- Home
- Publications
- Publication Search
- Publication Details
Title
The Role of Artificial Intelligence in Early Cancer Diagnosis
Authors
Keywords
-
Journal
Cancers
Volume 14, Issue 6, Pages 1524
Publisher
MDPI AG
Online
2022-03-17
DOI
10.3390/cancers14061524
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- DeepCAT: Deep Computer-Aided Triage of Screening Mammography
- (2021) Paul H. Yi et al. JOURNAL OF DIGITAL IMAGING
- Liquid biopsy enters the clinic — implementation issues and future challenges
- (2021) Michail Ignatiadis et al. Nature Reviews Clinical Oncology
- Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images
- (2021) Rikiya Yamashita et al. Scientific Reports
- Integrating Liquid Biopsy and Radiomics to Monitor Clonal Heterogeneity of EGFR-Positive Non-Small Cell Lung Cancer
- (2021) Federico Cucchiara et al. Frontiers in Oncology
- Screening for Lung Cancer
- (2021) et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- US task force recommends extending lung cancer screenings to over 50s
- (2021) Owen Dyer BMJ-British Medical Journal
- Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset
- (2021) Sunday O. Olatunji et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Independent real‐world application of a clinical‐grade automated prostate cancer detection system
- (2021) Leonard M Silva et al. JOURNAL OF PATHOLOGY
- Securing a sustainable and fit-for-purpose UK health and care workforce
- (2021) Michael Anderson et al. LANCET
- Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
- (2021) Xi Wang et al. MEDICAL IMAGE ANALYSIS
- Triage-driven diagnosis of Barrett’s esophagus for early detection of esophageal adenocarcinoma using deep learning
- (2021) Marcel Gehrung et al. NATURE MEDICINE
- Benign-malignant pulmonary nodule classification in low-dose CT with convolutional features
- (2021) Mehdi Astaraki et al. Physica Medica-European Journal of Medical Physics
- Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
- (2021) Panagiotis Papadimitroulas et al. Physica Medica-European Journal of Medical Physics
- Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data
- (2021) Edian F. Franco et al. Cancers
- A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning
- (2021) Satoshi Takahashi et al. Biomolecules
- The Costs and Benefits of Risk Stratification for Colorectal Cancer Screening Based On Phenotypic and Genetic Risk: A Health Economic Analysis
- (2021) Chloe Thomas et al. Cancer Prevention Research
- Stromal composition predicts recurrence of early rectal cancer after local excision
- (2021) Helen J S Jones et al. HISTOPATHOLOGY
- The feasibility of a dose painting procedure to treat prostate cancer based on mpMR images and hierarchical clustering
- (2021) Seyed Masoud Rezaeijo et al. Radiation Oncology
- Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
- (2021) Karoline Freeman et al. BMJ-British Medical Journal
- Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features
- (2021) Naoto Tokuyama et al. MODERN PATHOLOGY
- A Pyramid Architecture-Based Deep Learning Framework for Breast Cancer Detection
- (2021) Dong Sui et al. Biomed Research International
- Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre
- (2021) Benjamin Hunter et al. Frontiers in Medicine
- Connected-UNets: a deep learning architecture for breast mass segmentation
- (2021) Asma Baccouche et al. npj Breast Cancer
- Introduction to Radiomics
- (2020) Marius E Mayerhoefer et al. JOURNAL OF NUCLEAR MEDICINE
- Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
- (2020) Peter Ström et al. LANCET ONCOLOGY
- Deep-learning approaches for Gleason grading of prostate biopsies
- (2020) Anant Madabhushi et al. LANCET ONCOLOGY
- Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
- (2020) Harry J. de Koning et al. NEW ENGLAND JOURNAL OF MEDICINE
- External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules
- (2020) David R Baldwin et al. THORAX
- A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies
- (2020) Livia Faes et al. Translational Vision Science & Technology
- Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes
- (2020) Hyunku Shin et al. ACS Nano
- Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides
- (2020) Ann-Christin Woerl et al. EUROPEAN UROLOGY
- The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
- (2020) Alex Zwanenburg et al. RADIOLOGY
- Multicenter Multireader Evaluation of an Artificial Intelligence–Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI
- (2020) Sherif Mehralivand et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods
