Klimstra, David S.

Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

Raciti, P., Sue, J., Retamero, J. A., Ceballos, R., Godrich, R., Kunz, J. D., Casson, A., Thiagarajan, D., Ebrahimzadeh, Z., Viret, J., et al. (2023) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 119

Development of genome-derived tumor type prediction to inform clinical cancer care

Penson, A., Camacho, N., Zheng, Y., Varghese, A. M., Al-Ahmadie, H., Razavi, P., Chandarlapaty, S., Vallejo, C. E., Vakiani, E., Gilewski, T., et al. (2020) · JAMA Oncology

Cancer Genomics and DiagnosticsCancer Diagnosis and Treatment

Cited by 115

Unusual DNA mismatch repair-deficient tumors in Lynch syndrome: a report of new cases and review of the literature

Karamurzin, Y., Zeng, Z., Stadler, Z. K., Zhang, L., Ouansafi, I., Al-Ahmadie, H. A., Sempoux, C., Saltz, L. B., Soslow, R. A., O'Reilly, E. M., et al. (2012) · Human Pathology

Genetic factors in colorectal cancerBRCA gene mutations in cancer

Cited by 112

Defining surgical indications for type I gastric carcinoid tumor

Gladdy, R. A., Strong, V. E., Coit, D., Allen, P. J., Gerdes, H., Shia, J., Klimstra, D. S., Brennan, M. F., & Tang, L. H. (2009) · Annals of Surgical Oncology

Neuroendocrine Tumor Research AdvancesGastric Cancer Management and Outcomes

Cited by 112

Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology–molecular associations: clinical and biological implications

Shia, J., Schultz, N., Kuk, D., Vakiani, E., Middha, S., Segal, N. H., Hechtman, J. F., Berger, M. F., Stadler, Z. K., Weiser, M. R., et al. (2017) · Modern Pathology

Genetic factors in colorectal cancerCancer Genomics and Diagnostics

Cited by 105

Recurrence and Survival After Resection of Small Intraductal Papillary Mucinous Neoplasm-associated Carcinomas (≤20-mm Invasive Component): A Multi-institutional Analysis

Winter, J. M., Jiang, W., Basturk, O., Mino-Kenudson, M., Fong, Z. V., Tan, W. P., Lavu, H., Vollmer, C. M., Furth, E. E., Haviland, D., et al. (2016) · Annals of Surgery

Pancreatic and Hepatic Oncology ResearchNeuroendocrine Tumor Research Advances

Cited by 73

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Shaikovski, G., Casson, A., Severson, K., Zimmermann, E., Wang, Y. K., Kunz, J. D., Retamero, J. A., Oakley, G., Klimstra, D., Kanan, C., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 22