Machine learning-based treatment outcome prediction in head and neck cancer using integrated noninvasive diagnostics - Quiz - MDSpire

Machine learning-based treatment outcome prediction in head and neck cancer using integrated noninvasive diagnostics

  • By

  • Melda Yeghaian

  • Stefano Trebeschi

  • Marina Herrero-Huertas

  • Francisco Javier Mendoza Ferradás

  • Paula Bos

  • Maarten J. A. van Alphen

  • Marcel A. J. van Gerven

  • Regina G. H. Beets-Tan

  • Zuhir Bodalal

  • Lilly-Ann van der Velden

  • December 8, 2025

  • 0 min

Share

Original Source(s)

Machine learning-based treatment outcome prediction in head and neck cancer using integrated noninvasive diagnostics

  • by Melda Yeghaian, Stefano Trebeschi, Marina Herrero-Huertas, Francisco Javier Mendoza Ferradás, Paula Bos, Maarten J. A. van Alphen, Marcel A. J. van Gerven, Regina G. H. Beets-Tan, Zuhir Bodalal, Lilly-Ann van der Velden

  • December 8, 2025

Related Content

Opioid Prescribing Trends After Guidelines

Large US data set tracks postoperative analgesic use over a decade.

Most Salivary Gland Neoplasms Found to Be Benign in Single-Center Study

Analysis of 50 cases shows moderate diagnostic agreement between FNAC and histopathology and identifies pleomorphic adenoma as the most common neoplasm.

Nasal Tumor Misdiagnosed as Carcinoma

Accurate histopathologic evaluation and complete excision distinguished a rare benign lesion from squamous cell carcinoma and guided management.