Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …
using machine learning techniques across all medical specialties. Design Systematic …
Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Artificial intelligence in radiation oncology
Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …
Machine learning-based models for prediction of toxicity outcomes in radiotherapy
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and
assessment schemes are essential. In recent years, the growing interest toward artificial …
assessment schemes are essential. In recent years, the growing interest toward artificial …
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
ZHE Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …
amount of collectable data obtained from high-throughput sequencing has led to an …
[HTML][HTML] Artificial intelligence to predict outcomes of head and neck radiotherapy
Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary
widely across patients. Advancements in radiotherapy delivery techniques, along with the …
widely across patients. Advancements in radiotherapy delivery techniques, along with the …
Predictive factors for chemoradiation-induced oral mucositis and dysphagia in head and neck cancer: a scoping review
AJ Nicol, JCF Ching, VCW Tam, KCK Liu, VWS Leung… - Cancers, 2023 - mdpi.com
Simple Summary Head and neck cancer is the seventh-most prevalent cancer worldwide.
Despite advances in treatment, many patients suffer from chemoradiation-induced oral …
Despite advances in treatment, many patients suffer from chemoradiation-induced oral …
Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis
Introduction The aim of the present systematic review (SR) is to summarize Machine
Learning (ML) models currently used to predict head and neck cancer (HNC) treatment …
Learning (ML) models currently used to predict head and neck cancer (HNC) treatment …
Big data in head and neck cancer
C Resteghini, A Trama, E Borgonovi, H Hosni… - … Treatment Options in …, 2018 - Springer
Opinion statement Head and neck cancers can be used as a paradigm for exploring “big
data” applications in oncology. Computational strategies derived from big data science hold …
data” applications in oncology. Computational strategies derived from big data science hold …
Predicting emergency visits and hospital admissions during radiation and chemoradiation: an internally validated pretreatment machine learning algorithm
JC Hong, D Niedzwiecki, M Palta… - JCO clinical cancer …, 2018 - ascopubs.org
Purpose Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require
emergency department evaluation or hospitalization. Early identification may direct …
emergency department evaluation or hospitalization. Early identification may direct …