Latest AI and machine learning research in pathology for healthcare professionals.
This communication provides a multidisciplinary perspective on the contribution of nuclear medicine,...
In colorectal cancer histopathology, the collaborative perception of microscopic and salient lesions...
BACKGROUND: This study investigates the relationship between histopathological (HP) features, immuno...
BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses throu...
MOTIVATION: Spatial sequencing technologies enable the single-cell-level study of molecular organiza...
Tumors are highly heterogeneous, and whole-lesion radiomics analysis is a popular method for extract...
Chimeric antigen receptor (CAR) T cells have demonstrated curative potential in hematologic cancers ...
OBJECTIVE: To identify the predictors of renal relapse in patients with lupus nephritis (LN) and dev...
BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungo...
BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode u...
Despite prior success in classifying recurrent glioma noninvasively with multi-parametric MRI and AI...
BACKGROUND: Diagnosis of oral squamous cell carcinoma (OSCC) currently relies heavily on the subject...
PURPOSE: To develop a fatty acid metabolism-based deep learning model for predicting biochemical rec...
OBJECTIVES: To develop and validate a combined ultrasound-based radiomics-clinical model for differe...
BACKGROUND AND AIMS: Non-obstructive coronary plaques are a major source of future coronary events, ...
Whereas anti-PD-(L)1 therapies are widely used in cancer treatment, only a subset of patients achiev...
BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) is characterized by mitochondrial metabolic rep...
BACKGROUND: Globally, endometrial cancer (EC) is among the most prevalent gynaecological cancers, wi...
Purpose To compare the performance of an artificial intelligence (AI) system with that of radiologis...
BACKGROUND: Multimodal Large Language Models (LLMs) are increasingly positioned as diagnostic assist...
Human liver transplantation is constrained by a critical shortage of viable donor livers. In respons...