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Precision Health Database


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Cancer

Last data update: Mar 27, 2023. (Total: 58931 Documents since 2012)
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Development of a nomogram for predicting pathological complete response in luminal breast cancer patients following neoadjuvant chemotherapy.
Giovanna Garufi et al. Therapeutic advances in medical oncology 2023 1517588359221138657
The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer.
Looket Dihge et al. Frontiers in oncology 2023 131102254
Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Shaoxu Wu et al. The Lancet. Oncology 2023
Applications of different machine learning approaches in prediction of breast cancer diagnosis delay.
Samira Dehdar et al. Frontiers in oncology 2023 131103369
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation.
Nasim Sirjani et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 107102560
Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection.
M Luke Marinovich et al. EBioMedicine 2023 90104498
Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer.
Jiamin Guo et al. British journal of cancer 2023
Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.
Basem S Abunasser et al. Asian Pacific journal of cancer prevention : APJCP 2023 24(2) 531-544
Multicenter automatic detection of invasive carcinoma on breast whole slide images.
Rémy Peyret et al. PLOS digital health 2023 2(2) e0000091
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.
Raffaella Massafra et al. Frontiers in medicine 2023 101116354
Clinical applications of deep learning in breast MRI.
Xue Zhao et al. Biochimica et biophysica acta. Reviews on cancer 2023 1878(2) 188864
Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review.
Marina Yusoff et al. Diagnostics (Basel, Switzerland) 2023 13(4)
How Radiomics Can Improve Breast Cancer Diagnosis and Treatment.
Filippo Pesapane et al. Journal of clinical medicine 2023 12(4)
Can we use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Post-Operative Adverse Events?
Mitchell S Fourman et al. World neurosurgery 2023
Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
Amjad Khan et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 36(5) 100118
Applications of Artificial Intelligence in Breast Pathology.
Yueping Liu et al. Archives of pathology & laboratory medicine 2023
The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer.
Si Wu et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 36(3) 100054
Artificial Intelligence in Breast X-Ray Imaging.
Srinivasan Vedantham et al. Seminars in ultrasound, CT, and MR 2023 44(1) 2-7
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records.
Nguyen Thi Hoang Trang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program.
Xiaoxi Huang et al. Frontiers in public health 2023 101098639
Towards precision medicine based on a continuous deep learning optimization and ensemble approach.
Jian Li et al. NPJ digital medicine 2023 6(1) 18
Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors.
Yu-Ru Su et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2023
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
Ruiyang Wu et al. PloS one 2023 18(1) e0280340
Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Himanish Shekhar Das et al. Frontiers in genetics 2023 131097207
Classification Prediction of Breast Cancer Based on Machine Learning.
Hua Chen et al. Computational intelligence and neuroscience 2023 20236530719
Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Park Jung In et al. BMJ health & care informatics 2023 30(1)
Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)
HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction.
Nasser Maged et al. Diagnostics (Basel, Switzerland) 2023 13(1)
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