AI in Health Care: Revolutionizing Diagnostics and Cancer Treatment

Authors

  • Resna Ibrahim PG, MCA, Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India. Author
  • Najma.S PG, MCA, Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India. Author
  • Anupama Biju PG, MCA, Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India. Author
  • Jeffin George PG, MCA, Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India. Author
  • Tintu varghese Assistant Professor, Department of Computer Application, Kristu Jyoti College of Management and Technology,Changanassery, Kerala, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2024.0563

Keywords:

Here are Five Keywords from The Provided Text: Artificial Intelligence, Machine Learning, Deep Learning, Diagnostics, Cancer Treatment, Healthcare Innovation

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare, mainly in diagnostics and most cancers treatment, via improving accuracy, performance, and personalized care. Advanced gadget learning algorithms examine medical records, such as imaging scans, pathology slides, and genetic facts, to come across illnesses at in advance stages and predict patient outcomes with extraordinary precision. AI-pushed gear in radiology and pathology aid in figuring out tumors, assessing their aggressiveness, and suggesting potential remedy options. In oncology, AI models are accelerating drug discovery and enabling precision medicinal drug by means of tailoring remedies to person genetic profiles. By integrating AI with scientific workflows, healthcare structures are overcoming diagnostic demanding situations, decreasing human errors, and optimizing assets. While AI affords transformative benefits, it additionally brings moral and regulatory challenges that want to be addressed to ensure secure and effective implementation. This paper explores the modern packages of AI in diagnostics and most cancers remedy, its effect on affected person care, and the destiny path of AI in healthcare innovation.

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Published

2024-12-19