A5079652585- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Renal cell carcinoma treatment
- Sarcoma Diagnosis and Treatment
- Renal and related cancers
- Bladder and Urothelial Cancer Treatments
- Ovarian cancer diagnosis and treatment
- Cervical Cancer and HPV Research
- Prostate Cancer Treatment and Research
- Urologic and reproductive health conditions
- Cancer Genomics and Diagnostics
- Urinary and Genital Oncology Studies
- Prostate Cancer Diagnosis and Treatment
- Viral gastroenteritis research and epidemiology
- Cell Image Analysis Techniques
- Biomedical Text Mining and Ontologies
- Testicular diseases and treatments
- Neuroendocrine Tumor Research Advances
- Vascular Tumors and Angiosarcomas
- Pancreatic and Hepatic Oncology Research
- Clinical Laboratory Practices and Quality Control
- Artificial Intelligence in Healthcare and Education
- Breast Cancer Treatment Studies
- Endometrial and Cervical Cancer Treatments
- Animal Virus Infections Studies
The Ohio State University Wexner Medical Center
2016-2025
The Ohio State University
2016-2025
Boston Medical Center
2024
State Library of Ohio
2022
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
2021-2022
The University of Texas MD Anderson Cancer Center
2009-2022
The University of Texas Health Science Center at Houston
2022
Midwestern University
2022
Seoul National University
2022
Alberta Health Services
2022
There is increasing interest in using whole slide imaging (WSI) for diagnostic purposes (primary and/or consultation). An important consideration whether WSI can safely replace conventional light microscopy as the method by which pathologists review histologic sections, cytology slides, hematology slides to render diagnoses. Validation of crucial ensure that performance based on digitized at least equivalent glass and microscopy. Currently, there are no standard guidelines regarding validation use.
Abstract: Significant technologic gains have led to the adoption of innovative digital imaging solutions in pathology. Whole slide (WSI), which refers scanning conventional glass slides order produce slides, is most recent modality being employed by pathology departments worldwide. WSI continues gain traction among pathologists for diagnostic, educational, and research purposes. This article provides a review platforms covers clinical nonclinical applications these systems. Barriers include...
Context.— The original guideline, “Validating Whole Slide Imaging for Diagnostic Purposes in Pathology,” was published 2013 and included 12 guideline statements. College of American Pathologists convened an expert panel to update the following standards established by National Academies Medicine developing trustworthy clinical practice guidelines. Objective.— To assess evidence since release provide updated recommendations validating whole slide imaging (WSI) systems used diagnostic...
Abstract Background The integration of large language models (LLMs) like ChatGPT in diagnostic medicine, with a focus on digital pathology, has garnered significant attention. However, understanding the challenges and barriers associated use LLMs this context is crucial for their successful implementation. Methods A scoping review was conducted to explore using LLMs, medicine pathology. comprehensive search electronic databases, including PubMed Google Scholar, relevant articles published...
Computational pathology
Advances in computational algorithms and tools have made the prediction of cancer patient outcomes using pathology feasible. However, predicting clinical from pre-treatment histopathologic images remains a challenging task, limited by poor understanding tumor immune micro-environments. In this study, an automatic, accurate, comprehensive, interpretable, reproducible whole slide image (WSI) feature extraction pipeline known as, IMage-based Pathological REgistration Segmentation Statistics...
Human tissue, which is inherently three-dimensional (3D), traditionally examined through standard-of-care histopathology as limited two-dimensional (2D) cross-sections that can insufficiently represent the tissue due to sampling bias. To holistically characterize histomorphology, 3D imaging modalities have been developed, but clinical translation hampered by complex manual evaluation and lack of computational platforms distill insights from large, high-resolution datasets. We present...
Only prototypes 5 years ago, high-speed, automated whole slide imaging (WSI) systems (also called digital systems, virtual microscopes or wide field imagers) are becoming increasingly capable and robust. Modern devices can capture a in minutes at spatial sampling periods of less than 0.5 micron/pixel. The capacity to rapidly digitize large numbers slides should eventually have profound, positive impact on pathology. It is important, however, that pathologists validate these during...
April 12, 2017 marked a significant day in the evolution of digital pathology United States, when US Food and Drug Administration announced its approval Philips IntelliSite Pathology Solution for primary diagnosis surgical pathology. Although this event is expected to facilitate more widespread adoption whole slide imaging clinical applications it also raises number questions as means by which pathologists might choose incorporate technology into their practice. This article from College...
Digital pathology offers potential improvements in workflow and interpretive accuracy. Although currently digital is commonly used for research education, its clinical use has been limited to niche applications such as frozen sections remote second opinion consultations. This mainly due regulatory hurdles, but also a dearth of data supporting positive economic cost-benefit. Large scale adoption the integration slides into routine anatomic/surgical "slide less" will occur only if offer...
Abstract In cancer, both histopathologic images and genomic signatures are used for diagnosis, prognosis, subtyping. However, combining with data predicting as well the relationships between them, has rarely been explored. this study, we present an integrative genomics framework constructing a prognostic model clear cell renal carcinoma. We patient from The Cancer Genome Atlas (n = 410), extracting hundreds of cellular morphologic features digitized whole-slide eigengenes functional to...