Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
[PDF][PDF] Brain tumor classification in MRI image using convolutional neural network
HA Khan, W Jue, M Mushtaq… - Mathematical …, 2021 - papers.ssrn.com
Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning
of cells. Recent progress in the field of deep learning has helped the health industry in …
of cells. Recent progress in the field of deep learning has helped the health industry in …
[HTML][HTML] Application of radiomics and machine learning in head and neck cancers
With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …
high-throughput quantitative data could be extracted from digital medical images, which has …
Toward predicting motion sickness using virtual reality and a moving platform assessing brain, muscles, and heart signals
Motion sickness (MS) and postural control (PC) conditions are common complaints among
those who passively travel. Many theories explaining a probable cause for MS have been …
those who passively travel. Many theories explaining a probable cause for MS have been …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Artificial intelligence in ovarian cancer diagnosis
M Akazawa, K Hashimoto - Anticancer research, 2020 - ar.iiarjournals.org
Background/Aim: This study aimed to use artificial intelligence (AI) to predict the pathological
diagnosis of ovarian tumors using patient information and data from preoperative …
diagnosis of ovarian tumors using patient information and data from preoperative …
[HTML][HTML] Radiomics and machine learning applications in rectal cancer: current update and future perspectives
The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …
with significant morbidity and mortality rates. To define the best treatment option and …
Machine learning to predict mortality after rehabilitation among patients with severe stroke
Stroke is among the leading causes of death and disability worldwide. Approximately 20–
25% of stroke survivors present severe disability, which is associated with increased …
25% of stroke survivors present severe disability, which is associated with increased …
Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …