Artificial Intelligence Applied Cancer Detection : Potential and Barriers

Authors

  • Mrs. Payal D Bhavsar  Assistant Professor, Department of Computer Science, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar, Gujarat, India
  • Dr. Darshanaben Dipakkumar Pandya  Assistant Professor, Department of Computer Science, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar, Gujarat, India
  • Hansaben Haribhai Patel  Faculty, Electrical Department, SSPC, Sankalchand Patel University
  • Dr. Abhijeetsinh Jadeja  I/C Principal, Department of Computer Science, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar, Gujarat, India

DOI:

https://doi.org/10.32628/IJSRST52310666

Keywords:

AI, Handling, Cancer Detection, AI psychotherapists

Abstract

This study looks into the possibilities and related challenges of using artificial intelligence (AI) to identify cancer. AI technologies have become attractive tools in oncology because of the growing complexity of medical data and the need for precise and timely cancer diagnosis. In reviewing the state of AI applications for cancer detection today, the paper focuses on biomarker analysis, medical imaging, and biomarker analysis. Additionally continuing conversation on how to use technology to improve cancer diagnostics' efficiency and accuracy while maintaining ethical norms and patient safety.

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International Journal of Scientific Research in Science and Technology

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Published

2024-02-29

Issue

Volume 11, Issue 1, January-February-2024

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrs. Payal D Bhavsar, Dr. Darshanaben Dipakkumar Pandya, Hansaben Haribhai Patel, Dr. Abhijeetsinh Jadeja "Artificial Intelligence Applied Cancer Detection : Potential and Barriers" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 11, Issue 1, pp.117-120, January-February-2024. Available at doi : https://doi.org/10.32628/IJSRST52310666