- (2020) Rogier R. Wildeboer et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective
- (2020) Lisa Browning et al. JOURNAL OF CLINICAL PATHOLOGY
- Cytosponge-trefoil factor 3 versus usual care to identify Barrett's oesophagus in a primary care setting: a multicentre, pragmatic, randomised controlled trial
- (2020) Rebecca C Fitzgerald et al. LANCET
- A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules
- (2020) Xiangmeng Chen et al. CANCER IMAGING
- An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
- (2020) Guan-Qun Zhou et al. Nature Communications
- Machine learning-based genome-wide interrogation of somatic copy number aberrations in circulating tumor DNA for early detection of hepatocellular carcinoma
- (2020) Kaishan Tao et al. EBioMedicine
- Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model
- (2020) Michael T. Lu et al. ANNALS OF INTERNAL MEDICINE
- The ethics of AI in health care: A mapping review
- (2020) Jessica Morley et al. SOCIAL SCIENCE & MEDICINE
- Radiogenomics of lung cancer
- (2020) Chi Wah Wong et al. Journal of Thoracic Disease
- Multi-Omics Analysis in Initiation and Progression of Meningiomas: From Pathogenesis to Diagnosis
- (2020) Jiachen Liu et al. Frontiers in Oncology
- A case-control study to evaluate the impact of the breast screening programme on mortality in England
- (2020) Roberta Maroni et al. BRITISH JOURNAL OF CANCER
- Impact of the COVID-19 Pandemic on Lung Cancer Screening Program and Subsequent Lung Cancer
- (2020) Robert M. Van Haren et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
- Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
- (2020) Nikhil Naik et al. Nature Communications
- Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections
- (2020) Young-Gon Kim et al. Scientific Reports
- Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology
- (2019) Yufei Liu et al. Engineering
- A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
- (2019) Haonan Lu et al. Nature Communications
- Barriers to Lung Cancer Screening Engagement from the Patient and Provider Perspective
- (2019) Gary X. Wang et al. RADIOLOGY
- Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients
- (2019) Zaki Hasnain et al. PLoS One
- RNA sequencing and swarm intelligence–enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA
- (2019) Myron G. Best et al. Nature Protocols
- Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers
- (2019) Eiryo Kawakami et al. CLINICAL CANCER RESEARCH
- Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography
- (2019) Wei-Chih Shen et al. EUROPEAN RADIOLOGY
- End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
- (2019) Diego Ardila et al. NATURE MEDICINE
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Radiomics based likelihood functions for cancer diagnosis
- (2019) Hina Shakir et al. Scientific Reports
- Automatic trial eligibility surveillance based on unstructured clinical data
- (2019) Stéphane M. Meystre et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
- (2019) Kaustav Bera et al. Nature Reviews Clinical Oncology
- Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Breast Cancer Survivors
- (2019) Chi-Chang Chang et al. Frontiers in Genetics
- Teaching yourself about structural racism will improve your machine learning
- (2019) Whitney R Robinson et al. BIOSTATISTICS
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Deep learning based on standard H&E images of primary melanoma tumors identifies patients at risk for visceral recurrence and death
- (2019) Prathamesh M. Kulkarni et al. CLINICAL CANCER RESEARCH
- Extension of the CONSORT and SPIRIT statements
- (2019) Xiaoxuan Liu et al. LANCET
- DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning
- (2019) Liu et al. Genes
- Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
- (2019) Shigao Huang et al. CANCER LETTERS
- Self-supervised learning for medical image analysis using image context restoration
- (2019) Liang Chen et al. MEDICAL IMAGE ANALYSIS
- Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment
- (2019) Patrick Schelb et al. RADIOLOGY
- Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer
- (2019) Wenjuan Zhang et al. RADIOTHERAPY AND ONCOLOGY
- Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates
- (2018) Jennifer Nayor et al. DIGESTIVE DISEASES AND SCIENCES
- Digital pathology access and usage in the UK: results from a national survey on behalf of the National Cancer Research Institute’s CM-Path initiative
- (2018) Bethany Jill Williams et al. JOURNAL OF CLINICAL PATHOLOGY
- Machine learning to detect signatures of disease in liquid biopsies – a user's guide
- (2018) Jina Ko et al. LAB ON A CHIP
- Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
- (2018) Babak Ehteshami Bejnordi et al. MODERN PATHOLOGY
- Detection and localization of surgically resectable cancers with a multi-analyte blood test
- (2018) Joshua D. Cohen et al. SCIENCE
- Multiplex immunohistochemistry accurately defines the immune context of metastatic melanoma
- (2018) H. Halse et al. Scientific Reports
- Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
- (2018) Theo A. Knijnenburg et al. Cell Reports
- AI can be sexist and racist — it’s time to make it fair
- (2018) James Zou et al. NATURE
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Lung Cancer Screening Inconsistent With U.S. Preventive Services Task Force Recommendations
- (2018) Thomas B. Richards et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
- (2018) Niha Beig et al. RADIOLOGY
- Artificial Intelligence and Big Data in Public Health
- (2018) Kurt Benke et al. International Journal of Environmental Research and Public Health
- Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
- (2018) Alejandro Rodriguez-Ruiz et al. JNCI-Journal of the National Cancer Institute
- Clinical multi-omics strategies for the effective cancer management
- (2017) Byong Chul Yoo et al. Journal of Proteomics
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- LinkedOmics: analyzing multi-omics data within and across 32 cancer types
- (2017) Suhas V Vasaikar et al. NUCLEIC ACIDS RESEARCH
- Progress and prospects of early detection in lung cancer
- (2017) Sean Blandin Knight et al. Open Biology
- Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports
- (2017) Carlton R. Moore et al. Journal of Patient Safety
- Automatic Lung-RADS™ classification with a natural language processing system
- (2017) Sebastian E. Beyer et al. Journal of Thoracic Disease
- 1,500 scientists lift the lid on reproducibility
- (2016) Monya Baker NATURE
- Integrated multi-omics analysis of oligodendroglial tumours identifies three subgroups of 1p/19q co-deleted gliomas
- (2016) Aurélie Kamoun et al. Nature Communications
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- Natural Language Processing in Oncology
- (2016) Wen-wai Yim et al. JAMA Oncology
- ACG Clinical Guideline: Diagnosis and Management of Barrett’s Esophagus
- (2015) Nicholas J Shaheen et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Recent Trends in the Identification of Incidental Pulmonary Nodules
- (2015) Michael K. Gould et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients
- (2015) Yizhao Ni et al. BMC Medical Informatics and Decision Making
- Cancer detection in primary care: insights from general practitioners
- (2015) T Green et al. BRITISH JOURNAL OF CANCER
- Stage at diagnosis and early mortality from cancer in England
- (2015) S McPhail et al. BRITISH JOURNAL OF CANCER
- Functional Radiotherapy Targeting using Focused Dose Escalation
- (2015) R. Alonzi CLINICAL ONCOLOGY
- Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer
- (2015) Alexandra M. Roch et al. HPB
- External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
- (2014) Gary S Collins et al. BMC Medical Research Methodology
- From Papyrus to the Electronic Tablet: A Brief History of the Clinical Medical Record with Lessons for the Digital Age
- (2013) Richard F. Gillum AMERICAN JOURNAL OF MEDICINE
- Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood
- (2013) Fan Zhang et al. BMC Medical Genomics
- Evaluation of risk assessment tools for suspected cancer in general practice: a cohort study
- (2013) William Hamilton et al. BRITISH JOURNAL OF GENERAL PRACTICE
- Automated Identification of Patients With Pulmonary Nodules in an Integrated Health System Using Administrative Health Plan Data, Radiology Reports, and Natural Language Processing
- (2012) Kim N. Danforth et al. Journal of Thoracic Oncology
- A specific miRNA signature in the peripheral blood of glioblastoma patients
- (2011) Patrick Roth et al. JOURNAL OF NEUROCHEMISTRY
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
- (2011) Samuel G. Armato et al. MEDICAL PHYSICS
- Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
- (2011) NEW ENGLAND JOURNAL OF MEDICINE
- A Logistic Regression Model Based on the National Mammography Database Format to Aid Breast Cancer Diagnosis
- (2009) Jagpreet Chhatwal et al. AMERICAN JOURNAL OF ROENTGENOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now