Latest AI and machine learning research in pathology for healthcare professionals.
Genetic testing for pathogenic germline variants is critical for the personalized management of high...
Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...
Gastrointestinal tumors are among the malignancies with the highest global incidence and mortality r...
Hyperspectral imaging has been used to determine plant stress status. However, the biological interp...
OBJECTIVE: Accurate pathology reports are crucial for the diagnosis and treatment planning of cancer...
Breast cancer is a significant health issue for women, characterized by its high rates of mortality ...
Autonomous synthesis platforms integrating machine learning with in situ diagnostics have the potent...
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to ipsilateral invasive breast cancer (IBC)...
Differentiating histologic subtypes of fat-poor small renal masses using conventional imaging remai...
Over the past decade, liquid biopsy (LB) has emerged as a key tool in oncology. Its utility in non-i...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...
Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative d...
Recent advances in imaging and computation have enabled analysis of large three-dimensional (3D) bio...
Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by i...
BACKGROUND: Given the increasing prevalence of generative AI (GenAI) models, a systematically evalua...
Pancreatic cancer is a highly aggressive malignancy with rising incidence and mortality rates, often...
INTRODUCTION: Optical diagnosis is an essential part of a high-quality colonoscopy, but highly exper...
Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the mo...
Achieving detailed neuronal structural information in large-volume brain tissue has been a longstand...
Electron microscopy (EM) has revolutionized our understanding of cellular structures at the nanoscal...