Search Results - "Dembrower, Karin"

A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks—the Cohort of Screen-Aged Women (CSAW) by Dembrower, Karin, Lindholm, Peter, Strand, Fredrik

“…For AI researchers, access to a large and well-curated dataset is crucial. Working in the field of breast radiology, our aim was to develop a high-quality…”
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Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction by Dembrower, Karin, Liu, Yue, Azizpour, Hossein, Eklund, Martin, Smith, Kevin, Lindholm, Peter, Strand, Fredrik

“…Background Most risk prediction models for breast cancer are based on questionnaires and mammographic density assessments. By training a deep neural network,…”
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External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms by Salim, Mattie, Wåhlin, Erik, Dembrower, Karin, Azavedo, Edward, Foukakis, Theodoros, Liu, Yue, Smith, Kevin, Eklund, Martin, Strand, Fredrik

“…A computer algorithm that performs at or above the level of radiologists in mammography screening assessment could improve the effectiveness of breast cancer…”
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Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study by Dembrower, Karin, Wåhlin, Erik, Liu, Yue, Salim, Mattie, Smith, Kevin, Lindholm, Peter, Eklund, Martin, Strand, Fredrik

“…We examined the potential change in cancer detection when using an artificial intelligence (AI) cancer-detection software to triage certain screening…”
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Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study by Dembrower, Karin, Crippa, Alessio, Colón, Eugenia, Eklund, Martin, Strand, Fredrik

“…Artificial intelligence (AI) as an independent reader of screening mammograms has shown promise, but there are few prospective studies. Our aim was to conduct…”
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False-negative rate in the extended prospective TATTOO trial evaluating targeted axillary dissection by carbon tattooing in clinically node-positive breast cancer patients receiving neoadjuvant systemic therapy by de Boniface, Jana, Frisell, Jan, Kühn, Thorsten, Wiklander-Bråkenhielm, Ingrid, Dembrower, Karin, Nyman, Per, Zouzos, Athanasios, Gerber, Bernd, Reimer, Toralf, Hartmann, Steffi

“…Purpose In clinically node-positive breast cancer patients receiving neoadjuvant systemic therapy (NST), nodal metastases can be initially marked and then…”
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Women’s perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study by Viberg Johansson, Jennifer, Dembrower, Karin, Strand, Fredrik, Grauman, Åsa

“…BackgroundUnderstanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging…”
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Patients with aphasia and an infarct in Wernicke's area benefit from early intensive speech and language therapy by Höeg Dembrower, Karin E, von Heijne, Anders, Laska, Ann Charlotte, Laurencikas, Evaldas

“…Background: Considerable spontaneous recovery is observed in aphasia, but impaired communication ability remains a great problem. Almost half of the patients…”
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Clopidogrel Resistance after Minor Ischemic Stroke or Transient Ischemic Attack is Associated with Radiological Cerebral Small-Vessel Disease by Lundström, Annika, MD, Wallén, Håkan, MD, PhD, von Arbin, Magnus, MD, PhD, Jörneskog, Gun, MD, PhD, Gigante, Bruna, MD, PhD, Höeg Dembrower, Karin, MD, Laurencikas, Evaldas, MD, PhD, Laska, Ann Charlotte, MD, PhD

“…Background The objective of this study was to compare nonresponders (NR) and responders (R) to clopidogrel with respect to presence of microvascular and…”
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Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography Examinations by Salim, Mattie, Dembrower, Karin, Eklund, Martin, Lindholm, Peter, Strand, Fredrik

“…Background There is great interest in developing artificial intelligence (AI)-based computer-aided detection (CAD) systems for use in screening mammography…”
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Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening by Liu, Yue, Sorkhei, Moein, Dembrower, Karin, Azizpour, Hossein, Strand, Fredrik, Smith, Kevin

“…Background Mammographic density measurements are used to identify patients who should undergo supplemental imaging for breast cancer detection, but artificial…”
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Deep Learning in Breast Cancer Screening by Dembrower, Karin

“…Breast cancer is the most common cancer form among women worldwide and the incidenceis rising. When mammography was introduced in the 1980s, mortality rates…”
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Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography by Salim, Mattie, Dembrower, Karin, Eklund, Martin, Smith, Kevin, Strand, Fredrik

“…Objective: We aimed to evaluate the false interpretations between artificial intelligence (AI) and radiologists in screening mammography to get a better…”
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Effect of Benign Biopsy Findings on an Artificial Intelligence-Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study by Zouzos, Athanasios, Milovanovic, Aleksandra, Dembrower, Karin, Strand, Fredrik

“…Artificial intelligence (AI)-based cancer detectors (CAD) for mammography are starting to be used for breast cancer screening in radiology departments. It is…”
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Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matching by Dembrower, Karin, Salim, Mattie, Eklund, Martin, Lindholm, Peter, Strand, Fredrik

“…In double-reading of screening mammograms, artificial intelligence (AI) algorithms hold promise as a potential replacement for one of the two readers. The…”
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CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer by Sorkhei, Moein, Liu, Yue, Azizpour, Hossein, Azavedo, Edward, Dembrower, Karin, Ntoula, Dimitra, Zouzos, Athanasios, Strand, Fredrik, Smith, Kevin

“…Interval and large invasive breast cancers, which are associated with worse prognosis than other cancers, are usually detected at a late stage due to false…”
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Adding Seemingly Uninformative Labels Helps in Low Data Regimes by Matsoukas, Christos, Hernandez, Albert Bou I, Liu, Yue, Dembrower, Karin, Miranda, Gisele, Konuk, Emir, Haslum, Johan Fredin, Zouzos, Athanasios, Lindholm, Peter, Strand, Fredrik, Smith, Kevin

“…Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which…”
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