Publications by authors named "H MILCH"

Article Synopsis
  • The study evaluates how effectively artificial intelligence (AI) can identify cancers that were missed by radiologists in routine screening mammograms.
  • Utilizing a collection of data from 2010 to 2019, the research found that AI detected a significant portion of false negative cancers, identifying 54% in full-field digital mammography (FFDM) and 40% in digital breast tomosynthesis (DBT).
  • The findings suggest AI identified these missed cancers much earlier than radiologists, indicating a need for further research on combining AI with radiologist expertise in real-world breast cancer screening.
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Imaging-based screening is an important public health focus and a fundamental part of Diagnostic Radiology. Hence, radiologists should be familiar with the concepts that drive imaging-based screening practice including goals, risks, biases and clinical trials. This review article discusses an array of imaging-based screening exams including the key epidemiology and evidence that drive screening guidelines for abdominal aortic aneurysm, breast cancer, carotid artery disease, colorectal cancer, coronary artery disease, lung cancer, osteoporosis, and thyroid cancer.

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Objective: Assess the ongoing impact of COVID-19 on mental well-being of breast radiologists nationwide two years after the start of the pandemic and compared to early in the pandemic.

Methods: A 27-question survey was distributed from December 2021 to January 2022 to physician members of the Society of Breast Imaging. Psychological distress and anxiety scores were calculated, and factors associated with them were identified with a multivariate logistic model.

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Physician burnout continues to increase in prevalence and disproportionately affects women physicians. Breast imaging is a woman-dominated subspeciality, and therefore, worsening burnout among women physicians may have significant repercussions on the future of the breast imaging profession. Systemic and organizational factors have been shown to be the greatest contributors to burnout beyond individual factors.

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