Independent real‐world application of a clinical‐grade automated prostate cancer detection system

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

(2020) Peter Ström et al.   LANCET ONCOLOGY

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

(2020) Wouter Bulten et al.   LANCET ONCOLOGY

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

(2020) Patricia Raciti et al.   MODERN PATHOLOGY

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

(2020) Wouter Bulten et al.   MODERN PATHOLOGY

Regulating Artificial Intelligence for a Successful Pathology Future

(2019) Timothy Craig Allen   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

False-Negative Histopathologic Diagnosis of Prostatic Adenocarcinoma

(2019) Chen Yang et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Guidance for laboratories performing molecular pathology for cancer patients

(2014) Ian A Cree et al.   JOURNAL OF CLINICAL PATHOLOGY

Canadian Licensure for the Use of Digital Pathology for Routine Diagnoses: One More Step Toward a New Era of Pathology Practice Without Borders

(2013) Bernard Têtu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

False-negative Prostate Needle Biopsies: Frequency, Histopathologic Features, and Follow-up

(2009) Tineke Wolters et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY