From tissue signal to treatment decision: where do AI tools break down?
A pathology-focused reading of the gap between AI and spatial biology signals and usable clinical decisions.
Tissue detection algorithms in scanners: where do labs lose time and storage?
A practical reading of a new study on how tissue detection algorithms in whole-slide scanners affect scan area, turnaround time, and file size.
Multicenter evidence: digital pathology matches light microscopy in histopathology reporting
A Histopathology study of 2,024 cases compares digital pathology with light microscopy in routine reporting and cancer screening samples, with…
Aira Matrix algorithms inside Fusion AP: a small announcement with a large workflow question
A practical reading of Techcyte’s announcement that AIRAProstate and AIRAQc are being integrated into Fusion AP, with attention to workflow,…
AstraZeneca and Roche in Asia: why this matters to pathologists before it matters to digital pathology platforms
The AstraZeneca-Roche agreement in Asia focuses on digital pathology and AI for HER2 and TROP2, with practical implications for pathologists.
ClinSegAI: correcting segmentation before turning cells into numbers
ClinSegAI reminds pathologists that segmentation quality determines the value of digital measurements, especially when H&E is linked to…
MetAssist 2.0: generalizable AI for screening lymph node metastases
MetAssist 2.0 tests lymph node metastasis detection across 8,144 slides and 7 cancer types, with high sensitivity and triage that could reduce…
Implementing digital pathology in India: a practical lesson for resource-limited laboratories
A practical reading of a recent Journal of Pathology Informatics review on implementing digital pathology in India, from technical…
Testing AI for prostate cancer in daily pathology practice
A professional reading of a Journal of Pathology Informatics study on bringing an AI model for prostate cancer diagnosis into routine workflow…
AI in prostate biopsies: what changed in the diagnostic room?
A study of an AI tool in prostate biopsies found a 30% reduction in report turnaround time and a 38% reduction in IHC use.