Latest AI and machine learning research in pathology for healthcare professionals.
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...
OBJECTIVE: This study developed and validated a deep learning model based on clinical and histopatho...
BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of ...
Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and ...
Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) patholo...
Accurate preoperative diagnosis of papillary thyroid carcinoma (PTC) histological subtypes and lymph...
Characterizing the conformational ensemble of biomolecular systems is key to understand their functi...
PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...