Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content

Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Cancer

Last data update: Jan 28, 2023. (Total: 52318 Documents since 2012)
   dataset      
Filtered By:

Previous    

Records 1 - 30 (of 1370 Records)

Next

Query Trace: all[original query]
Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology.
Zhdanovich Yauheniya et al. BMC bioinformatics 2023 24(1) 1
Blood-based DNA methylation profiling for the detection of ovarian cancer.
Li Ning et al. Gynecologic oncology 2022
Comprehensive analysis of the associations between clinical factors and outcomes by machine learning, using post marketing surveillance data of cabazitaxel in patients with castration-resistant prostate cancer.
Kazama Hirotaka et al. BMC cancer 2022 22(1) 470
Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: toward a disease-specific survival estimation tool.
Anderson Ashley B et al. BMC cancer 2022 22(1) 476
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia Marc et al. The Lancet. Digital health 2022 4(5) e330-e339
Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu Danqing et al. JMIR medical informatics 2022 10(4) e35475
Swarm learning for decentralized artificial intelligence in cancer histopathology.
Saldanha Oliver Lester et al. Nature medicine 2022
Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022
A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning.
Liu Xiangliang et al. Cancer management and research 2022 141431-1441
Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review.
Yang Xinyu et al. JMIR medical informatics 2022 10(4) e33799
A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
Xue Zhiyun et al. Proceedings. IEEE International Symposium on Computer-Based Medical Systems 2022 2021527-532
Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.
Tzelves Lazaros et al. PloS one 2022 17(4) e0265127
Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.
Michaely Henrik J et al. Diagnostics (Basel, Switzerland) 2022 12(4)
Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.
Davri Athena et al. Diagnostics (Basel, Switzerland) 2022 12(4)
The Utility of Conventional Amino Acid PET Radiotracers in the Evaluation of Glioma Recurrence also in Comparison with MRI.
Santo Giulia et al. Diagnostics (Basel, Switzerland) 2022 12(4)
Glioma Tumors' Classification Using Deep-Neural-Network-Based Features with SVM Classifier.
Latif Ghazanfar et al. Diagnostics (Basel, Switzerland) 2022 12(4)
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma.
Lisson Catharina Silvia et al. Cancers 2022 14(8)
Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach.
Shimpi Neel et al. Journal of personalized medicine 2022 12(4)
CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma.
Tan Eelin et al. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2022
Breast cancer detection using artificial intelligence techniques: A systematic literature review.
Nassif Ali Bou et al. Artificial intelligence in medicine 2022 127102276
Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu Miao et al. Current medical imaging 2022
Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review.
Tohidinezhad Fariba et al. Frontiers in psychology 2022 13853472
Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma.
Li Wenle et al. Frontiers in medicine 2022 9807382
Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.
Brown Sherry-Ann et al. American heart journal plus : cardiology research and practice 2022 13
An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
Lauritzen Andreas D et al. Radiology 2022 210948
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.
Areia Miguel et al. The Lancet. Digital health 2022
Digital technologies in cancer care: a review from the clinician's perspective.
Briggs Logan G et al. Journal of comparative effectiveness research 2022
Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa.
Waljee Akbar K et al. Gut 2022
Predictive models for clinical decision making: Deep dives in practical machine learning.
Eloranta Sandra et al. Journal of internal medicine 2022
Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles Amiel et al. Computers in biology and medicine 2022 145105490
TOP