Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: This study aimed to differentiate between benign and malignant gallbladder polyps preope...
Machine learning drives osteoporosis detection and screening with higher clinical accuracy and acces...
Microscopy and image analysis play a vital role in parasitology research; they are critical for iden...
OBJECTIVES: The four-repeat (4R) tauopathies are a group of neurodegenerative diseases, including pr...
Lung cancer is one of the most prevalent malignancies, characterized by high morbidity and mortality...
Diagnosis prediction is a critical task in healthcare, where timely and accurate identification of m...
With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...
BACKGROUND: Early diagnosis of low ejection fraction (EF) remains challenging despite being a treata...
Emerging evidence has suggested a potential pathological association between early-onset left-sided ...
Head and neck squamous cell carcinoma (HNSCC) remains a globally prevalent malignancy with high morb...
OBJECTIVE: Multi-institutional datasets are widely used for machine learning from clinical data, to ...
Osteoarthritis (OA) is the most common type of arthritis and affects patients with chronic pain, whi...
BACKGROUND: While triplet therapy (HTI), which combines hepatic arterial infusion chemotherapy (HAIC...
To investigate the diagnostic capability of multiple machine learning algorithms combined with intra...
The emerging trend of vision language models (VLMs) has introduced a new paradigm in artificial inte...
Accurate segmentation of mammographic mass is very important as shape characteristics of these masse...
Glioblastoma (GBM) is classified into subtypes according to the molecular expression profile; the pr...
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weak...
AIM: To develop and validate a combined model based on magnetic resonance imaging (MRI), and whole-s...
Photoacoustic microscopy (PAM), an imaging modality with emerging importance in diverse biomedical a...
OBJECTIVE: Hysteroscopy is commonly used for diagnosing benign endometrial conditions, but its diagn...