Patricia Raciti
Johnson & Johnson (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Prostate Cancer Diagnosis and Treatment, Cervical Cancer and HPV Research, Bladder and Urothelial Cancer Treatments
Most-Cited Works
- → Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies(2020)174 cited
- → Independent real‐world application of a clinical‐grade automated prostate cancer detection system(2021)162 cited
- → An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy(2021)136 cited
- → Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection(2022)94 cited
- → Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial(2024)23 cited
- → Phenogenomic heterogeneity of post-transplant plasmablastic lymphomas(2020)23 cited
- Biologically distinct subsets of nevi.(2016)
- → Computational pathological identification of prostate cancer following neoadjuvant treatment.(2020)7 cited
- → Myelodysplastic Syndrome and Sweet’s Syndrome Are Associated with a Mutation in Isocitrate Dehydrogenase 1(2018)5 cited
- → Abstract PD11-02: Subtyping invasive carcinomas and high-risk lesions for machine learning based breast pathology(2022)1 cited