The Role of Artificial Intelligence in Early Diagnosis and Treatment of Cancer

Authors

  • Vandana Yadav, Dr. Shakeel Ahmad, Dr. Piyush Pippal, Hyzil J B, Dr. Mainak Roy Author

DOI:

https://doi.org/10.48047/qyczdf43

Keywords:

Artificial Intelligence, Diagnosis, Cancer, Health, early-stage

Abstract

Objective: In this study, we evaluate AI models' diagnostic and treatment optimization performance in cancer 
care. 
Methods: Diagnostic accuracy and treatment planning of AI models were assessed. AI models were compared with traditional methods using paired t-tests. Multiple cancer types were used to collect data for diagnostic accuracy, sensitivity, specificity, and treatment outcomes. 

Downloads

Download data is not yet available.

References

Doi, K. (2007). Computer-aided diagnosis in medical imaging: historical review, current status, and future potential. Computerized medical imaging and graphics, 31(4-5), 198-211.

Doytchinova, I. (2022). Drug design—past, present, future. Molecules, 27(5), 1496.

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologistlevel classification of skin cancer with deep neural networks. nature, 542(7639), 115-118.

Downloads

Published

2025-02-03

How to Cite

The Role of Artificial Intelligence in Early Diagnosis and Treatment of Cancer (Vandana Yadav, Dr. Shakeel Ahmad, Dr. Piyush Pippal, Hyzil J B, Dr. Mainak Roy , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 3124-3131. https://doi.org/10.48047/qyczdf43