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RESEARCH PAPER · The Breast · 2017

Artificial intelligence for breast cancer screening: Opportunity or hype?

Nehmat Houssami, Christoph I. Lee, Diana S.M. Buist, Dacheng Tao

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Artificial intelligence for breast cancer screening: Opportunity or hype?OriginalRapid review: radiomics and breast cancer258The Job Market Outlook for Residency Graduates: Clear Weather Ahead for the Butterflies?2Current methods of breast cancer diagnosis0Artificial intelligence in clinical imaging: An introduction2Using Artificial Intelligence in an Intelligent Way to Improve Efficiency of a Heart Failure Care Team4AI-Driven Automation in a Human-Centered Cyber World14The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part II)27The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part I)26Artificial Intelligence for Breast Cancer Imaging: The New Frontier?14The Future of Healthcare Facilities: How Technology and Medical Advances May Shape Hospitals of the Future34What the radiologist should know about artificial intelligence – an ESR white paper320Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice185Breast cancer imaging - A rapidly evolving discipline5Artificial Intelligence in Healthcare: A New Technology Benefit for Both Patients and Doctors55Breast Cancer Detection Based on Deep Learning Technique95Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy4535The impact of artificial intelligence in medicine on the future role of the physician786A ARTIFICIAL INTELLIGENCE AND BREAST RADIOLOGY1The ethical, legal and social implications of using artificial intelligence systems in breast cancer care311Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers80Overview of radiomics in breast cancer diagnosis and prognostication309Implementation of Artificial Intelligence Techniques for Cancer Detection71Teaching cross-cultural design thinking for healthcare27Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition76Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms408Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies333Staying abreast of imaging – Current status of breast cancer detection in high density breast6A brief introduction to concepts and applications of artificial intelligence in dental imaging55Electronic Personhood: A Tertium Genus for Smart Autonomous Surgical Robots?3Artificial intelligence in breast cancer screening: primary care provider preferences53Blueprint for cancer research: Critical gaps and opportunities114Prospect of application of artificial intelligence systems for breast cancer screening8Deep Learning-Based Artificial Intelligence for Mammography87Emerging Technologies in Breast Cancer Screening and Diagnosis0Clinician checklist for assessing suitability of machine learning applications in healthcare143[AI-assisted Prediction of Lymph Node Metastasis of Breast Cancer: Current and Prospective Research].1Usage of Artificial Intelligence in Public Health0Halk Sağlığında Yapay Zekanın Kullanımı9Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms69The Impact of Tumor Edema on T2-Weighted 3T-MRI Invasive Breast Cancer Histological Characterization: A Pilot Radiomics Study31Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review60A Validation Study Involving Development of Model by Application of Artificial Intelligence in Screening and Prognosis of Breast Cancer0Classification of Breast Cancer Histopathology Images Using EfficientNet Architectures9Detection and Classification of Breast Cancer Using CNN2Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review61Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship16Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography5Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques66Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time43Texture Analysis Based on Vascular Ultrasound to Identify the Vulnerable Carotid Plaques19Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database48Accounting for diversity in AI for medicine50Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms17Développement de l'intelligence artificielle et de la réalité augmentée dans la prise en charge personnalisée des patientes atteintes d'un cancer de l'endomètre0Radiation therapist perceptions on how artificial intelligence may affect their role and practice16Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review54Convolutional neural networks and stacked generalization ensemble method in breast cancer prognosis0Inteligência Artificial na Radiologia Médica: inovações e tecnologias atuais e futuras0Use of artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer1Using Machine Learning Algorithms to Diagnosis Melasma from Face Images4Applications of artificial intelligence in prostate cancer histopathology22Analysis of radiomic features derived from post-contrast T1-weighted images and apparent diffusion coefficient (ADC) maps for breast lesion evaluation: A retrospective study7Machine learning based Breast Cancer screening: trends, challenges, and opportunities12Applications of Artificial Intelligence in Breast Pathology48The Promise of Artificial Intelligence in Digestive Healthcare and the Bioethics Challenges It Presents25Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists28The Impact of Procedural Law on Artificial Intelligence by Improving the Healthcare Systems7Radial Basis Function Networks and Contrast-Limited Adaptive Histogram Equalization Filter Based Early-Stage Breast Cancer Detection Techniques6Realm of proteomics in breast cancer management and drug repurposing to alleviate intricacies of treatment8Artificial Intelligence‐Driven Decisions in Breast Cancer Diagnosis5Contemporary issues in applying AI applications: challenges and opportunities4Letter re: The ethics of risk-stratified cancer screening0Results of research work Russian society of oncomammologists “The use of artificial intelligence for early detection of breast cancer”5USE OF ARTIFICIAL INTELLIGENCE IN HEALTH SERVICES MANAGEMENT IN TÜRKİYE2Role of Plant-Based Anticancer Compounds in Treatment of Breast Cancer11Use of artificial intelligence to identify patients to be assessed in a breast clinic on 2-week wait: a retrospective cohort study3Benign breast dysplasia from the perspective of BI-RADS: a modern view of the problem3Application of Artificial Intelligence in the Mammographic Detection of Breast Cancer in Saudi Arabian Women10Diagnostic Test Accuracy of AI-Assisted Mammography for Breast Imaging: A Narrative Review1Dealing with AI-Is It a Pleasure or Pain?0The diagnostic, therapeutic, and ethical impact of artificial intelligence in modern medicine37Artificial intelligence in mammography: advances and challenges3Deciphering the Pathways Towards Analysis of Existing HealthCare Services by Use of AI to Respiratory Diseases Concerning Cough Study: Future Challenges and Applications0Engaging with artificial intelligence in mammography screening: Swedish breast radiologists’ views on trust, information and expertise14Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study7Applying Artificial Intelligence to Support the Detection and Treatment of Melasma3Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study3Current status of artificial intelligence and machine learning in breast cancer screening: A systematic review2Breast Cancer Detection Using Deep Learning2Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US14Artificial Intelligence in Early Detection: Identifying Breast Cancer Before Clinical Diagnosis0The science and practice of imaging-based screening: What the radiologist needs to know0Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet5An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection4Will Machines Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare0Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review28Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective4A novel transformers-based external attention framework for breast cancer diagnosis6Features of assessing the economic efficiency of introducing artificial intelligence into the oncology screening system (based on materials from the Sverdlovsk region)0Development of an Early Lung Cancer Diagnosis Method Based on a Neural Network2Epidemioclinical aspects of breast cancer in women under 35 years at the oncology and palliative care department of Soavinandriana Hospital0Challenges in traditional TNBC therapies0Will machines take over? Algorithms for human–machine collaborative decision making in healthcare0Deep-learning-based artificial intelligence approaches for grading and progression prediction of clear cell renal cell carcinoma0Combining artificial intelligence analysis with expert mammogram reading: Determining the optimal AI positivity cut-off point for the French population-based breast cancer screening program0AI‐Driven Multi‐Omics Integrated Applications Using Diverse Neural Networks for Breast Cancer Diagnostic Screening and Biomarker Discovery2

