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Papers citing Artificial intelligence for breast cancer screening: Opportunity or hype?

  1. Rapid review: radiomics and breast cancer

    Breast Cancer Research and Treatment · 2018

    Francesca Valdora, Nehmat Houssami, Federica Rossi, Massimo Calabrese, Alberto Stefano Tagliafico

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

    Archives of Pathology & Laboratory Medicine · 2018

    Ralph Green, Michael A. Hogarth, Michael B. Prystowsky, Hooman H. Rashidi

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  3. Current methods of breast cancer diagnosis

    Bionatura · 2018

    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

    Clinical Imaging · 2018

    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

    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

    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

    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)

    Molecular Diagnosis & Therapy · 2018

    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

    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

    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

    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

    Nehmat Houssami, Georgia Kirkpatrick-Jones, Naomi Noguchi, Christoph I. Lee

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  13. Breast cancer imaging - A rapidly evolving discipline

    The Breast · 2019

    Fredrik Strand, Sophia Zackrisson

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

    Portland International Conference on Management of Engineering and Technology (PICMET) · 2019

    Tran Le Nguyen, Thi Thu Ha Do

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  15. Breast Cancer Detection Based on Deep Learning Technique

    Venue not supplied by source · 2019

    Nur Syahmi Ismail, Sovuthy Cheab

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

    International Journal of Information Management · 2019

    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

    PeerJ · 2019

    Abhimanyu S. Ahuja

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  18. A ARTIFICIAL INTELLIGENCE AND BREAST RADIOLOGY

    Mastology · 2019

    Cicero A. Urban

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

    The Breast · 2019

    Stacy M. Carter, Wendy Rogers, Khin Than Win, Helen M. L. Frazer, Bernadette J. Richards, Nehmat Houssami

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

    Diagnostics · 2019

    Dina A. Ragab, Maha Sharkas, Omneya Attallah

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  21. Overview of radiomics in breast cancer diagnosis and prognostication

    The Breast · 2019

    Alberto Stefano Tagliafico, Michele Piana, Daniela Schenone, Rita Lai, Anna Maria Massone, Nehmat Houssami

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  22. Implementation of Artificial Intelligence Techniques for Cancer Detection

    Augmented Human Research · 2019

    Darshan Patel, Yash Shah, Nisarg Thakkar, Kush Shah, Manan Shah

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  23. Teaching cross-cultural design thinking for healthcare

    The Breast · 2020

    Mafalda Falcão Ferreira, Julia N. Savoy, Mia K. Markey

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  24. Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition

    Journal of Intelligent & Fuzzy Systems · 2020

    Daniela Sánchez, Patricia Melín, Oscar Castillo

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

    JAMA Network Open · 2020

    Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee, Yaroslav V. Nikulin, Dezső Ribli, Yuanfang Guan, William E. Lotter, Zequn Jie, Hao Yang Du, Sijia Wang, Jiashi Feng, Mengling Feng, Hyoeun Kim, Francisco Albiol, Alberto Albiol, Stephen L. Morrell, Zbigniew Wojna, Mehmet Eren Ahsen, Umar Asif, Antonio Jimeno Yepes, Shivanthan A.C. Yohanandan, Simona Rabinovici‐Cohen, Darvin Yi, Bruce Hoff, Thomas Von Yu, Elias Chaibub Neto, Daniel L. Rubin, Peter Lindholm, Laurie R. Margolies, Russell B. McBride, Joseph H. Rothstein, Weiva Sieh, Rami Ben‐Ari, Stefan Harrer, Andrew Daniel Trister, Stephen Henry Friend, Thea Norman, Berkman Sahiner, Fredrik Strand, Justin Guinney, Gustavo A. Stolovitzky, Lester Mackey, Joyce Cahoon, Li Shen, Jae Ho Sohn, Hari Trivedi, Yiqiu Shen, Ljubomir J. Buturović, José Costa Pereira, Jaime S. Cardoso, Eduardo Castro, Karl Trygve Kalleberg, Obioma Pelka, Imane Nedjar, Krzysztof J. Geras, Felix Nensa, Ethan Goan, Sven Koitka, Luis Caballero, David Cox, Pavitra Krishnaswamy, Gaurav Shankar Pandey, Christoph M. Friedrich, Dimitri Perrin, Clinton Fookes, Bibo Shi, Gerard Cardoso Negrie, Michael G. Kawczynski, Kyunghyun Cho, Can Son Khoo, Joseph Yuan-Chieh Lo, Alma Gregory Sorensen, Hwejin Jung

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  26. Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies

    International Journal of Environmental Research and Public Health · 2020

    Javier Mauricio Medina Salcedo, Goldie Oza, Ashutosh Kumar Sharma, L. Arriaga, José Manuel Hernández Hernández, Vincent M. Rotello, José Tapia-Ramı́rez

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  27. Staying abreast of imaging – Current status of breast cancer detection in high density breast

    Radiography · 2020

    Diamond Ghieh, Charbel Saade, Elie Najem, R. El Zeghondi, Mohammad Ahmmad Rawashdeh, Ghina Berjawi

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  28. A brief introduction to concepts and applications of artificial intelligence in dental imaging

    Oral Radiology · 2020

    Ruben Pauwels

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  29. Electronic Personhood: A Tertium Genus for Smart Autonomous Surgical Robots?

