Latest AI and machine learning research in pathology for healthcare professionals.
The precise segmentation of cervical cell images is regarded as a fundamental prerequisite for the implementation of computer-aided cervical cancer screening. Pap smear images are often acquired under complex imaging conditions and may be affected by red blood cells, residual staining, mucus, inflammatory background, and cellular debris. These non-cell background components may resemble cervical c...
Electrofacies (EF) analysis has become an effective approach for reservoir characterization, particularly in heterogeneous reservoirs where core data are limited or unavailable. This study presents an integrated Artificial Intelligence (AI) and Machine Learning (ML)-based workflow combining electrofacies analysis, hydraulic flow unit (HFU) classification, and petrographic investigations for reserv...
Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinically important, yet interpretation is operator-depen...
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexity of tumors. However, CRISPR-Cas-based medicines f...
Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must overcome multiple hierarchical barriers before reac...
PURPOSE: The advancement of decision support systems for pathology and their implementation in clinical practice have been limited by the necessity fo...
BACKGROUND: Glioblastoma (GBM) has an extremely poor prognosis, and its malignant progression is closely associated with glutamine metabolic reprogram...
Infertility affects approximately one in six people globally and demand for ARTs, is expected to rise as parenthood is increasingly delayed. However, ...
Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it remains substantially underdiagnosed. Current diagno...
Nonclinical toxicity studies are essential components of the drug development process and are based on labor-intensive visual examination of large num...
The emergence of bacterial resistance to antibiotics poses a significant threat to human health; thus, there is an urgent need for new strategies in u...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, multifactorial condition. To achieve truly personali...
RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical practice for hepatic fat quantification. However, t...
Accurate and efficient diagnosis of breast cancer from histopathological images remains a major challenge in clinical practice due to subjective inter...
4D imaging millimeter-wave radar is quickly redrawing the map for autonomous perception. However, a significant limitation persists: conventional deep...
OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preoperative computed tomography (CT) radiomics model,...
BACKGROUND: Clinical decision-making requires integrating history, physical examination, laboratory, and imaging data. In the emergency department (ED...
BACKGROUND: Hashimoto's thyroiditis (HT) is the most common autoimmune thyroid disorder, often diagnosed using ultrasound. However, conventional gray-...