Latest AI and machine learning research in pathology for healthcare professionals.
Granulomatous rosacea (GR) and lupus miliaris disseminatus faciei (LMDF) exhibit overlapping clinica...
INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and no...
We have developed a method for generating human telencephalic organoids from stem cell-derived isola...
Soil-transmitted helminths primarily comprise Ascaris lumbricoides, Trichuris trichiura, and hookwor...
BACKGROUND: Indeterminate pulmonary nodules (IPNs) are commonly biopsied to ascertain a diagnosis of...
Microscopic images of aggressive and non-aggressive cases of central giant cell granuloma (CGCG) wer...
BACKGROUND: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosin...
Accurate diagnosis of adult Spirometra mansoni infections remains challenging, due to the limited se...
Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...
OBJECTIVES: To evaluate the depiction capability of fine lung nodules and airways using high-resolut...
Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...
MOTIVATION: Histopathology, particularly hematoxylin and eosin (H&E) staining, is pivotal for diagno...
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is i...
BACKGROUND AND PURPOSE: Diagnosis of tumefactive demyelination can be challenging. The diagnosis of ...
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind...
Contemporary surgical pathology workflows often prioritize slide examination based on case registry ...
Accurate differentiation between rheumatoid arthritis (RA) and knee synovitis (KS) is essential for ...
BACKGROUND: The leiomyosarocma (LMS) is the most common soft tissue sarcoma, and its molecular subty...
[This corrects the article DOI: 10.1093/ckj/sfae019.].
Tuberculosis (TB) remains a major global health challenge, particularly in low- and middle-income co...
This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscal...