Review paper on Artificial intelligence assisted diagnosis for blood cancer using machine learning

Authors

  • Jain Joseph Lincon University College, Kota Bharu, Kelantan, Malaysia
  • Sherimon P C Arab Open University, Muscat, Sultanate of Oman
  • Vinu Sherimon University of Technology and Applied Sciences, Muscat, Sultanate of Oman

Keywords:

Blood cancer, Machine Learning, Deep learning, Medicine 5.0 Technology, Clinical decision making, Artificial intelligence

Abstract

This article guides a review platform that allows the evaluation of artificial intelligence-assisted diagnosis for blood cancer using machine learning. Advanced medical and technology-based research has fuelled the adoption of the latest technologies for the sake of advancement in medical science application and overall improvement in the detection, diagnosis, prevention and treatment of diseases. AI technology is being used widely in medicine, the economy and daily life; in medicine, artificial intelligence is used mainly for treatment, diagnosis and prediction of disease prognosis. This review effectively highlights the wide-ranging applications of AI in medicine, with a specific focus on its contribution to treatment, diagnosis, prognosis and prediction.

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Additional Files

Published

2024-11-09