Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
Schaffter, Thomas, Buist, Diana S. M., Lee, Christoph I., Nikulin, Yaroslav, Ribli, Dezso, Guan, Yuanfang, Lotter, William, Jie, Zequn +66 more·2020·JAMA Network Open
Cited by (420)
Items 101–200 of 420
- Artificial Intelligence in Radiology: Opportunities and ChallengesFlory, Marta N., Napel, Sandy, Tsai, Emily B. · 2024 · Seminars in Ultrasound, CT and MRI
- Development of an explainable artificial intelligence model for Asian vascular wound imagesZhiwen Joseph Lo, Malcolm Han Wen Mak, Shanying Liang, Yam Meng Chan, Cheng Cheng Goh, Tina Peiting Lai, Audrey Hui Min Tan, P Thng, Jorge Rodriguez, Tillman Weyde et al. · 2023 · International Wound Journal
- Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision DiagnosisJames H. Thrall, David Paul Fessell, Pari V. Pandharipande · 2021 · Journal of the American College of Radiology
- Procurement, commissioning and QA of AI based solutions: An MPE’s perspective on introducing AI in clinical practiceHilde Bosmans, Federica Zanca, Frederik Gelaude · 2021 · Physica Medica
- Multi-Task Fusion for Improving Mammography Screening Data ClassificationMaria Wimmer, Gert Sluiter, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Katja Bühler · 2021 · IEEE Transactions on Medical Imaging
- An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesionsYu Ito, Ai Miyoshi, Yutaka Ueda, Yusuke Tanaka, Ruriko Nakae, Akiko Morimoto, Mayu Shiomi, Takayuki Enomoto, Masayuki Sekine, Toshiyuki Sasagawa et al. · 2021 · Molecular and Clinical Oncology
- Curation of the CANDID-PTX Dataset with Free-Text ReportsSijing Feng, Damian Azzollini, Ji Soo Kim, Cheng-Kai Jin, Simon P Gordon, Jason Yeoh, Eve Kim, Mina Han, Andrew Lee, Aakash Patel et al. · 2021 · Radiology Artificial Intelligence
- From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell CarcinomaSimona Rabinovici‐Cohen, Naomi Fridman, Michal Weinbaum, Eli Melul, Efrat Hexter, Michal Rosen‐Zvi, Yelena Aizenberg, Dalit Porat Ben Amy · 2024 · Cancers
- Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic reviewAileen Zeng, Nehmat Houssami, Naomi Noguchi, Brooke Nickel, M. Luke Marinovich · 2024 · Breast Cancer Research and Treatment
- Impact of image compression on deep learning-based mammogram classificationYong‐Yeon Jo, Young Sang Choi, Hyun Woo Park, Jae Hyeok Lee, Hyojung Jung, Kim Hyo-Eun, Kyounglan Ko, Chan Wha Lee, Hyo Soung Cha, Yul Hwangbo · 2021 · Scientific Reports
- Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementationThiemo J. A. van Nijnatten, Nicholas Roy Payne, Sarah E. Hickman, Hutan Ashrafian, Fiona J. Gilbert · 2023 · European Journal of Radiology
- An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosisReza Elahi, Mahdis Nazari · 2024 · Radiological Physics and Technology
- How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?Roman David Bülow, Daniel Dimitrov, Peter Boor, Julio Sáez-Rodríguez · 2021 · Seminars in Immunopathology
- Anomaly Detection of Calcifications in Mammography Based on 11,000 Negative CasesRui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, E. Shelley Hwang, Joseph Y. Lo · 2021 · IEEE Transactions on Biomedical Engineering
- Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre studyMohammad Talal Elhakim, Sarah Wordenskjold Stougaard, Ole Graumann, Mads Nielsen, Kristina Lång, Oke Gerke, Lisbet Brønsro Larsen, Benjamin Schnack Rasmussen · 2023 · Cancer Imaging
- Development and Validation of a Deep Learning Algorithm to Differentiate Colon Carcinoma From Acute Diverticulitis in Computed Tomography ImagesSebastian Ziegelmayer, Stefan Reischl, Hannah Havrda, Joshua F. Gawlitza, Markus M. Graf, Nicolas S. Lenhart, Nadja Nehls, Tristan Lemke, Dirk Wilhelm, Fabian Karl Lohöfer et al. · 2023 · JAMA Network Open
- Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography dataSubhrajit Roy, Isabell Kiral-Kornek, Mahtab Mirmomeni, Todd Mummert, Alan Braz, Jason Tsay, Jianbin Tang, Umar Asif, Thomas Schaffter, Mehmet Eren Ahsen et al. · 2021 · EBioMedicine
- Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography InterpretationNathaniel Hendrix, Kathryn P. Lowry, Joann G. Elmore, William E. Lotter, Alma Gregory Sorensen, William W.Y. Hsu, Geraldine J. Liao, Sana Parsian, Suzanne Kolb, Arash Naeim et al. · 2022 · Journal of the American College of Radiology
- Virtual Biopsy by Using Artificial Intelligence–based Multimodal Modeling of Binational Mammography DataVesna Barros, Tal Tlusty, Ella Barkan, Efrat Hexter, David Gruen, Michal Guindy, Michal Rosen‐Zvi · 2022 · Radiology
- A deep learning architecture with an object-detection algorithm and a convolutional neural network for breast mass detection and visualizationSteven J. Frank · 2023 · Healthcare Analytics
- Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammogramsJohanne Kühl, Mohammad Talal Elhakim, Sarah Wordenskjold Stougaard, Benjamin Schnack Rasmussen, Mads Nielsen, Oke Gerke, Lisbet Brønsro Larsen, Ole Graumann · 2023 · European Radiology
- Saliency of breast lesions in breast cancer detection using artificial intelligenceSaid D. Pertuz, David Ortega, Érika Suarez, William Cancino, Gerson Africano, Irina C. Rinta-Kiikka, Otso Arponen, Sara Paris, Alfonso Lozano · 2023 · Scientific Reports
- Does artificial intelligence aid in the detection of different types of breast cancer?Mariam Raafat, Sahar Mahmoud Mansour, Rasha Mohamed Kamal, Hedaya W. Ali, Passant Essam Eldin Shibel, Ahmed Marey, Sherif Nasser Taha, Basma Alkalaawy · 2022 · The Egyptian Journal of Radiology and Nuclear Medicine
- Artificial intelligence-based computer-assisted detection/diagnosis (AI-CAD) for screening mammography: Outcomes of AI-CAD in the mammographic interpretation workflowJung Hyun Yoon, Kyunghwa Han, Hee Jung Suh, Ji Hyun Youk, Si Eun Lee, Eun‐Kyung Kim · 2023 · European Journal of Radiology Open
- Machine learning and new insights for breast cancer diagnosisGuo Ya, Heng Zhang, Leilei Yuan, Weidong Chen, Haibo Zhao, Qingqing Yu, Wenjie Shi · 2024 · Journal of International Medical Research
- Prediagnostic Image Data, Artificial Intelligence, and Pancreatic CancerMatthew R. Young, Natalie Abrams, Sharmistha Ghosh, Jo Ann Rinaudo, Guillermo Márquez, Sudhir Srivastava · 2020 · Pancreas
- Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and convolutional neural networksHan Chen, Anne Louise Martel · 2025 · Journal of medical imaging
- Microfluidic Technology, Artificial Intelligence, and Biosensors As Advanced Technologies in Cancer Screening: A Review ArticleJawad Noor, Ahtshamullah Chaudhry, Saima Batool · 2023 · Cureus
- GENERATOR Breast DataMart—The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future PerspectivesFabio Marazzi, Luca Tagliaferri, Valeria Masiello, Francesca Moschella, Giuseppe Ferdinando Colloca, Barbara Corvari, Alejandro Martín Sánchez, Nikola Dino Capocchiano, Roberta Pastorino, Chiara Iacomini et al. · 2021 · Journal of Personalized Medicine
- Diagnostic performance with and without artificial intelligence assistance in real-world screening mammographySi Eun Lee, Hanpyo Hong, Eun‐Kyung Kim · 2024 · European Journal of Radiology Open
- Development and Validation of an Automated Classification System for Osteonecrosis of the Femoral Head Using Deep Learning Approach: A Multicenter StudyXianyue Shen, Ziling He, Yi Shi, Tong Liu, Yuhui Yang, Jia Luo, Xiongfeng Tang, Bo Chen, Shenghao Xu, You Zhou et al. · 2023 · The Journal of Arthroplasty
- Double-reading mammograms using artificial intelligence technologies: A new model of mass preventive examination organizationYuriy A. Vasilev, Тыров Илья Александрович, Anton V. Vladzymyrskyy, Kirill M. Arzamasov, Шулькин Игорь Михайлович, Daria D. Kozhikhina, Пестренин Лев Дмитриевич · 2023 · Digital Diagnostics
- Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRIHyo‐jae Lee, Jeong Hoon Lee, Jong Eun Lee, Yong Min Na, Min Ho Park, Ji Shin Lee, Hyo Soon Lim · 2024 · Scientific Reports
- Artificial Intelligence Detection of Missed Cancers at Digital Mammography That Were Detected at Digital Breast TomosynthesisVictor Dahlblom, Ingvar Andersson, Kristina Lång, Anders Tingberg, Sophia Zackrisson, Magnus Dustler · 2021 · Radiology Artificial Intelligence
- A YOLO-based AI system for classifying calcifications on spot magnification mammogramsJianling Chen, Lan-Hsin Cheng, Jane Wang, Tun‐Wei Hsu, Chin‐Yu Chen, Ling‐Ming Tseng, Shu‐Mei Guo · 2023 · BioMedical Engineering OnLine
- Application possibilities of artificial intelligence in facial vascularized composite allotransplantation—a narrative reviewLeonard Knoedler, Samuel A. Knoedler, Omar Allam, Katya Remy, Maximilian F. Miragall, Ali‐Farid Safi, Michael G. Alfertshofer, Bohdan Pomahač, Martin Kauke‐Navarro · 2023 · Frontiers in Surgery
- How long does it take to read a mammogram? Investigating the reading time of digital breast tomosynthesis and digital mammographyGeorge J. W. Partridge, Iain T. Darker, Jonathan J. James, Keshthra Satchithananda, Nisha Sharma, Alexandra Valencia, William Teh, Humaira Khan, Elizabeth Muscat, Michael James Michell et al. · 2024 · European Journal of Radiology
- Triaging mammography with artificial intelligence: an implementation studySarah M. Friedewald, Marcin Sieniek, Sunny Jansen, Fereshteh Mahvar, Timo Kohlberger, David V. Schacht, Sonya Bhole, Dipti Gupta, Shruthi Prabhakara, Scott Mayer McKinney et al. · 2025 · Breast Cancer Research and Treatment
- Detecting Asymmetric Patterns and Localizing Cancers on MammogramsYuanfang Guan, Xueqing Wang, Hongyang Li, Zhenning Zhang, Xianghao Chen, Omer Siddiqui, Sara M. Nehring, Xiuzhen Huang · 2020 · Patterns
- Review of AI & XAI-based breast cancer diagnosis methods using various imaging modalitiesR. Karthiga, Kumaravelu Narasimhan, V Thanikaiselvan, M. Hemalatha, Rengarajan Amirtharajan · 2024 · Multimedia Tools and Applications
- Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer PredictionHung Q. Vo, Hung Q. Vo, Kelvin Wong, Kelvin K Wong, Chika F. Ezeana, Xiaohui Yu, Wei Yang, Jenny C. Chang, Hien Van Nguyen, Stephen T.C. Wong · 2024 · IEEE Journal of Biomedical and Health Informatics
- A Semiautonomous Deep Learning System to Reduce False Positives in Screening MammographyStefano Pedemonte, Trevor T. Tsue, Brent Mombourquette, Yen Nhi Truong Vu, Thomas P. Matthews, Rodrigo Morales Hoil, Meet Shah, Nikita Ghare, Naomi Zingman-Daniels, Susan Holley et al. · 2024 · Radiology Artificial Intelligence
- Artificial Intelligence Research and Its Contributions to the European Union’s Political Governance: Comparative Study between Member StatesJoão Carlos Gonçalves dos Reis, Paula Espírito Santo, Nuno Filipe Melão · 2020 · Social Sciences
- Classification performance bias between training and test sets in a limited mammography datasetRui Hou, Joseph Yuan-Chieh Lo, Jeffrey R. Marks, Esther Hwang, Lars J. Grimm · 2024 · PLoS ONE
- Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performanceLaura Kerschke, Stefanie Weigel, Alejandro Rodríguez‐Ruiz, Nico Karssemeijer, Walter Leonhard Heindel · 2021 · European Radiology
- The utilization of artificial intelligence applications to improve breast cancer detection and prognosisWalaa M. Alsharif · 2023 · Saudi Medical Journal
- Artificial intelligence in paediatric endocrinology: conflict or cooperationPaul Dimitri, Martin Oswald Savage · 2024 · Journal of Pediatric Endocrinology and Metabolism
- AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen NorwayMarie Burns Bergan, Marthe Larsen, Nataliia Moshina, Hauke Bartsch, Henrik Wethe Koch, Hildegunn Siv Aase, Zhanbolat Satybaldinov, Ingfrid Helene Salvesen Haldorsen, Christoph I. Lee, Solveig S. H. Hofvind · 2024 · European Radiology
- A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and HospitalizationYao Yan, Thomas Schaffter, Timothy R. Bergquist, Thomas Von Yu, Justin Prosser, Zafer Aydın, Amhar Jabeer, Ivan Brugere, Jifan Gao, Guanhua Chen et al. · 2021 · JAMA Network Open
- Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networksHongna Tan, Qingxia Wu, Yaping Wu, Bingjie Zheng, Bo Wang, Yan Chen, Lijuan Du, Jing Zhou, Fangfang Fu, Huihui Guo et al. · 2025 · Insights into Imaging
- ‘Humans think outside the pixels’ – Radiologists’ perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical settingJennifer Viberg Johansson, Emma Engström · 2024 · Health Informatics Journal
- Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident PerformanceJeffrey D. Rudie, Jeffrey Duda, Michael Tran Duong, Po‐Hao Chen, Long Xie, Robert M. Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis et al. · 2021 · Journal of Imaging Informatics in Medicine
- The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspectiveAbdulaziz Barakat, Omar Mobarak, Haroon Ahmed Javaid, Mhd Rasheed Awad, Karam Hamweyah, Abderrahman Ouban, Selwa A.F. Al-Hazzaa · 2023 · Frontiers in Medicine
- Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for MammographySi Eun Lee, Hanpyo Hong, Eun‐Kyung Kim · 2024 · Korean Journal of Radiology
- Economics of AI and human task sharing for decision making in screening mammographyMehmet Eren Ahsen, Mehmet Ayvaci, Radha V. Mookerjee, Gustavo A. Stolovitzky · 2025 · Nature Communications
- The Economic Impact of AI on Breast ImagingDana H. Smetherman, Lauren Parks Golding, Linda P. Moy, Eric J. Rubin · 2022 · Journal of Breast Imaging
- Implementation of digital technologies in the medicine of the futureTokhir Kh. Rakhimov, Mukhtar Mukhamediev · 2022 · Futurity Medicine.
- Interactive system based on artificial intelligence and robotic arm to enhance arabic sign language learning in deaf childrenImane Nedjar, Mohammed M’hamedi · 2024 · Education and Information Technologies
- Artificial intelligence for the real world of breast screeningMatthew Wallis · 2021 · European Journal of Radiology
- Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine LearningHyo‐jae Lee, Anh-Tien Nguyen, So Yeon Ki, Jong Eun Lee, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Hye Jung Kim, Ilwoo Park, Hyo Soon Lim · 2021 · Frontiers in Oncology
- Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNsAna Margarida Mota, Matthew J. Clarkson, Pedro Miguel Dinis Almeida, Nuno Matela · 2022 · Journal of Imaging
- Symmetry-based regularization in deep breast cancer screeningEduardo Castro, José Costa Pereira, Jaime S. Cardoso · 2022 · Medical Image Analysis
- Classifying sex with volume-matched brain MRIMatthis Ebel, Martin Domín, Nicola Neumann, Carsten Oliver Schmidt, Martín Lotze, Mario Stanke · 2023 · Neuroimage Reports
- Artificial intelligence across oncology specialties: current applications and emerging toolsJohn Kang, Kyle Jon Lafata, Ellen Kim, Christopher M. K. L. Yao, Frank P. Y. Lin, Tim Rattay, Harsha Nori, Evangelia Katsoulakis, Christoph I. Lee · 2024 · BMJ Oncology
- Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networksHuong Hoang Luong, Hải Thanh Nguyễn, Nguyen Thai-Nghe · 2024 · Journal of Information and Telecommunication
- Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in EnglandLauren Gatting, Syeda Ahmed, Priscilla Meccheri, Rumana S. N. Newlands, Angie A. Kehagia, Jo Waller · 2024 · BMJ Public Health
