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In this episode of DigiPath Digest, broadcasting from Poland, we delve into advances in digital pathology, including AI applications in bone marrow evaluation, classification of hematology cells, and the use of synthetic images for data augmentation. Additionally, we review a survey on pathologists' perceptions of ChatGPT and consider the feasibility of GANs for enhancing medical image analysis.00:00 Welcome and Troubleshooting from Poland00:21 Live Stream Challenges and Conference Details02:21 Digital Pathology Podcast Introduction02:51 Technical Difficulties and Audience Interaction06:18 Exploring Digital Pathology Papers06:43 Advances in Bone Marrow Evaluation09:03 AI in Hematology and Pathology12:28 Colorectal Cancer Prognostication19:34 Pan-Cancer Xenograft Repository25:16 ChatGPT and Pathology Survey30:55 Synthetic Image Generation in Pathology36:35 Upcoming Conferences and Courses42:27 Closing Remarks and Future PlansTHE ABSTRACTS WE COVERED TODAY 📄 Advances in Bone Marrow Evaluationhttps://pubmed.ncbi.nlm.nih.gov/39089749/) 📄 Digital Imaging and AI Pre-classification in Hematologyhttps://pubmed.ncbi.nlm.nih.gov/39089746/) 📄 Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trialhttps://pubmed.ncbi.nlm.nih.gov/39083705/) 📄 A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning AnalysisA survey analysis of the adoption of large language models among pathologistshttps://pubmed.ncbi.nlm.nih.gov/39082680/) 📄 Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer)
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