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Precision Health Database


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Cancer

Last data update: Sep 29, 2023. (Total: 61661 Documents since 2012)
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Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
Lie Cai et al. Eur Radiol 2023
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.
Kristina Lång et al. Lancet Oncol 2023 24(8) 936-944
Machine learning approaches for predicting 5-year breast cancer survival: A multicenter study.
Quynh Thi Nhu Nguyen et al. Cancer Sci 2023
Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction.
Roberto Lo Gullo et al. Invest Radiol 2023
Comprehensively analysis of immunophenotyping signature in triple-negative breast cancer patients based on machine learning.
Lijuan Tang et al. Front Pharmacol 2023 141195864
Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer Screening.
Cary J G Oberije et al. Cancers (Basel) 2023 15(12)
Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions.
Clayton R Taylor et al. Diagnostics (Basel) 2023 13(12)
Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework.
Taukir Alam et al. Biomedicines 2023 11(6)
Assessing the decision quality of artificial intelligence and oncologists of different experience in different regions in breast cancer treatment.
Chunguang Han et al. Front Oncol 2023 131152013
Novel models by machine learning to predict prognosis of breast cancer brain metastases.
Chaofan Li et al. J Transl Med 2023 21(1) 404
Prediction model for postoperative quality of life among breast cancer survivors along the survivorship trajectory from pretreatment to 5 years: Machine learning-based analysis.
Danbee Kang et al. JMIR Public Health Surveill 2023
Evaluation of an AI Model to Assess Future Breast Cancer Risk.
Celeste Damiani et al. Radiology 2023 307(5) e222679
Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
Dongmei Lu et al. J Cancer Res Clin Oncol 2023
Evaluation of an Artificial Intelligence System for Detection of Invasive Lobular Carcinoma on Digital Mammography.
Sylvia Arce et al. Cureus 2023 15(5) e38770
A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.
Jin Luo et al. J Cancer Res Clin Oncol 2023
Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study.
Vignesh A Arasu et al. Radiology 2023 307(5) e222733
Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study.
Jianwei Liao et al. EClinicalMedicine 2023 60102001
Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data.
A Isosalo et al. Comput Biol Med 2023 161107023
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population-based observational study.
Maria-Eleni Syleouni et al. Int J Cancer 2023
Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer.
Nienke Bakx et al. Tech Innov Patient Support Radiat Oncol 2023 26100211
Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors.
Alissa Michel et al. Breast Cancer Res Treat 2023
Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Occult Breast Cancer Patients.
Jingkun Qu et al. J Clin Med 2023 12(9)
Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study.
Ash Kieran Clift et al. BMJ 2023 381e073800
Risk prediction models for breast cancer-related lymphedema: A systematic review and meta-analysis.
Aomei Shen et al. Eur J Oncol Nurs 2023 64102326
Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study.
Konstantina Kourou et al. Sci Rep 2023 13(1) 7059
Identification of key breast features using a neural network: applications of machine learning in the clinical setting of Plastic Surgery.
Nitzan Kenig et al. Plast Reconstr Surg 2023
Neighborhood Disadvantage and Breast Cancer-Specific Survival.
Neha Goel et al. JAMA Netw Open 6(4) e238908
Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction.
Hui Li et al. Cancers (Basel) 2023 15(7)
Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model.
Arka Bhowmik et al. Invest Radiol 2023
Deep learning for real-time detection of breast cancer presenting pathological nipple discharge by ductoscopy.
Feng Xu et al. Front Oncol 2023 131103145
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