Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because ...
BACKGROUND: Sinonasal inverted papilloma(SNIP) is a benign tumor with a potential of malignant trans...
Human enamel is a hierarchically organized hydroxyapatite biomineral, but it lacks regenerative capa...
The relationship between abdominal body composition and chronic kidney disease (CKD) is well-documen...
Breast cancer diagnosis from histopathological images remains a critical yet challenging task due to...
Prostate cancer exhibits complex transcriptional heterogeneity that underlies disease progression an...
OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of tumors that pose a signi...
Renal disease represents a significant public health concern, with renal microvascular lesions playi...
The accurate estimation of tissue microstructure requires a sufficient amount of Diffusion MRI (DMRI...
Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...
BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chro...
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease primarily affecting motor n...
The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in car...
RATIONALE AND OBJECTIVES: To investigate the performance of deep learning image reconstruction (DLIR...
UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient...
BACKGROUND: Body mass index (BMI) is the primary metric used to evaluate metabolic and bariatric sur...
OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone l...
This work addresses the challenge of accurately identifying living circulating tumor cell (CTC) from...
Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options i...
OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...
AI-driven multiscale virtual plant cell modeling represents a paradigm shift in plant systems biolog...