Latest AI and machine learning research in pathology for healthcare professionals.
At the so-called in-bore, MRI-guided prostate biopsy, the radiologist in the MRI suite manually dire...
Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo contin...
Radiomics has potential advantages in the noninvasive histopathological and molecular diagnosis of g...
The application of deep learning for automated segmentation (delineation of boundaries) of histologi...
Cancer identification and classification from histopathological images of the breast depends greatly...
The effects of resistance training (RT) associated with calcium β-hydroxyβ-methylbutyrate (CaHMB) su...
Magnetic resonance imaging (MRI) presents a detailed image of the internal organs via a magnetic fie...
Medical devices making use of radio frequency (RF) and microwave (MW) fields have been studied as al...
Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist betwee...
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytologica...
Computed Tomography (CT) imaging is widely used for studying body composition, i.e., the proportion ...
BACKGROUND: Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Path...
Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is par...
Breast cancer is the most common cancer in women and poses a great threat to women's life and health...
Diagnosis prediction is an important predictive task in health care that aims to predict the patient...
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are needed for ...
Fully-automated nuclear image segmentation is the prerequisite to ensure statistically significant, ...
Frozen sections provide a basis for rapid intraoperative diagnosis that can guide surgery, but the d...
OBJECTIVES: Artificial intelligence (AI) has been an important addition to medicine. We aimed to exp...
OBJECTIVE: This study used deep learning for diagnosing common, benign hyperpigmentation.