- https://doi.org/10.9734/bpi/mono/978-81-989371-9-3
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