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Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She review...
Send us Fan Mail Where is AI in pathology actually becoming useful right now? In this episode of DigiPath Digest , I review 4 new PubMed pap...
Send us Fan Mail Paper Discussed in this Episode: Spatial omics and AI for clinically actionable cancer biomarkers. Reitsam NG. PLoS Med 202...
Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in clinical oncology: Multimodal integration and translational dev...
Send us Fan Mail Paper Discussed in this Episode: Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hemat...
Send us Fan Mail I did something I've never done before for this episode — I went live from the middle of a national park. This is Digi...
Send us Fan Mail Paper Discussed in this Episode: How artificial intelligence applied to digital pathology could guide treatment personaliza...
Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in oral oncology: Current advances and future potential in diagnos...
Send us Fan Mail Paper Discussed in this Episode: Can large language models like ChatGPT and Gemini interpret cervical cytology accurately?...
Send us Fan Mail Paper Discussed in this Episode: How to bring generative AI to oncology practice. D. Truhn & J. N. Kather. ESMO Real World...
Send us Fan Mail You don't need a fancy scanner, a huge budget, or a computational background to get started in digital pathology. That...
Send us Fan Mail How close is pathology AI to making decisions that matter in real workflows, real trials, and real patient care? In this ep...
Send us Fan Mail Paper Discussed in this Episode: Ki-67 Proliferation Index in Pulmonary Neuroendocrine Neoplasms: Interobserver Agreement A...
Send us Fan Mail Paper Discussed in this Episode: Modern Pathology-Driven Strategies in Neoadjuvant Immunotherapy for Head and Neck Squamous...
Send us Fan Mail Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clini...
Send us Fan Mail Paper Discussed in this Episode: Quantitative regression of qFibrosis with resmetirom: Exploratory histologic endpoints fro...
Send us Fan Mail Paper Discussed in this Episode: Molecular Pathology, Artificial Intelligence, and New Technologies in Hematologic Diagnost...
Send us Fan Mail Paper Discussed in this Episode: Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical...
Send us Fan Mail Why do digital pathology projects get harder once the real workflow starts? In this USCAP 2026 conversation, I talk with Ro...
Send us Fan Mail Why does digital pathology adoption move faster in some places than others? In this USCAP 2026 conversation, I sat down wit...
Send us Fan Mail What makes digital pathology feel so hard to enter, even for smart people already working around it? In this special USCAP...
Send us Fan Mail Paper Discussed in this Episode: Artificial Intelligence and Its Applications in Oral and Maxillofacial Pathology. Veremis...
Send us Fan Mail Paper Discussed in this Episode: The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type...
Send us Fan Mail Paper Discussed in this Episode: A comprehensive European Colorectal Cancer Cohort dataset. Holub P, Törnwall O, Garcia Alv...
Send us Fan Mail What happens when AI looks strong in a paper, but the workflow still isn’t ready? In DigiPath Digest #40 , I reviewed five...
Send us Fan Mail Paper Discussed in this Episode: Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intellig...
Send us Fan Mail Paper Discussed in this Episode: Clarifying validation terminologies in healthcare. Amanda Dy, Sandra M. Buetow, Andrew J....
Send us Fan Mail Paper Discussed in this Episode: Deep learning-based histopathological classification and subclassification of benign and m...
Send us Fan Mail Paper Discussed in this Episode: A confidence-based, artificial intelligence pathology model for diagnosis of intrahepatic...
Send us Fan Mail Paper Discussed in this Episode: Reporting checklist for foundation and large language models in medical research (REFINE):...
Send us Fan Mail Artificial Intelligence in Healthcare: From Diagnosis to Rehabilitation. Witek K, Nowocien M, Gerlach J, et al. Cureus 2026...
Send us Fan Mail Paper Discussed in this AI Journal Club: "Transforming Gastric Biopsy Diagnostics: Integrating Omics Technologies and Artif...
Send us Fan Mail Paper Discussed in this AI Journal Club: From Image-Guided Surgery to Computer-Assisted Real-Time Diagnosis with Hyperspect...
Send us Fan Mail If AI can detect patterns we cannot see, how do we know when its answers are clinically trustworthy? In this episode of Dig...
Send us Fan Mail Paper Discussed in this AI Journal Club: Benchmarking large language model-based agent systems for clinical decision tasks....
Send us Fan Mail Paper Discussed in this AI Journal Club: Masry ME, Gnyawali S, Jacobson M, Xue Y, Sen C, Wachs J, Gordillo G. AutoMated Bur...
Send us Fan Mail Paper Discussed in this AI Journal Club: Wienholt, P., Caselitz, S., Siepmann, R. et al. Hallucination filtering in radiolo...
Send us Fan Mail Paper Discussed in this AI Journal Club: Region-Based Segmentation of Lymph Node Metastases in Whole-Slide Images of Colore...
Send us Fan Mail Clinical Artificial Intelligence in 2026. Accuracy, Education, and Guardrails Artificial intelligence is evolving fast in m...
Send us Fan Mail What if one of the biggest sources of diagnostic variability in prostate cancer isn’t the pathologist—but the stain we’ve t...
Send us Fan Mail Sometimes a paper comes out that’s so practical and relevant to what we do in digital pathology that I know we have to talk...
Send us Fan Mail Is AI in pathology actually improving diagnosis — or just adding complexity? In DigiPath Digest #37, we reviewed four recen...
Send us Fan Mail Source Material: This AI journal Club episode is based on the original article, "The patient matters: a roundtable discussi...
Send us Fan Mail Paper Discussed in this AI Journal Club: Multimodal learning for scalable representation of high-dimensional medical data ....
Send us Fan Mail Paper Discussed in this AI Journal Club: Artificial Intelligence-Based Digital Image Analysis for Assessing Ki67, P53, and...
Send us Fan Mail What actually needs to be in place before digital pathology can replace the microscope? In this episode of DigiPath Digest...
Send us Fan Mail This AI Journal Club Episode is based on the following paper: Szylberg Ł, Durślewicz J, Chmura Ł, Rezner W, Bartczak A, Mar...
Send us Fan Mail This session is a practical walkthrough of where digital pathology and AI truly stand in early 2026—based on five recent Pu...
Send us Fan Mail What happens when artificial intelligence moves beyond images and begins interpreting clinical notes, kidney biopsies, mult...
Send us Fan Mail What really changed in digital pathology this year—and what still needs work? As we close out 2025 and step into 2026, I wa...
Send us Fan Mail What if the biggest breakthrough in pathology AI isn’t a new algorithm—but finally sharing the data we already have? In thi...