AIMC Topic: Head and Neck Neoplasms

Clear Filters Showing 301 to 310 of 357 articles

Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax.

Artificial intelligence in medicine
OBJECTIVE: The objective of this study is to help a team of physicians and knowledge engineers acquire clinical knowledge from existing practices datasets for treatment of head and neck cancer, to validate the knowledge against published guidelines, ...

Transoral robotic surgery for the management of head and neck squamous cell carcinoma of unknown primary.

Acta oto-laryngologica
CONCLUSION: The addition of transoral robotic surgery (TORS) in the diagnostic management of patients classified with head and neck squamous cell carcinoma of unknown primary (SCCUP) is promising and appears to improve detection rates of the primary ...

A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: Adaptive radiation therapy (ART) is an advanced field of radiation oncology. Image-guided radiation therapy (IGRT) methods can support daily setup and assess anatomical variations during therapy, which could prevent incorrect dose distributi...

Evaluation of a knowledge-based planning solution for head and neck cancer.

International journal of radiation oncology, biology, physics
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new pati...

Machine learning and explainable artificial intelligence reveals the MicroRNAs associated with survival of head and neck squamous cell carcinoma patients.

Computational biology and chemistry
Dysregulated microRNAs (miRNAs) play a significant role in cancer development and metastasis. In literature, miRNAs have been used for the survival prediction of different types of cancers using AI. Although AI is useful for diagnosis and prognosis p...

Semantic Convergence with LLMs for Head and Neck Cancer Quality Indicators.

Studies in health technology and informatics
We developed a novel method for leveraging large language models (LLM) to systematically filter and categorize large numbers of clinical quality indicators (CQI) for head and neck cancer. This was used to transform a tedious, human-resource intensive...

Advances in virtual surgical planning for free tissue transfer.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: This review seeks to describe the current state of virtual surgical planning (VSP) for head and neck free flap reconstruction, highlighting recent advancements, future directions, and outstanding limitations.

Automatic contour quality assurance using deep-learning based contours.

Physics in medicine and biology
Safe deployment of auto-contouring models requires the inclusion of automated quality assurance (QA). One such approach is to use two independent auto-contouring models and compare them geometrically for acceptability. This is not effective because g...

U-Attention-Net: a deep learning automatic delineation model for parotid glands in head and neck cancer organs at risk on radiotherapy localization computed tomography images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
OBJECTIVE: This study aimed to develop a novel deep learning model, U-Attention-Net (UA-Net), for precise segmentation of parotid glands on radiotherapy localization CT images.