| 1 |
2024 |
Miao Shen, Zhinong Jiang. Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions, Journal of Multidisciplinary Healthcare. 2024; Volume 17: 5329.
https://doi.org/10.2147/JMDH.S485724 |
| 2 |
2025 |
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Diana Malaeb, Hassan Hosseini. Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook, Frontiers in Oncology. 2025; 15: 1475893.
https://doi.org/10.3389/fonc.2025.1475893 |
| 3 |
2025 |
Mohammad Mehdi Mehrabi Nejad, Mohammad Reza Ghanbari Boroujeni, Alireza Hayati, Fatemeh Dashti, Jayaram K. Udupa, Drew A. Torigian. Performance of AI methods in PET-based imaging for outcome prediction in lymphoma: A systematic review and meta-analysis, European Journal of Radiology. 2025; 190: 112204112204.
https://doi.org/10.1016/j.ejrad.2025.112204 |
| 4 |
2024 |
Pouria Isavand, Sara Sadat Aghamiri, Rada Amin. Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells, Biomedicines. 2024; 12: 1753.
https://doi.org/10.3390/biomedicines12081753 |
| 5 |
2024 |
Romana Masnikosa, Zorica Cvetković, David Pirić. Tumor Biology Hides Novel Therapeutic Approaches to Diffuse Large B-Cell Lymphoma: A Narrative Review, International Journal of Molecular Sciences. 2024; 25: 11384.
https://doi.org/10.3390/ijms252111384 |
