Latest AI and machine learning research in pathology for healthcare professionals.
Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therapy for both benign and malignant breast tumors. This review comprehensively examines the current clinical status, technical principles, and therapeutic outcomes of US-guided MWA in breast tumor management. We discuss the biophysical mechanisms of MWA, its advantages over other ablation techniques-suc...
Renal cell carcinoma is the primary cause of cancer-related mortality, highlighting the importance of early detection and accurate diagnosis. Manual histopathology image classification methods include limitations such as labor effort, time consumption, and interpathologist variations, which can lead to misdiagnosis, especially in the early stages. An autonomous solution based on deep learning is e...
Purpose To develop a digitized integrated feature-based interpretable machine learning classification model to accurately recognize complex thyroid no...
The pore radius distribution plays a significant role in characterizing the porous structure of powder particles, yet quantifying radii spanning 100 n...
BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various malignant neoplasms. However, its prognostic role ...
BACKGROUND: Frozen section (FS) tissue assessment is essential for guiding intraoperative surgical decision-making in oncology, particularly in proced...
Semiconductor nanocrystals with uniform morphology and composition are expected to show consistent responses during light-matter interactions. However...
The pursuit of autonomous chemical transformations with single-bond precision represents a central challenge in molecular nanoscience. While scanning ...
This study aims to integrate lesion-specific pericoronary adipose tissue (PCAT) radiomics analysis with existing clinical and imaging methods under th...
Deep learning is expected to aid pathologists in tasks such as tumour segmentation. We developed a general tumour segmentation model for histopatholog...
OBJECTIVES: For indeterminate thyroid nodules, molecular tests offer high negative predictive value (NPV), reducing missed malignancies, but have limi...
BACKGROUND AIMS: The scalable manufacturing of cell therapies creates a significant need for robust process analytical technologies, where automated a...
AIM: The clinical integration of four-dimensional flow magnetic resonance imaging (4D-flow MRI) for cardiovascular assessment remains a challenge due ...
BACKGROUND: The field of pathology has not yet fully realized the potential of artificial intelligence (AI) and digital pathology. Adoption must be dr...
Oral squamous cell carcinoma (OSCC), the most common oral malignancy, requires accurate diagnostic methods for patient stratification and treatment gu...
PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestinal (GI) malignancies by offering curative treatment...
Rare diseases pose significant diagnostic challenges due to their low prevalence, limited clinical awareness, and pronounced phenotypic heterogeneity....
OBJECTIVE: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and management of ischemic stroke. Amide proton transfer (APT)...
Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical management, but remains a challenge. We developed...