    Data science, machine intelligence, and law · 2020

    Tomás Gabriel García-Micó

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

    Journal of the American Medical Informatics Association · 2020

    Nathaniel Hendrix, Brett Hauber, Christoph I. Lee, Aasthaa Bansal, David Leroy Veenstra

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  31. Blueprint for cancer research: Critical gaps and opportunities

    CA A Cancer Journal for Clinicians · 2020

    Lynne W. Elmore, Susanna Fletcher Greer, Elvan C. Daniels, Charles C. Saxe, Michael H. Melner, Ginger M. Krawiec, William G. Cance, William C. Phelps

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

    Voprosy Onkologii · 2020

    A. G. Ovsyannikov, С. А. Морозов, Veronika G. Govorukhina, Диденко Вера Владимировна, Olga Puchkova, Nikolay A. Pavlov, Анна Евгеньевна Андрейченко, N. V. Ledikhova, Anton V. Vladzymyrskyy

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  33. Deep Learning-Based Artificial Intelligence for Mammography

    Korean Journal of Radiology · 2021

    Jung Hyun Yoon, Eun‐Kyung Kim

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  34. Emerging Technologies in Breast Cancer Screening and Diagnosis

    Springer eBooks · 2021

    Avice M. O’Connell, Daniel Kawakyu-O’Connor

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

    BMJ Health & Care Informatics · 2021

    Ian A Scott, Stacy M. Carter, Enrico W Coiera

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

    PubMed · 2021

    Yan Ding, Mengxue Han, Yueping Liu

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  37. Usage of Artificial Intelligence in Public Health

    DergiPark (Istanbul University) · 2021

    Halit Emin Alıcılar, Meltem Çöl

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  38. Halk Sağlığında Yapay Zekanın Kullanımı

    Uludağ Üniversitesi Tıp Fakültesi Dergisi · 2021

    Halit Emin Alıcılar, Meltem Çöl

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  39. Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms

    Frontiers in Big Data · 2021

    Samuel Danso, Zhanhang Zeng, Graciela Muniz Terrera, Craig Ritchie

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

    Cancers · 2021

    Domiziana Santucci, Eliodoro Faiella, Ermanno Cordelli, Alessandro Calabrese, Roberta Landi, Carlo de Felice, Bruno Beomonte Zobel, Rosario Francesco Grasso, Giulio Iannello, Paolo Soda

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

    Applied Sciences · 2021

    Ahmad Ashraf Abdul Halim, Allan Melvin Andrew, Mohd Najib Mohd Yasin, Mohd Amiruddin Abd Rahman, Muzammil Jusoh, Vijayasarveswari Veeraperumal, Hasliza A. Rahim, Usman Illahi, Muhammad Khalis Abdul Karim, Edgar Scavino

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

    Journal of Pharmaceutical Negative Results · 2022

    Aziz Unnisa

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  43. Classification of Breast Cancer Histopathology Images Using EfficientNet Architectures

    Lecture notes in networks and systems · 2022

    Aditi Kajala, Sandeep Jaiswal

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  44. Detection and Classification of Breast Cancer Using CNN

    Transactions on computer systems and networks · 2022

    R. Hariharan, M. Dhilsath Fathima, Arish Pitchai, Vibek Jyoti Roy, Abhishek Padhi

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

    Journal of the American College of Radiology · 2022

    Anna W. Anderson, M. Luke Marinovich, Nehmat Houssami, Kathryn P. Lowry, Joann G. Elmore, Diana S.M. Buist, Solveig S. H. Hofvind, Christoph I. Lee

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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

    Philosophy & Technology · 2022

    Florian Funer

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

    Frontiers in Oncology · 2022

    Yun Wan, Yunfei Tong, Yuanyuan Liu, Yan Huang, Guoyan Yao, Daniel Q. Chen, Bo Liu

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

    Computer Methods and Programs in Biomedicine · 2022

    Asma Baccouche, Begonya García-Zapirain, Yufeng Zheng, Adel Said Elmaghraby

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

    European Radiology · 2022

    Xueping Jing, Mirjam Wielema, Ludo Johannes Cornelissen, Margo van Gent, Willie M. Iwema, Sunyi Zheng, Paul E. Sijens, Matthijs Oudkerk, Monique D. Dorrius, Peter M. A. van Ooijen

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

    Frontiers in Neuroscience · 2022

    Lianlian Zhang, Qi Lyu, Yafang Ding, Chunhong Hu, Pinjing Hui

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