[HTML][HTML] Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

TD Pham, MT Teh, D Chatzopoulou, S Holmes… - Current …, 2024 - mdpi.com
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …

[HTML][HTML] Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches

S Bhattacharya, RK Mahato, S Singh, GK Bhatti… - Life Sciences, 2023 - Elsevier
Thyroid cancer continues to exhibit a rising incidence globally, predominantly affecting
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …

Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

SY Chung, JS Chang, MS Choi, Y Chang, BS Choi… - Radiation …, 2021 - Springer
Background In breast cancer patients receiving radiotherapy (RT), accurate target
delineation and reduction of radiation doses to the nearby normal organs is important …

The impact of radiomics in diagnosis and staging of pancreatic cancer

C Casà, A Piras, A D'Aviero, F Preziosi… - Therapeutic …, 2022 - journals.sagepub.com
Introduction: Pancreatic cancer (PC) is one of the most aggressive tumours, and better risk
stratification among patients is required to provide tailored treatment. The meaning of …

[HTML][HTML] Clinical validation of a deep-learning segmentation software in head and neck: an early analysis in a develo** radiation oncology center

A D'Aviero, A Re, F Catucci, D Piccari, C Votta… - International Journal of …, 2022 - mdpi.com
Background: Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT)
treatment planning workflow. Time-consuming and inter-observer variability are main issues …

Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …

L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

Using deep convolutional neural networks for enhanced ultrasonographic image diagnosis of differentiated thyroid cancer

WK Chan, JH Sun, MJ Liou, YR Li, WY Chou, FH Liu… - Biomedicines, 2021 - mdpi.com
Differentiated thyroid cancer (DTC) from follicular epithelial cells is the most common form of
thyroid cancer. Beyond the common papillary thyroid carcinoma (PTC), there are a number …

Multilayer intensity modulated contact interventional radiotherapy (brachytherapy): Stretching the therapeutic window in skin cancer

B Fionda, E Placidi, E Rosa, V Lancellotta… - Journal of …, 2023 - termedia.pl
Purpose Interventional radiotherapy (IRT, brachytherapy) is a highly effective treatment
method for non-melanoma skin cancer (NMSC). It is characterized by excellent functional …

Current role of artificial intelligence in head and neck cancer surgery: a systematic review of literature

A Loperfido, A Celebrini, A Marzetti… - … of Targeted Anti-tumor …, 2023 - pmc.ncbi.nlm.nih.gov
Aim: Artificial intelligence (AI) is a new field of science in which computers will provide
decisions-supporting tools to help doctors make difficult clinical choices. Recent AI …

Deep learning applications in automatic segmentation and reconstruction in CT-based cervix brachytherapy

H Hu, Q Yang, J Li, P Wang, B Tang, X Wang… - Journal of …, 2021 - termedia.pl
Results The averaged overall 10 test patients' DSC, HD95, and reconstruction time were
0.89, 1.66 mm, and 17.12 s, respectively. The average tip error was 0.80 mm, and the …