The Application of Artificial Intelligence and Machine Learning in Pituitary Adenomas
Pituitary adenomas (PAs) are a group of tumors with complex and heterogeneous clinical manifestations. Early accurate diagnosis, individualized management, and precise prediction of the treatment response and prognosis of patients with PA are urgently needed. Artificial intelligence (AI) and machine...
Main Authors: | Congxin Dai, Bowen Sun, Renzhi Wang, Jun Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-12-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.784819/full |
Similar Items
-
Anti-VEGF Therapy in Refractory Pituitary Adenomas and Pituitary Carcinomas: A Review
by: Congxin Dai, et al.
Published: (2021-11-01) -
The Clinical and Pathological Characteristics of Refractory Pituitary Adenomas: A Single Center Experience
by: Xiaohai Liu, et al.
Published: (2022-03-01) -
The application of artificial intelligence technology in the diagnosis and treatment of pituitary adenoma
by: Wen⁃tai ZHANG, et al.
Published: (2020-03-01) -
Endoscopic surgery of pituitary adenomas. Historical overview
by: V N Azizyan, et al.
Published: (2015-06-01) -
Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence
by: Matheus M. Rech, et al.
Published: (2023-03-01)