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Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool

https://doi.org/10.1148/ryai.2020190208
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamainternmed.2015.5231openalex-snapshot
Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection
inferredcites →https://doi.org/10.1002/cncr.20038openalex-snapshot
Breast carcinoma survival in Europe and the United States
inferredcites →https://doi.org/10.1007/s10278-019-00192-5openalex-snapshot
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography
inferredcites →https://doi.org/10.1016/j.acra.2010.09.007openalex-snapshot
Power Estimation for Multireader ROC Methods
inferredcites →https://doi.org/10.1016/j.acra.2015.08.015openalex-snapshot
Recall Rate Reduction with Tomosynthesis During Baseline Screening Examinations
inferredcites →https://doi.org/10.1016/j.jcm.2016.02.012openalex-snapshot
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
inferredcites →https://doi.org/10.1016/j.media.2016.07.007openalex-snapshot
Large scale deep learning for computer aided detection of mammographic lesions
inferredcites →https://doi.org/10.1016/s2589-7500(20)30003-0openalex-snapshot
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
inferredcites →https://doi.org/10.1038/bjc.2013.177openalex-snapshot
The benefits and harms of breast cancer screening: an independent review
inferredcites →https://doi.org/10.1038/s41586-019-1799-6openalex-snapshot
International evaluation of an AI system for breast cancer screening
inferredcites →https://doi.org/10.1038/s41598-019-48995-4openalex-snapshot
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
inferredcites →https://doi.org/10.1056/nejmoa066099openalex-snapshot
Influence of Computer-Aided Detection on Performance of Screening Mammography
inferredcites →https://doi.org/10.1056/nejmoa0803545openalex-snapshot
Single Reading with Computer-Aided Detection for Screening Mammography
inferredcites →https://doi.org/10.1097/prs.0b013e3181de24bcopenalex-snapshot
Identifying and Avoiding Bias in Research
inferredcites →https://doi.org/10.1109/tmi.2019.2945514openalex-snapshot
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
inferredcites →https://doi.org/10.1117/1.jmi.5.4.045503openalex-snapshot
Multireader sample size program for diagnostic studies: demonstration and methodology
inferredcites →https://doi.org/10.1117/12.2317937openalex-snapshot
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?
inferredcites →https://doi.org/10.1148/radiol.10091899openalex-snapshot
Mammographic Features of Breast Cancers at Single Reading with Computer-aided Detection and at Double Reading in a Large Multicenter Prospective Trial of Computer-aided Detection: CADET II
inferredcites →https://doi.org/10.1148/radiol.12120218openalex-snapshot
Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts
inferredcites →https://doi.org/10.1148/radiol.13122581openalex-snapshot
Markers of Good Performance in Mammography Depend on Number of Annual Readings
inferredcites →https://doi.org/10.1148/radiol.2017171920openalex-snapshot
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
inferredcites →https://doi.org/10.1148/radiol.2018181371openalex-snapshot
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System
inferredcites →https://doi.org/10.1148/radiol.2491072025openalex-snapshot
The “Laboratory” Effect: Comparing Radiologists' Performance and Variability during Prospective Clinical and Laboratory Mammography Interpretations
inferredcites →https://doi.org/10.1148/ryai.2019180096openalex-snapshot
Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis
inferredcites →https://doi.org/10.1371/journal.pone.0064366openalex-snapshot
If You Don’t Find It Often, You Often Don’t Find It: Why Some Cancers Are Missed in Breast Cancer Screening
inferredcites →https://doi.org/10.1371/journal.pone.0219854openalex-snapshot
Intraclass correlation – A discussion and demonstration of basic features
inferredcites →https://doi.org/10.1594/ecr2017/c-1177openalex-snapshot
Concurrent CAD with Digital Breast Tomosynthesis Improves Reading Time and Maintains Performance for Dedicated Breast Radiologists and General Radiologists
inferredcites →https://doi.org/10.2214/ajr.07.2812openalex-snapshot
Comparison of Computer-Aided Detection to Double Reading of Screening Mammograms: Review of 231,221 Mammograms
inferredcites →https://doi.org/10.2214/ajr.15.14406openalex-snapshot
Baseline Screening Mammography: Performance of Full-Field Digital Mammography Versus Digital Breast Tomosynthesis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4664541openalex-extracted
A Multi-Reader Multi-Case Study Comparing Mammographic Breast Cancer Detection Rates on Mammograms by Resident and Consultant Radiologists in Singapore with and Without the Use of AI Assistance
inferred← citeshttps://doi.org/10.1002/cam4.5231openalex-snapshot
Evaluation of an artificial intelligence support system for breast cancer screening in Chinese people based on mammogram
inferred← citeshttps://doi.org/10.1002/cncr.33862openalex-snapshot
Trio of mammography studies demonstrate enhanced screening effectiveness
inferred← citeshttps://doi.org/10.1007/978-3-031-62772-9_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-3486-9_14openalex-snapshot
AI in Breast Cancer Screening: A Comparative Analysis of Current Approach (ML)
inferred← citeshttps://doi.org/10.1007/978-981-99-6472-7_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00234-024-03351-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00330-022-09316-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00330-023-09692-zopenalex-snapshot
