Publications by authors named "D Hendel"

People affected by breast cancer experience a multitude of toxicities and unmet needs across physical, cognitive, psychosocial, and economic domains that adversely impact their quality of life. High-quality and diverse supportive care is required to improve outcomes and rehabilitation for people affected by breast cancer. However, the availability and access to high-quality supportive care services is limited due to factors including cost and demand.

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Article Synopsis
  • The study examined how machine learning can predict the accuracy of diagnoses made by pathologists based on their viewing habits while analyzing digital breast biopsy images.
  • The research involved 140 pathologists who reviewed 14 digital images, with their viewing behaviors tracked to extract key features that informed machine learning algorithms used for predicting diagnostic accuracy.
  • The Random Forest algorithm was the most effective, achieving 81% accuracy, and highlighted the significance of attention-focused behaviors, suggesting that these insights could enhance training and clinical practices by providing automated feedback in diagnosis.
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Students learn more effectively through repeated retrieval of study materials relative to repeated exposure to the materials, a phenomenon known as the testing effect or retrieval practice. This pattern has been demonstrated repeatedly with verbal materials, and more recently with visuospatial materials. The extent to which retrieval practice produces spatial memories that successfully transfer to more diverse task demands remains unknown.

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Background: Conventionally, the extended lateral approach (ELA) served as the standard extensile approach for intraarticular calcaneal fracture fixation. However, this approach has a high rate of wound complications. The purpose of this study was to describe an alternative approach, the posteriorlateral approach (PLA) and compare it to the ELA regarding soft tissue complications and functional outcome.

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