Call For Paper Volume: V, Issue: 08 | AUGUST 2026 | International Journal of Advanced Trends in Engineering and Management (IJATEM)
Volume | Issue | | Paper ID: IJATEM_NGCESI - 2023_040 | DOI: https://doi.org/10.59544/yhif3128/ngcesi23p40

The Significance of artificial intelligence in the early diagnosis of multiple myeloma

Anisha S S, Shajin Nargunam A

A malignancy known as multiple myeloma develops in a type of white blood cell known as a plasma cell. The plasma cells are responsible for the production of antibodies. In multiple myeloma, healthy blood cells are displaced by malignant plasma cells that build up in the bone marrow. Using machine learning techniques, artificial intelligence has radically changed the world of oncology research. Machine learning is a branch of artificial intelligence that makes use of algorithms to analyse data, draw conclusions from it, and then utilise those conclusions to make decisions in the present. In this study, we explore the potential applications of artificial intelligence in the diagnosis of multiple myeloma and present the most important machine learning and deep learning experiments conducted in the field. One of the most severe haematological cancers worldwide is multiple myeloma.

Multiple Myeloma, Artificial Intelligence. Machine Learning, Deep Learning, Diagnosis, Bone Disease