- MammoDG: Generalisable Deep Learning Advances Cross-Domain Multi-Center Breast Cancer ScreeningYijun Yang, Shujun Wang, Lihao Liu, Sarah E. Hickman, Fiona J. Gilbert, Carola‐Bibiane Schönlieb, Angelica I. Avilés-Rivero · 2026 · International Journal of Computer Vision
- Cranial Computer Tomography with Photon Counting and Energy-Integrated Detectors: Objective Comparison in the Same PatientsAnna Klempka, Alexander Schröder, Philipp Neumayer, Christoph Groden, Sven Clausen, Svetlana Hetjens · 2024 · Diagnostics
- Navigating the Metaverse: A New Virtual Tool with Promising Real Benefits for Breast Cancer PatientsWeronika Magdalena Żydowicz, Jarosław Skokowski, Luigi Marano, Karol Połom · 2024 · Journal of Clinical Medicine
- Global disparities in artificial intelligence-based mammogram interpretation for breast cancer: A scientometric analysis of representation, trends, and equityIsabele Ayumi Miyawaki, Imon Banerjee, Felipe Batalini, Carlos Alberto Campello Jorge, Leo Anthony Celi, Marisa Cobanaj, Edward Christopher Dee, Judy Wawira Gichoya, Zaphanlene Y. Kaffey, Maxwell Roger Lloyd et al. · 2025 · European Journal of Cancer
- Evaluation of an artificial intelligence support system for breast cancer screening in Chinese people based on mammogramChengzhen Bao, Jie Shen, Yue Zhang, Yan Zhang, Wei Wei, Ziteng Wang, Jia Ding, Lili Han · 2022 · Cancer Medicine
- Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022Ural Koç, Ebru Akçapınar Sezer, Yaşar Alper Özkaya, Yasin Yarbay, Muhammed Said Beşler, Onur Taydaş, Ahmet Yalçın, Şehnaz Evrimler, Hüseyin Alper Kızıloğlu, Uğur Kesimal et al. · 2023 · European Radiology
- Artificial intelligence methods available for cancer researchAnkita Murmu, Balázs Győrffy · 2024 · Frontiers of Medicine
- Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human ReadersSarah E. Hickman, Nicholas Roy Payne, Richard T Black, Yuan Huang, Andrew Nicholas Priest, Sue M Hudson, Bahman Kasmai, Arne Juette, Muzna Nanaa, Fiona J. Gilbert · 2024 · Radiology
- Artificial intelligence versus radiologists in detecting early-stage breast cancer from mammograms: a meta-analysis of paradigm shiftsHashim Talib Hashim, Ahmed Qasim Mohammed Alhatemi, Motaz Daraghma, Hossam Tharwat Ali, Mudassir Ahmad Khan, Fatimah Abdullah Sulaiman, Zahraa Hussein Ali, Mohanad Ahmed Sahib, Ahmed Dheyaa Al‐Obaidi, Ammar Al‐Obaidi · 2025 · Polish Journal of Radiology
- Breast Mass Detection With Faster R-CNN: On the Feasibility of Learning From Noisy AnnotationsSina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti · 2021 · IEEE Access
- Artificial intelligence: Advances and new frontiers in medical imagingMarc Fromherz, Mina S. Makary · 2022 · Artificial Intelligence in Medical Imaging
- Machine learning based Breast Cancer screening: trends, challenges, and opportunitiesAsma Zizaan, Ali Idri · 2023 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
- Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matchingKarin Dembrower, Mattie Salim, Martin Eklund, Peter Lindholm, Fredrik Strand · 2023 · Journal of medical imaging
- Considerations for the application of artificial intelligence in vascular surgical educationDavid Andrew Rigberg, Jeffrey Jim · 2023 · Seminars in Vascular Surgery
- Application of Artificial Intelligence in the Mammographic Detection of Breast Cancer in Saudi Arabian WomenRowa Aljondi, Salem Saeed Alghamdi, Abdulrahman Amin Tajaldeen, Shareefah A Alassiri, Monagi Hassan Alkinani, Thomas Bertinotti · 2023 · Applied Sciences
- Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistanceMarlina Tanty Ramli Hamid, Nazimah Ab Mumin, Shamsiah Abdul Hamid, Natasha Mohd Ariffin, Khariah Mat Nor, Ernisha Saib, Nurul Amira Mohamed · 2025 · PLoS ONE
