Pituitary neuroendocrine tumors (PitNETs), accounting for nearly 15% of all intracranial neoplasms , present unique diagnostic and therapeutic challenges due to their heterogeneous endocrine-metabolic profiles . A 2025 Frontiers in Endocrinology review highlights how AI-driven multi-omics integration —combining radiomics, pathomics, and molecular profiling—is revolutionizing PitNET management. From deep learning models enhancing MRI-based diagnosis and tumor grading accuracy to predictive algorithms guiding surgical precision, postoperative remission, and recurrence risk, artificial intelligence is pushing PitNET care toward true precision medicine.
However, the review underscores critical limitations: small, single-center datasets; lack of standardization; and limited inclusion of autoimmune or metabolic biomarkers . The authors advocate for multi-center, explainable AI frameworks that…
