Latest AI and machine learning research in pathology for healthcare professionals.
Achieving detailed neuronal structural information in large-volume brain tissue has been a longstand...
BACKGROUND: Given the increasing prevalence of generative AI (GenAI) models, a systematically evalua...
Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by i...
Recent advances in imaging and computation have enabled analysis of large three-dimensional (3D) bio...
Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative d...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...
Over the past decade, liquid biopsy (LB) has emerged as a key tool in oncology. Its utility in non-i...
Histopathology is the reference standard for diagnosing the presence and nature of many diseases, in...
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increa...
Microchip-based exosome analysis has emerged as a promising approach for liquid biopsy in cancer dia...
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...
Glioblastoma (GBM) is a highly aggressive brain tumor with poor outcomes and limited treatment optio...
RATIONALE AND OBJECTIVES: Early detection of malignant lesions in ultrasound images is crucial for e...
Breast cancer remains a major global health concern where timely and accurate pathologic diagnosis i...
: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...
The structural sciences are undergoing a transformation driven by advancements in visualization tech...
PURPOSE: We explored the feasibility of constructing machine learning (ML) models based on subregion...
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...
Optimal pharmacokinetic (PK) profile, including tissue distribution, is pivotal for a drug achieving...
OBJECTIVES: This study aimed to predict and classify MRI PI-RADs scores using different machine lear...
The automatic screening of thyroid nodules using computer-aided diagnosis holds great promise in red...