Prediction of early-stage melanoma recurrence using clinical and histopathologic features
Prognostic analysis for early-stage (stage I/II) melanomas is of paramount importance for
customized surveillance and treatment plans. Since immune checkpoint inhibitors have …
customized surveillance and treatment plans. Since immune checkpoint inhibitors have …
[HTML][HTML] Data science as a core competency in undergraduate medical education in the age of artificial intelligence in health care
P Seth, N Hueppchen, SD Miller, F Rudzicz… - JMIR medical …, 2023 - mededu.jmir.org
The increasingly sophisticated and rapidly evolving application of artificial intelligence in
medicine is transforming how health care is delivered, highlighting a need for current and …
medicine is transforming how health care is delivered, highlighting a need for current and …
Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance
Background and objectives: By extracting this information, Machine or Deep Learning
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …
Explainable ensemble learning model improves identification of candidates for oral cancer screening
Objectives Artificial intelligence could enhance the use of disparate risk factors (crude
method) for better stratification of patients to be screened for oral cancer. This study aims to …
method) for better stratification of patients to be screened for oral cancer. This study aims to …
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors
MR Afrash, M Shafiee, H Kazemi-Arpanahi - BMC gastroenterology, 2023 - Springer
Background Gastric cancer is one of the leading causes of death worldwide. Screening for
gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and …
gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and …
[HTML][HTML] Ovarian cancer data analysis using deep learning: A systematic review
Technological advancement and the adoption of digital technologies in cancer care and
research have generated big data. These diverse and multimodal data contain valuable …
research have generated big data. These diverse and multimodal data contain valuable …
Machine learning for risk prediction of oesophago-gastric cancer in primary care: comparison with existing risk-assessment tools
Simple Summary Oesophago-gastric cancer is one of the commonest cancers worldwide,
yet it can be particularly difficult to diagnose given that initial symptoms are often non …
yet it can be particularly difficult to diagnose given that initial symptoms are often non …
[HTML][HTML] Let-7e-5p, a promising novel biomarker for benzene toxicity, is involved in benzene-induced hematopoietic toxicity through targeting caspase-3 and p21
B Wang, S Xu, Q Sun, X Li, T Wang, K Xu, L Yin… - Ecotoxicology and …, 2022 - Elsevier
Benzene is a common industrial chemical and environmental pollutant. However, the
mechanism of hematotoxicity caused by exposure to low doses of benzene is unknown. Let …
mechanism of hematotoxicity caused by exposure to low doses of benzene is unknown. Let …
Using real-world electronic health record data to predict the development of 12 cancer-related symptoms in the context of multimorbidity
Objective This study uses electronic health record (EHR) data to predict 12 common cancer
symptoms, assessing the efficacy of machine learning (ML) models in identifying symptom …
symptoms, assessing the efficacy of machine learning (ML) models in identifying symptom …
Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study
B Burger, M Bernathova, P Seeböck, CF Singer… - European Radiology …, 2023 - Springer
Background International societies have issued guidelines for high-risk breast cancer (BC)
screening, recommending contrast-enhanced magnetic resonance imaging (CE-MRI) of the …
screening, recommending contrast-enhanced magnetic resonance imaging (CE-MRI) of the …