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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jan 31, 2023. (Total: 52373 Documents since 2012)
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Query Trace: all[original query]>>Cancer[Category]
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
Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
Meng-Pan Li et al. Frontiers in oncology 2023 121054300
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
OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations.
Zoucheng Pan et al. EBioMedicine 2023 88104443
Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor.
Haiyun Yu et al. Life (Basel, Switzerland) 2023 13(1)
Establishment of prognostic models of adrenocortical carcinoma using machine learning and big data.
Jun Tang et al. Frontiers in surgery 2023 9966307
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Himanish Shekhar Das et al. Frontiers in genetics 2023 131097207
A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.
Ziye Wang et al. Frontiers in endocrinology 2023 131083569
Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial.
Pu Wang et al. Gastroenterology report 2023 11goac081
Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry.
Savino Cilla et al. Frontiers in oncology 2023 121044358
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital.
Richa Bansal et al. Frontiers in artificial intelligence 2023 51050803
Classification Prediction of Breast Cancer Based on Machine Learning.
Hua Chen et al. Computational intelligence and neuroscience 2023 20236530719
Use of Artificial Intelligence for Cancer Clinical Trial Enrolment: A Systematic Review and Meta-Analysis.
Ronald Chow et al. Journal of the National Cancer Institute 2023
The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?
Navamayooran Thavanesan et al. Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 2023
Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.
Abdella M Ahmed et al. Biomedical physics & engineering express 2023
Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.
Sunyi Zheng et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2023 109483
Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers.
Zhe Li et al. JAMA network open 2023 6(1) e2252553
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)
Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis.
Ozkara Burak B et al. Cancers 2023 15(2)
The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the "Real World"?
Sollini Martina et al. Cancers 2023 15(2)
The Use of Artificial Intelligence (AI) in the Radiology Field: What Is the State of Doctor-Patient Communication in Cancer Diagnosis?
Derevianko Alexandra et al. Cancers 2023 15(2)
Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial.
Chao Heng-Sheng et al. Biomedicines 2023 11(1)
Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)
Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.
Fukuda Toshinori et al. Ultrasound in medicine & biology 2023
Clinical prototype implementation enabling an improved day-to-day mammography compression.
Hertel Madeleine 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 106102524
Evaluation of Preoperative Microvascular Invasion in Hepatocellular Carcinoma Through Multidimensional Parameter Combination Modeling Based on Gd-EOB-DTPA MRI.
Zhang Han-Dan et al. Journal of clinical and translational hepatology 2023 11(2) 350-359
HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
Role of artificial intelligence in diagnosing Barrett's esophagus related neoplasia.
Meinikheim Michael et al. Clinical endoscopy 2023
Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).
Boulenger de Hauteclocque A et al. BJU international 2023
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