Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …

As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC).
However, manual evaluation of the diseased tissues under the microscope cannot reliably …

Background Timely and accurate intraoperative cryosection evaluations remain the gold
standard for guiding surgical treatments for gliomas. However, the tissue-freezing process …

This study evaluates the quality of published research using artificial intelligence (AI) for
ovarian cancer diagnosis or prognosis using histopathology data. A systematic search of …

Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

Purpose: Histopathology evaluation is the gold standard for diagnosing clear cell (ccRCC),
papillary, and chromophobe renal cell carcinoma (RCC). However, interrater variability has …

In common medical procedures, the time-consuming and expensive nature of obtaining test
results plagues doctors and patients. Digital pathology research allows using computational …

Histopathologic evaluation of biopsy slides is a critical step in diagnosing and subtyping
breast cancers. However, the connections between histology and multi-omics status have …

High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of
recurrence, frequent chemotherapy resistance, and overall 5-year survival of less than 50 …