Journal of Pathology Informatics
Papers
497
Papers 548
1 page of 55 pages (548 results)
Newest
#1Ilaria GirolamiH-Index: 8
#2Stefano MarlettaH-Index: 4
Last. Albino EccherH-Index: 17
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#1Rachel D Starks (UIHC: University of Iowa Hospitals and Clinics)H-Index: 1
Last. Jeff KulhavyH-Index: 4
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Background: Hematology analysis comprises some of the highest volume tests run in clinical laboratories. Autoverification of hematology results using computer-based rules reduces turnaround time for many specimens, while strategically targeting specimen review by technologist or pathologist. Methods: Autoverification rules had been developed over a decade at an 800-bed tertiary/quarternary care academic medical central laboratory serving both adult and pediatric populations. In the process of mi...
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#1Liron Pantanowitz (UM: University of Michigan)H-Index: 57
#1Liron Pantanowitz (UM: University of Michigan)H-Index: 7
Last. Sarah Harrington (Hologic)
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Introduction: Hologic is developing a digital cytology platform. An educational website was launched for users to review these digitized Pap test cases. The aim of this study was to analyze data captured from this website. Materials and Methods: ThinPrep® Pap test slides were scanned at ×40 using a volumetric (14 focal plane) technique. Website cases consisted of an image gallery and whole slide image (WSI). Over a 13 month period data were recorded including diagnoses, time participants spent o...
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Background: Cervical intraepithelial neoplasia (CIN) is regarded as a potential precancerous state of the uterine cervix. Timely and appropriate early treatment of CIN can help reduce cervical cancer mortality. Accurate estimation of CIN grade correlated with human papillomavirus type, which is the primary cause of the disease, helps determine the patient's risk for developing the disease. Colposcopy is used to select women for biopsy. Expert pathologists examine the biopsied cervical epithelial...
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Background: Morphologic rare cell detection is a laborious, operator-dependent process which has the potential to be improved by the use of image analysis using artificial intelligence. Detection of rare hemoglobin H (HbH) inclusions in red cells in the peripheral blood is a common screening method for alpha-thalassemia. This study aims to develop a convolutional neural network-based algorithm for the detection of HbH inclusions. Methods: Digital images of HbH-positive and HbH-negative blood sme...
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#1Rajesh C. Dash (Duke University)H-Index: 15
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Integrating the health-care enterprise (IHE) is an international initiative to promote the use of standards to achieve interoperability among health information technology systems. The Pathology and Laboratory Medicine domain within IHE has brought together subject matter experts, electronic health record vendors, and digital imaging vendors, to initiate development of a series of digital pathology interoperability guidelines, called “integration profiles” within IHE. This effort begins with doc...
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#1Albino EccherH-Index: 17
#2Gabriella Fontanini (UniPi: University of Pisa)H-Index: 69
Last. Elena Vigliar (University of Naples Federico II)H-Index: 21
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#1Roger S. Riley (VCU: Virginia Commonwealth University)H-Index: 3
Last. Alden ChesneyH-Index: 1
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#1Veena Ramaswamy (Strand Life Sciences)H-Index: 1
#2BN Tejaswini (Strand Life Sciences)
Last. Sowmya B Uthaiah (Strand Life Sciences)
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Background: Remote reporting in anatomic pathology is an important advantage of digital pathology that has not been much explored. The COVID-19 pandemic has provided an opportunity to explore this important application of digital pathology system in a tertiary care cancer center to ensure patient care and staff safety. Regulatory guidelines have been described for remote reporting following the pandemic. Herein, we describe our experience of validation of digital pathology workflow for remote re...
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#1M Babawale (Betsi Cadwaladr University Health Board)
#2A Gunavardhan (Betsi Cadwaladr University Health Board)
Last. Muhammad Aslam (Betsi Cadwaladr University Health Board)H-Index: 2
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Aims: The study is aimed to verify Aperio AT2 scanner for reporting on the digital pathology platform (DP) and to validate the cohort of pathologists in the interpretation of DP for routine diagnostic histopathological services in Wales, United Kingdom. Materials, Methods and Results: This was a large multicenter study involving seven hospitals across Wales and unique with 22 (largest number) pathologists participating. 7491 slides from 3001 cases were scanned on Leica Aperio AT2 scanner and rep...
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