Effect of artificial intelligence–based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study
inferred← citeshttps://doi.org/10.1007/s00330-023-10181-6openalex-snapshot
Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
inferred← citeshttps://doi.org/10.1007/s00330-023-10254-6openalex-snapshot
Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer
inferred← citeshttps://doi.org/10.1007/s00330-023-10426-4openalex-snapshot
Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis
inferred← citeshttps://doi.org/10.1007/s00330-023-10514-5openalex-snapshot
Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support—a reader study
inferred← citeshttps://doi.org/10.1007/s00330-026-12793-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10278-022-00739-zopenalex-snapshot
Stochastic Dilated Residual Ghost Model for Breast Cancer Detection
inferred← citeshttps://doi.org/10.1007/s11547-025-02033-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11831-026-10705-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12282-022-01375-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12282-025-01741-3openalex-snapshot
Development of a deep learning-based automated diagnostic system (DLADS) for classifying mammographic lesions — a first large-scale multi-institutional clinical trial in Japan
inferred← citeshttps://doi.org/10.1007/s12553-022-00693-4openalex-snapshot
Breast cancer detection using machine learning in digital mammography and breast tomosynthesis: A systematic review
inferred← citeshttps://doi.org/10.1007/s12668-025-01980-wopenalex-snapshot
Artificial Intelligence-Assisted Design of Nanomedicines for Breast Cancer Diagnosis and Therapy: Advances, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1016/b978-0-323-95359-7.00009-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-12128-9.00003-6openalex-snapshot
Digital Healthcare
inferred← citeshttps://doi.org/10.1016/j.acra.2023.12.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ajpath.2021.06.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.canep.2026.103136openalex-snapshot
Combining artificial intelligence analysis with expert mammogram reading: Determining the optimal AI positivity cut-off point for the French population-based breast cancer screening program
inferred← citeshttps://doi.org/10.1016/j.cell.2023.01.035openalex-snapshot
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
inferred← citeshttps://doi.org/10.1016/j.clbc.2025.08.013openalex-snapshot
Diagnostic Performance of AI-Assisted Radiologists in Breast Cancer Detection Using Digital Mammography: A Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.1016/j.clinimag.2022.05.005openalex-snapshot
A review of artificial intelligence in mammography
inferred← citeshttps://doi.org/10.1016/j.cmi.2022.03.035openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ejro.2025.100723openalex-snapshot
Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes
inferred← citeshttps://doi.org/10.1016/j.ibreh.2024.100014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jacr.2021.11.008openalex-snapshot
Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review
inferred← citeshttps://doi.org/10.1016/j.jmir.2022.11.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2022.04.037openalex-snapshot
Dilated residual grooming kernel model for breast cancer detection
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inferred← citeshttps://doi.org/10.1016/j.rx.2025.501741openalex-snapshot
AI WAVEMAR: creación de un modelo de inteligencia artificial para detectar hallazgos sospechosos en la mamografía de cribado
inferred← citeshttps://doi.org/10.1016/j.rxeng.2026.501741openalex-snapshot
AI WAVEMAR: Design of an artificial intelligence model for detecting suspicious findings in screening mammography
inferred← citeshttps://doi.org/10.1016/j.senol.2025.100684openalex-snapshot
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A foundation generative model for breast ultrasound image analysis
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Heterogeneity and predictors of the effects of AI assistance on radiologists
inferred← citeshttps://doi.org/10.1038/s41591-026-04277-xopenalex-snapshot
AI-based triage and decision support in mammography and digital tomosynthesis for breast cancer screening: a paired, noninferiority trial
inferred← citeshttps://doi.org/10.1038/s41598-022-06501-3openalex-snapshot
Assessment of photoacoustic tomography contrast for breast tissue imaging using 3D correlative virtual histology
inferred← citeshttps://doi.org/10.1038/s41598-023-46921-3openalex-snapshot
Saliency of breast lesions in breast cancer detection using artificial intelligence
inferred← citeshttps://doi.org/10.1038/s41598-024-81136-0openalex-snapshot
Validation studies of the FLASH-TV system to passively measure children’s TV viewing
inferred← citeshttps://doi.org/10.1038/s41698-024-00514-zopenalex-snapshot
Diagnostic performance of deep learning in ultrasound diagnosis of breast cancer: a systematic review
inferred← citeshttps://doi.org/10.1038/s41746-023-00829-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1053/j.sult.2022.12.002openalex-snapshot
Artificial Intelligence in Breast X-Ray Imaging
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inferred← citeshttps://doi.org/10.1071/ah23275openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/17434440.2025.2514007openalex-snapshot
