AIMC Topic: Head and Neck Neoplasms

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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...

[Robot-assisted head and neck surgery].

HNO
Robot-assisted surgery (RAS) has already been approved for several clinical applications in head and neck surgery. In some Anglo-American regions, RAS is currently the common standard for treatment of oropharyngeal diseases. Systematic randomized stu...

Machine Learning Applications for Head and Neck Imaging.

Neuroimaging clinics of North America
The head and neck (HN) consists of a large number of vital anatomic structures within a compact area. Imaging plays a central role in the diagnosis and management of major disorders affecting the HN. This article reviews the recent applications of ma...

Comparative outcomes of robot-assisted minimally invasive versus open esophagectomy in patients with esophageal squamous cell carcinoma: a propensity score-weighted analysis.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus
Robots are increasingly used in minimally invasive surgery. We evaluated the clinical benefits of robot-assisted minimally invasive esophagectomy (RAMIE) in comparison with the conventional open esophageal surgery. From 2012 to 2016, 371 patients wit...