Title:Role of Artificial Intelligence in Transforming Diagnosis, Treatment, and Patient Care: A Review
Volume: 23
Author(s): Sayad Ahad Ali, Shadab Ali*Shamim Shamim
Affiliation:
- Department of Pharmacy, IIMT College of Medical Sciences, IIMT University, Meerut, 250001, U.P., India
Keywords:
Artificial intelligence, precision medicine, predictive analytics, deep learning, personalized treatment, healthcare innovation.
Abstract:
Artificial intelligence has recently begun to expand the capabilities of precision
medicine in diverse fields of medicine. Artificial intelligence-based solutions like deep
learning, machine learning, predictive analytics, etc., have transformed disease detection,
treatment planning, and patient care horizons. In oncology, artificial intelligence assists in
early cancer diagnosis and personalized treatment protocols. In cardiology, predictive
models help diagnose diseases and prevent serious events. Artificial intelligence applications
in seizure prediction and neurodegenerative disease progression analysis enhance
neurology diagnostic and therapeutic methods. Pharmacogenomics applies artificial intelligence
in customizing drug remedies according to genetic profiling to increase therapeutic
efficiency and avoid unfavourable responses. Artificial intelligence also helps
manage neurodegenerative disorders through early diagnosis and intervention strategies.
It contributes to more precise diagnostics, better therapy efficiency, and improved prognosis
of the patients. Other significant benefits of integrating AI into clinical practice are
health administration, the analysis of medical records, and processing massive datasets in
medical research. To fully benefit from artificial intelligence, there is a need to overcome
the obstacles, including model interpretability, data privacy issues, and regulatory compliance
requirements. In this study, we examine the use of AI in precision medicine, emphasizing
developments in necessary medical fields and noteworthy results. Artificial intelligence
is transforming contemporary healthcare and building a more effective and efficient
medical system through automated decision-making, personalized treatment, and
early diagnosis.
