Latest AI and machine learning research in pathology for healthcare professionals.
Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, a...
Due to the decreasing age of onset and the postponement of childbearing, there is a growing number o...
Breast cancer is a significant health issue for women, characterized by its high rates of mortality ...
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to ipsilateral invasive breast cancer (IBC)...
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...
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...
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...
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...