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Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom
inferred← citeshttps://doi.org/10.1101/2021.02.26.21252537openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/csde53843.2021.9718500openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10723843openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icmctc62214.2025.11196597openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icmi65310.2025.11141064openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/siml65326.2025.11080831openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/1754-9485.13379openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/jdv.70099openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/1.jmi.10.6.061404openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/12.2624098openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/12.2625731openalex-snapshot
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inferred← citeshttps://doi.org/10.1136/bmj.n1872openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3726122.3726267openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.210832openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.210948openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.211590openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.222639openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.223299openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.232286openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.232479openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.233391openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.242594openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/radiol.242955openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/ryai.2021200299openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/ryai.230137openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/ryai.240804openalex-snapshot
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inferred← citeshttps://doi.org/10.1148/ryai.250989openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/8517706openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/ancp/9281281openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/15330338221075172openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s12885-023-10890-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13058-024-01821-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13244-024-01869-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13244-025-01983-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13244-026-02411-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s41747-023-00384-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s43055-022-00868-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s43055-023-01129-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s43055-024-01363-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1259/bjr.20221031openalex-snapshot
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inferred← citeshttps://doi.org/10.1259/bjr.20230210openalex-snapshot
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inferred← citeshttps://doi.org/10.12968/hmed.2024.0786openalex-snapshot
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inferred← citeshttps://doi.org/10.15537/smj.2023.44.2.20220611openalex-snapshot
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inferred← citeshttps://doi.org/10.18621/eurj.1600293openalex-snapshot
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inferred← citeshttps://doi.org/10.20944/preprints202401.0335.v1openalex-snapshot
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inferred← citeshttps://doi.org/10.21203/rs.3.rs-2489648/v1openalex-snapshot
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inferred← citeshttps://doi.org/10.21215/kjfp.2023.13.4.196openalex-snapshot
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inferred← citeshttps://doi.org/10.2174/0113892010343901250204054241openalex-snapshot
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inferred← citeshttps://doi.org/10.2174/1573405619666221128102209openalex-snapshot
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inferred← citeshttps://doi.org/10.23736/s2723-9284.23.00246-9openalex-snapshot
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inferred← citeshttps://doi.org/10.23887/gm.v3i1.55575openalex-snapshot
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inferred← citeshttps://doi.org/10.32345/usmyj.3(157).2025.72-81openalex-snapshot
Revolutionizing Cancer Care: The Role of Artificial Intelligence in Diagnosis, Prognosis, and Personalized Medicine
inferred← citeshttps://doi.org/10.32604/csse.2023.028808openalex-snapshot
Micro Calcification Detection in Mammogram Images Using Contiguous Convolutional Neural Network Algorithm
inferred← citeshttps://doi.org/10.32604/iasc.2023.035483openalex-snapshot
Cancer Regions in Mammogram Images Using ANFIS Classifier Based Probability Histogram Segmentation Algorithm
inferred← citeshttps://doi.org/10.33192/smj.v78i3.277476openalex-snapshot
Diagnostic Performance of AI-CAD Digital Mammography for Breast Cancer: Experience from Siriraj Breast Imaging Center
inferred← citeshttps://doi.org/10.33371/ijoc.v17i4.1100openalex-snapshot
Impact of Artificial Intelligence on Mammography Interpretation by Breast Radiologists, Non-Breast Radiologists, and Senior Residents
inferred← citeshttps://doi.org/10.3348/jksr.2020.0205openalex-snapshot
Applications of Artificial Intelligence in Mammography from a Development and Validation Perspective
