Jeremy D Kunz
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Explore the profile of Jeremy D Kunz including associated specialties, affiliations and a list of published articles.
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5
Citations
122
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Recent Articles
1.
Pareja F, Dopeso H, Wang Y, Gazzo A, Brown D, Banerjee M, et al.
Cancer Res
. 2024 Aug;
84(20):3478-3489.
PMID: 39106449
Artificial intelligence (AI) systems can improve cancer diagnosis, yet their development often relies on subjective histologic features as ground truth for training. Herein, we developed an AI model applied to...
2.
Vorontsov E, Bozkurt A, Casson A, Shaikovski G, Zelechowski M, Severson K, et al.
Nat Med
. 2024 Jul;
30(10):2924-2935.
PMID: 39039250
The analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends on the ability to model the...
3.
Raciti P, Sue J, Retamero J, Ceballos R, Godrich R, Kunz J, et al.
Arch Pathol Lab Med
. 2022 Dec;
147(10):1178-1185.
PMID: 36538386
Context.—: Prostate cancer diagnosis rests on accurate assessment of tissue by a pathologist. The application of artificial intelligence (AI) to digitized whole slide images (WSIs) can aid pathologists in cancer...
4.
da Silva L, Pereira E, Salles P, Godrich R, Ceballos R, Kunz J, et al.
J Pathol
. 2021 Apr;
254(2):147-158.
PMID: 33904171
Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of pathologists....
5.
Raciti P, Sue J, Ceballos R, Godrich R, Kunz J, Kapur S, et al.
Mod Pathol
. 2020 May;
33(10):2058-2066.
PMID: 32393768
Prostate cancer (PrCa) is the second most common cancer among men in the United States. The gold standard for detecting PrCa is the examination of prostate needle core biopsies. Diagnosis...