Latest AI and machine learning research in pathology for healthcare professionals.
Consistency between paraffin blocks and corresponding histological slides is a key component of path...
Ulcerative colitis (UC) poses substantial therapeutic challenges with limited treatment options. Alt...
Distinguishing histological subtypes of early pregnancy loss is crucial for clinical practice. Curre...
Gastric cancer constitutes a significant global health burden, and its clinical management is underg...
With the continuous update and iteration of minimally invasive techniques, artificial intelligence a...
Pancreatic adenosquamous carcinoma (PASC) is a rare exocrine malignancy of the pancreas with an incr...
BACKGROUND AND OBJECTIVE: Accurate classification of Renal Cell Carcinoma (RCC) subtypes is essentia...
OBJECTIVE: Perfusion imaging is used to estimate critically hypoperfused tissue in acute ischemic st...
BACKGROUND: Artificial intelligence (AI) is a transformative diagnostic tool in dermatology. As the ...
Plasma small extracellular vesicles (sEVs) are a promising liquid biopsy tool. This study aims to de...
The quality of Whole Slide Images (WSI) is a determining factor for proper diagnosis and prognosis, ...
BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sper...
Hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) improves lesion loc...
Acute pancreatitis (AP) is a severe inflammatory disorder in which pyroptosis-a pro-inflammatory for...
OBJECTIVE: Large language models (LLMs) that can process both images and text are increasingly being...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, largely due to the...
BACKGROUND: Prolonged muscle loss and persistent pulmonary radiological manifestations have been obs...
BACKGROUND: Multiparametric MRI (mpMRI) and ^68Â Ga-PSMA PET/CT are widely used for prostate cancer (...
BACKGROUND: Comprehensive identification and prioritization of developed artificial intelligence met...
Advances in cryogenic electron microscopy (cryo-EM) data modeling and deep learning are reshaping ou...
RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) r...