Latest AI and machine learning research in pathology for healthcare professionals.
Acute lymphocytic leukemia (ALL) is a deadly cancer that not only affects adults but also accounts f...
The purpose of this study was to evaluate an artificial intelligence (AI) system for the classificat...
WD is caused by variants disrupting copper efflux resulting in excessive copper accumulation mainly...
Ovarian cancer is associated with poor prognosis. Platinum resistance contributes significantly to t...
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment...
Direct microscopic examination with potassium hydroxide is generally used as a screening method for ...
BACKGROUND: Pathological complete response (pCR) is considered a surrogate endpoint for favorable su...
Pathological myopia is a severe case of myopia, i.e., nearsightedness. Pathological myopia is also k...
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung canc...
PURPOSE: Ropinirole is an antiparkinsonian drug and has recently been suggested to be effective in ...
Machine learning methods have the potential to transform imaging techniques and analysis for healthc...
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of ...
Malignant pancreatic tumors involving the celiac artery can be resected with a distal pancreatectomy...
We presenta robust, long-range optical autofocus system for microscopy utilizing machine learning. T...
The selection of genes that are important for obtaining gene expression data is challenging. Here, w...
OBJECTIVES: To evaluate if artificial intelligence (AI) can discriminate recalled benign from recall...
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atheroscle...
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the hema...
The diagnosis of nonalcoholic fatty liver disease and associated fibrosis is challenging given the l...
A 69-year-old man was referred to the hepatobiliary surgeons for mild enlargement of an asymptomatic...
RATIONALE AND OBJECTIVES: To train and validate machine learning models capable of classifying suspi...