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Anil Parwani on Muck Rack

Anil Parwani

Columbus
As seen in: Diagnostic Pathology, Wiley Online Library, MDPI, The Lancet, NewsBreak, MDedge Dermatology, MDEdge, OncLive, European Urology, Archives of Pathology, Targeted Oncology and
Professor of Pathology and Biomedical Informatics at The Ohio State University, Vice Chair of Anatomical Path and Director of Division of Computational Path
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Articles

Artificial Intelligence in Genitourinary Pathology: A Translational Readiness Map

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By Ankush Patel, Amanda Dy, Anil Parwani
| Xia & He Publishing Inc. Verified
Artificial intelligence (AI) has crossed the threshold from experimental technology to operational utility in pathology. Genitourinary (GU) pathology is an active frontier for clinical translation, driven by high disease burden, rich morphological complexity, and mature computational infrastructure capable of handling gigapixel whole slide images (WSIs) and multimodal inputs.
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Artificial intelligence in genitourinary pathology

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By Ankush Patel, Anil Parwani, Swati Satturwar
| Wiley Online Library Verified
AI artificial intelligence AUC area under the curve BCG bacillus Calmette–Guérin GCNIS germ cell neoplasia in situ GU genitourinary HIFs human-interpretable features ICC immunocytochemistry KPI key performance indicator LVI lymphovascular invasion OSU Ohio State University RCC renal cell carcinoma ROI region of interest TATs turnaround times TGCT testicular germ cell tumour TIL tumour-infiltrating lymphocyte WSI whole-slide images Introduction Artificial intelligence has crossed the threshold...
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Digital twin manifesto for the pathology laboratory - Diagnostic Pathology

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By Luca Reggiani, Dei Tos, Angelo Paolo, Reggio Emilia, Luca Reggiani Bonetti, Stefano Marletta, Enrico Munari, Giorgio Cazzaniga, Anil Parwani, Vincenzo L’Imperio
| Diagnostic Pathology Verified
References Armeni P, Polat I, De Rossi LM, Diaferia L, Meregalli S, Gatti A. Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review. J Pers Med [Internet]. 2022;12. Available from: https://doi.org/10.3390/jpm12081255 Elkefi S, Asan O. Digital twins for managing health care systems: rapid literature review. J Med Internet Res. 2022;24:e37641. PubMed PubMed Central Google Scholar Peshkova M, Yumasheva V, Rudenko E, Kretova N, Timashev P, Demura T.
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