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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.133-140

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Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment

AMIA ... Annual Symposium proceedings, 2022, Vol.2022, p.385-394

2022

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Personalized Screening for Breast Cancer: Rationale, Present Practices, and Future Directions

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Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study

Development and efficacy of a computerized decision support system for osteoporosis management in the community

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4D MRI for the Localization of Parathyroid Adenoma: A Novel Method in Evolution

Impact of high‐quality ultrasound following community ultrasound on surgical planning and active surveillance in patients with thyroid cancer

Calcium score of the entire thoracic aorta is an independent predictor of all-cause mortality in patients referred to chest computed tomography

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Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization

The Pattern of Use of PET/CT Scans in the Clinical Management of Chronic Lymphocytic Leukemia

Abstract OT2-10-02: Mypebs: An international randomized study comparing personalized, risk-stratified to standard breast cancer screening in women aged 40-70

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment

Whose fault is it? Attribution of causes of patient violence among exposed and unexposed community‐based family physicians

SUN-397 The Osteosee System Measurements, Based on Parametric Electrical Impedance Tomography, Correlate with Dual X-Ray Absorptiometry Results for the Diagnosis of Osteoporosis

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment

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