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Head and Neck Neoplasms

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Methodology in Conventional Head and Neck Reconstruction Following Robotic Cancer Surgery: A Bridgehead Robotic Head and Neck Reconstruction.

Yonsei medical journal
PURPOSE: Robotic head and neck surgery is widespread nowadays. However, in the reconstruction field, the use of robotic operations is not. This article aimed to examine methodologies for conventional head and neck reconstruction after robotic tumor s...

Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined wit...

Artificial Intelligence and Deep Learning of Head and Neck Cancer.

Magnetic resonance imaging clinics of North America
Artificial intelligence (AI) algorithms, particularly deep learning, have developed to the point that they can be applied in image recognition tasks. The use of AI in medical imaging can guide radiologists to more accurate image interpretation and di...

Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms.

Clinical nuclear medicine
PURPOSE: The availability of automated, accurate, and robust gross tumor volume (GTV) segmentation algorithms is critical for the management of head and neck cancer (HNC) patients. In this work, we evaluated 3 state-of-the-art deep learning algorithm...

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

Polski przeglad chirurgiczny
<b>Introduction:</b> The effect of BMI on development of perioperative complications in head and neck cancer surgeries is not welldefined. </br></br> <b> Aim:</b> This study aims to evaluate the effect of body mass...

Perspectives in pathomics in head and neck cancer.

Current opinion in oncology
PURPOSE OF REVIEW: Pathology is the cornerstone of cancer care. Pathomics, which represents the use of artificial intelligence in digital pathology, is an emerging and promising field that will revolutionize medical and surgical pathology in the comi...

Artificial intelligence for automating the measurement of histologic image biomarkers.

The Journal of clinical investigation
Artificial intelligence has been applied to histopathology for decades, but the recent increase in interest is attributable to well-publicized successes in the application of deep-learning techniques, such as convolutional neural networks, for image ...

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

The Journal of clinical investigation
BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured with definitive treatment. However, there are currently no reliable biomarkers of treatment failure for p16+ OPSCC. Pathologist-based visual assessment o...

Precision head and neck surgery: robotics and surgical vision technology.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: As the molecular basis of head and neck cancer becomes more clearly defined, precision medicine has gradually refined the multidisciplinary treatment paradigm for patients with oropharyngeal cancer. Although precision medicine is o...

Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
The advent of large-scale high-performance computing has allowed the development of machine-learning techniques in oncologic applications. Among these, there has been substantial growth in radiomics (machine-learning texture analysis of images) and a...