- The Fermi–Dirac distribution provides a calibrated probabilistic output for binary classifiersSung‐Cheol Kim, Adith S. Arun, Mehmet Eren Ahsen, ROBERT M. VOGEL, Gustavo A. Stolovitzky · 2021 · Proceedings of the National Academy of Sciences
- Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography TriageTara Retson, Alyssa T. Watanabe, Hoanh Vu, Chi Yung Chim · 2022 · Journal of Breast Imaging
- Artificial intelligence to complement rather than replace radiologists in breast screeningSian Taylor‐Phillips, Karoline Freeman · 2022 · The Lancet Digital Health
- The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test setsJin Quan Xu, He-Li Xu, Yining Cao, Ying Huang, Song Gao, Qi‐Jun Wu, Ting‐Ting Gong · 2023 · Diabetes & Metabolic Syndrome Clinical Research & Reviews
- Artificial intelligence-based computer-aided diagnosis abnormality score trends in the serial mammography of patients with breast cancerSi Eun Lee, Kyunghwa Han, Miribi Rho, Eun‐Kyung Kim · 2024 · European Journal of Radiology
- Harnessing Unsupervised Ensemble Learning for Biomedical Applications: A Review of Methods and AdvancesMehmet Eren Ahsen · 2025 · Mathematics
- Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysisP. Xue, M. Si, Dongxu Qin, Bing-Hui Wei, S. Seery, Zi-Chen Ye, Mingyang Chen, Sumeng Wang, Cheng Song, Bo Zhang et al. · 2022 · Journal of Medical Internet Research
- An International Non-Inferiority Study for the Benchmarking of AI for Routine Radiology Cases: Chest X-ray, Fluorography and MammographyKirill M. Arzamasov, Yuriy Aleksandrovich Vasilev, Anton V. Vladzymyrskyy, Olga V. Omelyanskaya, Шулькин Игорь Михайлович, Daria D. Kozhikhina, Inna Goncharova, Pavel Gelezhe, Yury Kirpichev, Tatiana Bobrovskaya et al. · 2023 · Healthcare
- Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic ImagesV. А. Solodkiy, А. Д. Каприн, Н. В. Нуднов, Natalya V. Kharchenko, Ольга Сергеевна Ходорович, Запиров Гаджимурад Магомедович, T. V. Sherstneva, Sh. M. Dibirova, L. B. Kanakhina · 2023 · Journal of radiology and nuclear medicine
- Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence softwareHee Jeong Kim, Woo Jung Choi, Hye Yun Gwon, Seo Jin Jang, Eun Young Chae, Hee Jung Shin, Joo Hee Cha, Hak Hee Kim · 2023 · European Radiology
- Breast cancer detection using machine learning in digital mammography and breast tomosynthesis: A systematic reviewA. Malliori, Nicolas E. Pallikarakis · 2022 · Health and Technology
- Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysisSaeed Abdollahifard, Amirmohammad Farrokhi, Ashkan Mowla · 2022 · Journal of NeuroInterventional Surgery
- Editorial: Artificial Intelligence (AI) in Clinical Medicine and the 2020 CONSORT-AI Study GuidelinesDinah V. Parums · 2021 · Medical Science Monitor
- Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of LiteratureDeeksha Bhalla, Krithika Rangarajan, Tany Chandra, Subhashis Banerjee, Chetan Arora · 2023 · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
- An artificial intelligence‐powered PD‐L1 combined positive score ( CPS ) analyser in urothelial carcinoma alleviating interobserver and intersite variabilityKyu Sang Lee, Euno Choi, Soo Ick Cho, Seonwook Park, Jeongun Ryu, Aaron Valero Puche, Minuk Ma, Jongchan Park, Wonkyung Jung, Juneyoung Ro et al. · 2024 · Histopathology
- The Future of Breast Cancer Organized Screening Program Through Artificial Intelligence: A Scoping ReviewEmma Altobelli, Paolo Matteo Angeletti, Marco Ciancaglini, Reimondo Petrocelli · 2025 · Healthcare
- Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI ChallengeYan Chen, George J. W. Partridge, Maryam Vazirabad, Robyn L. Ball, Hari Trivedi, Felipe Kitamura, Helen M. L. Frazer, Tara Retson, Luyan Yao, Iain T. Darker et al. · 2025 · Radiology
- Artificial intelligence for breast cancer managementBryan Nicholas Chua, Dexter Kai Hao Thng, Tan Boon Toh, Dean Ho · 2026 · Communications Medicine