inferred← citeshttps://doi.org/10.3386/w31422openalex-snapshot
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
inferred← citeshttps://doi.org/10.3389/fmolb.2021.651588openalex-snapshot
Nanogenomics and Artificial Intelligence: A Dynamic Duo for the Fight Against Breast Cancer
inferred← citeshttps://doi.org/10.3389/fneur.2025.1678073openalex-snapshot
Evaluation of two AI techniques for the detection of new T2/FLAIR lesions in the follow-up of multiple sclerosis patients
inferred← citeshttps://doi.org/10.3389/fonc.2025.1695749openalex-snapshot
Enhancing cancer risk awareness and screening management through artificial intelligence: a narrative review
inferred← citeshttps://doi.org/10.3389/fsens.2024.1399441openalex-snapshot
Advances in nanocomposites-based electrochemical biosensors for the early diagnosis of breast cancer
inferred← citeshttps://doi.org/10.3389/fvets.2025.1641685openalex-snapshot
Integrating artificial intelligence into veterinary education: student perspectives
inferred← citeshttps://doi.org/10.3390/app10228298openalex-snapshot
Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
inferred← citeshttps://doi.org/10.3390/app13148330openalex-snapshot
Unsupervised Feature Extraction for Various Computer-Aided Diagnosis Using Multiple Convolutional Autoencoders and 2.5-Dimensional Local Image Analysis
inferred← citeshttps://doi.org/10.3390/app132112087openalex-snapshot
Application of Artificial Intelligence in the Mammographic Detection of Breast Cancer in Saudi Arabian Women
inferred← citeshttps://doi.org/10.3390/cancers17233878openalex-snapshot
Performance of an Artificial Intelligence Support System on Screening Mammography Cases Proceeding to Stereotactic Biopsy
inferred← citeshttps://doi.org/10.3390/diagnostics11050902openalex-snapshot
Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study
inferred← citeshttps://doi.org/10.3390/diagnostics12102505openalex-snapshot
Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method
inferred← citeshttps://doi.org/10.3390/diagnostics13010117openalex-snapshot
Comparison of Diagnostic Performance in Mammography Assessment: Radiologist with Reference to Clinical Information Versus Standalone Artificial Intelligence Detection
inferred← citeshttps://doi.org/10.3390/diagnostics14111131openalex-snapshot
Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms
inferred← citeshttps://doi.org/10.3390/jcm14217886openalex-snapshot
Early Results of Using AI in Mammography Screening for Breast Cancer
inferred← citeshttps://doi.org/10.3390/jimaging10090211openalex-snapshot
AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer
inferred← citeshttps://doi.org/10.3390/life13020440openalex-snapshot
Monitoring Methodology for an AI Tool for Breast Cancer Screening Deployed in Clinical Centers
inferred← citeshttps://doi.org/10.3390/tomography12040045openalex-snapshot
Clinical Performance Tradeoffs of ChatGPT-5.2 Thinking (OpenAI) Compared with Radiologist Interpretation in Biopsy-Referred Mammography: Cancer Detection, False Positives, and Laterality
inferred← citeshttps://doi.org/10.36227/techrxiv.24601923openalex-snapshot
Diagnostic Test Accuracy of AI-Assisted Mammography for Breast Imaging: A Narrative Review
inferred← citeshttps://doi.org/10.36347/sajp.2024.v13i02.003openalex-snapshot
Exploring the Impact of Artificial Intelligence on Patient Care: A Comprehensive Review of Healthcare Advancements
inferred← citeshttps://doi.org/10.3804/jjabcs.30.121openalex-snapshot
Exploring the current status of the development and practical application of AI-CAD in the field of breast cancer screening
inferred← citeshttps://doi.org/10.3906/elk-2104-40openalex-snapshot
Evolution of histopathological breast cancer images classification using stochastic dilated residual ghost model
inferred← citeshttps://doi.org/10.3917/res.232.0065openalex-snapshot
Artificial intelligence innovations in radiology put to the test by health system regulations
inferred← citeshttps://doi.org/10.4018/979-8-3693-6552-6.ch010openalex-snapshot
Leveraging Networked Artificial Intelligence for Healthcare Transformation
inferred← citeshttps://doi.org/10.4018/979-8-3693-8990-4.ch006openalex-snapshot
Medical Imaging and Artificial Intelligence
inferred← citeshttps://doi.org/10.4018/ijirr.289655openalex-snapshot
Breast Cancer Histopathological Image Classification Using Stochastic Dilated Residual Ghost Model
inferred← citeshttps://doi.org/10.56050/01205498.1642openalex-snapshot
La inteligencia artificial en oncología: contexto actual y una visión hacia la próxima década
inferred← citeshttps://doi.org/10.6084/m9.figshare.26590494openalex-snapshot
Additional file 1 of Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
inferred← citeshttps://doi.org/10.6084/m9.figshare.26636916openalex-snapshot
Additional file 1 of Deep learning performance for detection and classification of microcalcifications on mammography
inferred← citeshttps://doi.org/10.61622/rbgo/2024rbgo71openalex-snapshot
Artificial intelligence in mammography: a systematic review of the external validation
inferred← citeshttps://doi.org/10.61634/2782-3024-2023-12-26-35openalex-snapshot
Artificial intelligence in radial diagnostics of breast cancer
inferred← citeshttps://doi.org/10.7717/peerj-cs.2476openalex-snapshot
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
inferred← citeshttps://doi.org/10.7759/cureus.70008openalex-snapshot
Trends and Public Perception of Artificial Intelligence in Medical Imaging: A Social Media Analysis
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