Latest AI and machine learning research in pathology for healthcare professionals.
Sphenoid sinus fluid is considered a supportive indicator of drowning in forensic medicine, but trad...
Benign Prostatic Hyperplasia (BPH) is a common condition among aging men that often causes significa...
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) immunohistochemistry (IHC) ex...
Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure t...
BACKGROUND: Individuals with chronic hepatitis B (CHB) may harbor occult yet significant liver patho...
Surgical image segmentation is vital for various stages of surgical procedures, from preoperative pl...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...
OBJECTIVE: Quantitative Susceptibility Mapping (QSM) is a magnetic resonance imaging technique t...
With the development of science and technology, lithium batteries, as important energy storage devic...
This article explores the expanding role of molecular diagnostics in breast pathology. It emphasizes...
We present TLPath, a deep learning framework that predicts bulk-tissue telomere length from tissue m...
UNLABELLED: Perineural invasion (PNI) is an important pathologic feature of cervical cancer that is ...
The early and precise diagnosis of gynecological malignancies, such as cervical cancer, is critical ...
Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the d...
Infectious keratitis remains a leading cause of corneal blindness and visual impairment worldwide, w...
We present a deep learning driven computational approach to overcome the limitations of self-interfe...
BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable mole...
Mechanical characterization of cancer tissues is crucial for understanding tumor progression and res...
Though critical, traditional diagnostic approaches such as X-ray, CT scans, bronchoscopy and tissue ...
OBJECTIVES: This study developed and validated a deep learning model for diagnosing lymphadenopathy ...
Differentiating myocarditis from myocardial infarction (MI) using Cardiac Magnetic Resonance (CMR) i...