AIMC Topic: Head and Neck Neoplasms
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A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery.
Head & neck
Feb 12, 2024
BACKGROUND: New patient referrals are often processed by practice coordinators with little-to-no medical background. Treatment delays due to incorrect referral processing, however, have detrimental consequences. Identifying variables that are associa...
Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.
Computers in biology and medicine
Feb 6, 2024
Cell-cell communication is essential to many key biological processes. Intercellular communication is generally mediated by ligand-receptor interactions (LRIs). Thus, building a comprehensive and high-quality LRI resource can significantly improve in...
Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients.
Journal of applied clinical medical physics
Jan 23, 2024
PURPOSE: Artificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter- and intra-obser...
Transoral robotic vertical partial laryngectomy (hemilaryngectomy) extended to the hypopharynx.
Head & neck
Jan 14, 2024
Locally advanced laryngeal cancers treatment often involves total laryngectomy, which some patients are unwilling to undergo, even if this choice reduces their survival probability. Therefore, the objective of laryngeal oncologic surgery is not only ...
Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer.
International journal of computer assisted radiology and surgery
Jan 14, 2024
PURPOSE: While dual-energy computed tomography (DECT) images provide clinically useful information than single-energy CT (SECT), SECT remains the most widely used CT system globally, and only a few institutions can use DECT. This study aimed to estab...
Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.
Radiation oncology (London, England)
Jan 8, 2024
OBJECTIVES: Deep learning-based auto-segmentation of head and neck cancer (HNC) tumors is expected to have better reproducibility than manual delineation. Positron emission tomography (PET) and computed tomography (CT) are commonly used in tumor segm...
Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study.
Oral surgery, oral medicine, oral pathology and oral radiology
Dec 27, 2023
OBJECTIVES: This study aimed to develop machine learning models to predict phosphorylated mesenchymal-epithelial transition factor (p-MET) expression in oral tongue squamous cell carcinoma (OTSCC) using magnetic resonance imaging (MRI)-derived textur...
A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma.
Clinical oral investigations
Dec 27, 2023
OBJECTIVES: In this study, we constructed and validated models based on deep learning and radiomics to facilitate preoperative diagnosis of cervical lymph node metastasis (LNM) using contrast-enhanced computed tomography (CECT).
Exploring the Role of Artificial Intelligence Chatbots in Preoperative Counseling for Head and Neck Cancer Surgery.
The Laryngoscope
Dec 21, 2023
OBJECTIVE: To evaluate the potential use of artificial intelligence (AI) chatbots, such as ChatGPT, in preoperative counseling for patients undergoing head and neck cancer surgery.
Deep learning MRI-only synthetic-CT generation for pelvis, brain and head and neck cancers.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Dec 12, 2023
BACKGROUND AND PURPOSE: MRI-only planning relies on dosimetrically accurate synthetic-CT (sCT) generation to allow dose calculation. Here we validated the dosimetric accuracy of sCTs generated using a deep learning algorithm for pelvic, brain and hea...
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