Journal of Multidisciplinary Healthcare (Nov 2024)
Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions
Abstract
Miao Shen,1,2 Zhinong Jiang1 1Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, 310000, People’s Republic of China; 2Department of Pathology, Deqing People’s Hospital, Huzhou City, Zhejiang Province, 313200, People’s Republic of ChinaCorrespondence: Zhinong Jiang, Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 Qingchun East Road, Shangcheng District, Hangzhou City, Zhejiang Province, 310000, People’s Republic of China, Tel +86 15105729672, Email [email protected]: Lymphoma, a heterogeneous group of blood cancers, presents significant diagnostic and therapeutic challenges due to its complex subtypes and variable clinical outcomes. Artificial intelligence (AI) has emerged as a promising tool to enhance the accuracy and efficiency of lymphoma pathology. This review explores the potential of AI in lymphoma diagnosis, classification, prognosis prediction, and treatment planning, as well as addressing the challenges and future directions in this rapidly evolving field.Keywords: artificial intelligence, machine learning, deep learning, lymphoma, digital pathology
