Latest AI and machine learning research in pathology for healthcare professionals.
Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be...
Liver cancer is one of the leading causes of cancer deaths in Asia and Africa. It is caused by the H...
Although safe and feasible, partial adrenalectomy is not a widespread procedure. Endorsement of robo...
BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosi...
Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell ...
To evaluate the outcomes of robot-assisted partial nephrectomy (RAPN) in cystic renal tumors. We r...
In coeliac disease (CeD), immune-mediated small intestinal damage is precipitated by gluten, leading...
Coronavirus disease 2019 (COVID-19) is a global pandemic posing significant health risks. The diagno...
IMPORTANCE: A chronic shortage of donor kidneys is compounded by a high discard rate, and this rate ...
From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tiss...
Digital tissue image analysis is a computational method for analyzing whole-slide images and extract...
The most frequent extracranial solid tumors of childhood, named peripheral neuroblastic tumors (pNTs...
BACKGROUND: Current commercially available transcatheter aortic valves are stored separately in a gl...
OBJECTIVE: Many tumors can metastasize to the adrenal glands, making the diagnosis of adrenal masses...
BACKGROUND: Spontaneous or fine-needle aspiration biopsy (FNAB)-induced remission of primary hyperpa...
This study aimed to evaluate the effect of an artificial intelligence (AI) support system on breast ...
Infrared spectra obtained from cell or tissue specimen have commonly been observed to involve a sign...
Cervical cancer is the fourth most common cancer in the world. Whole-slide images (WSIs) are an impo...
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules....
Robustness is an important aspect when evaluating a method of medical image analysis. In this study,...
The use of machine learning (ML) and deep learning (DL) methods in hematology includes diagnostic, p...