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  1. Rapid review: radiomics and breast cancer

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  2. The Job Market Outlook for Residency Graduates: Clear Weather Ahead for the Butterflies?

    Archives of Pathology & Laboratory Medicine · 2018-02-09

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  3. Current methods of breast cancer diagnosis

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    Universidad de Investigación de Tecnología Experimental Yachay Tech, Juan Carlos Laglaguano, Raúl Heriberto Rodríguez E, Universidad de Investigación de Tecnología Experimental Yachay Tech, Keila Franchesca Gomez Acosta, Universidad de Investigación de Tecnología Experimental Yachay Tech

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  4. Artificial intelligence in clinical imaging: An introduction

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    Anna Starikov, Subhi Jamal Alaref, Gurpreet Singh, James K. Min

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  5. Using Artificial Intelligence in an Intelligent Way to Improve Efficiency of a Heart Failure Care Team

    Journal of Cardiac Failure · 2018-04-18

    Griffin M. Weber

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  6. AI-Driven Automation in a Human-Centered Cyber World

    Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 2018-10-01

    Norris Lee Smith, Jirunya Teerawanit, Oussama H. Hamid

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  7. The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part II)

    Molecular Diagnosis & Therapy · 2018-11-01

    Tanvi P. Vaidya, Archi Agrawal, Shivani Mahajan, M. H. Thakur, Abhishek Mahajan

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  8. The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part I)

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    Tanvi P. Vaidya, Archi Agrawal, Shivani Mahajan, Meenakshi Thakur, Abhishek Mahajan

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  9. Artificial Intelligence for Breast Cancer Imaging: The New Frontier?

    JNCI Journal of the National Cancer Institute · 2018-11-29

    Christoph I. Lee, Joann G. Elmore

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  10. The Future of Healthcare Facilities: How Technology and Medical Advances May Shape Hospitals of the Future

    Hospital Practices and Research · 2019-02-28

    Mohsen Vatandoost, Sanaz Litkouhi

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  11. What the radiologist should know about artificial intelligence – an ESR white paper

    Insights into Imaging · 2019-04-04

    European Society of Radiology

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  12. Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice

    Expert Review of Medical Devices · 2019-04-19

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  13. Breast cancer imaging - A rapidly evolving discipline

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  14. Artificial Intelligence in Healthcare: A New Technology Benefit for Both Patients and Doctors

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  15. Breast Cancer Detection Based on Deep Learning Technique

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  16. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

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    Yogesh Kumar Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts A, Crispin R. Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Steven Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier‐FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra Pratap Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael David Williams

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  17. The impact of artificial intelligence in medicine on the future role of the physician

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  18. A ARTIFICIAL INTELLIGENCE AND BREAST RADIOLOGY

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  19. The ethical, legal and social implications of using artificial intelligence systems in breast cancer care

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  20. Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers

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  21. Overview of radiomics in breast cancer diagnosis and prognostication

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  22. Implementation of Artificial Intelligence Techniques for Cancer Detection

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  23. Teaching cross-cultural design thinking for healthcare

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  25. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

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  30. Artificial intelligence in breast cancer screening: primary care provider preferences

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  31. Blueprint for cancer research: Critical gaps and opportunities

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  32. Prospect of application of artificial intelligence systems for breast cancer screening

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  33. Deep Learning-Based Artificial Intelligence for Mammography

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  34. Emerging Technologies in Breast Cancer Screening and Diagnosis

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  35. Clinician checklist for assessing suitability of machine learning applications in healthcare

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  36. [AI-assisted Prediction of Lymph Node Metastasis of Breast Cancer: Current and Prospective Research].

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  37. Usage of Artificial Intelligence in Public Health

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  38. Halk Sağlığında Yapay Zekanın Kullanımı

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  40. The Impact of Tumor Edema on T2-Weighted 3T-MRI Invasive Breast Cancer Histological Characterization: A Pilot Radiomics Study

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  41. Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

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  42. A Validation Study Involving Development of Model by Application of Artificial Intelligence in Screening and Prognosis of Breast Cancer

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  43. Classification of Breast Cancer Histopathology Images Using EfficientNet Architectures

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  44. Detection and Classification of Breast Cancer Using CNN

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  45. Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review

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  46. Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship

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  47. Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography

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  48. Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques

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  49. Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time

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  50. Texture Analysis Based on Vascular Ultrasound to Identify the Vulnerable Carotid Plaques

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