Artificial Intelligence: Applications in Healthcare Industry

  • T. Pallavi KL University, Guntur, Andhra Pradesh, India.
  • A. Lakshmana Rao Professor & Principal, V. V. Institute of Pharmaceutical Sciences, Gudlavalleru, Andhra Pradesh, India.
  • T. Bhanuteja School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA.
  • T.E.G.K. Murthy Professor & Principal, Bapatla College of Pharmacy, Bapatla, Andhra Pradesh, India.
Keywords: Artificial Intelligence, Technologies, Healthcare, Treatment.


Artificial intelligence (AI) is becoming a core part of the digital health systems to shape and support modern medicine. The situations such as pandemic COVID-19 pressing health systems to consider technology, such as artificial intelligence powered clinical decision support for faster and more informed decisions. AI utilises machine learning models to search medical data and uncover insights to improve health outcomes and patient experiences. AI is mainly used for clinical decision support and imaging analysis. Clinical decision support tools help the physician to take decisions about treatments, medications, physical and psychological health and other patient needs by providing quick access to information or research that's relevant to their patient. In medical imaging, AI tools are used to analyze CT scans, X-rays, MRIs and other images/ findings that a human radiologist might miss. Many healthcare organizations around the world started field-testing new AI-supported technologies to overcome the challenges like COVID-19 pandemic created. Various healthcare applications with AI are presented in this article.


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How to Cite
T. Pallavi, A. Lakshmana Rao, T. Bhanuteja, T.E.G.K. Murthy. Artificial Intelligence: Applications in Healthcare Industry. IJRAPS [Internet]. 2022Jul.30 [cited 2024Apr.14];6(5):622-7. Available from: