Latest AI and machine learning research in pathology for healthcare professionals.
The expansion of dermatological mobile health (mHealth) and teledermatology has generated numerous d...
Screening for gastric cancer (GC) is critical for improving patient survival, yet current clinical m...
Adipose tissue has a central role in systemic energy balance and the pathogenesis of obesity and its...
PURPOSE: The objective of this study was to develop and externally validate complementary magnetic r...
Patients with resected pancreatic ductal adenocarcinoma (PDAC) can have different outcomes despite s...
INTRODUCTION: Morphological examination of bone marrow aspirates (BMA) remains essential for the dia...
Molecular imaging technologies have transformed analytical chemistry by enabling molecular identific...
PURPOSE: Accurate intraoperative assessment of radiofrequency ablation (RFA) margins in hepatic mali...
BACKGROUND: Cervical nodal metastasis remains one of the strongest determinants of treatment plannin...
OBJECTIVE: Colorectal cancer (CRC) is molecularly, cellularly and spatially heterogeneous, and curre...
Pulmonary nodules are increasingly detected by thoracic imaging and low-dose computed tomography-bas...
Large language models are increasingly explored as clinical decision-support tools, but the relation...
The translation of deep learning architectures from controlled experimental settings into real-world...
This study validates a deep learning model for automated ureteral length measurement on CT using gro...
Histopathology-based cancer diagnosis is crucial for early detection and timely therapeutic interven...
Oral squamous cell carcinoma (OSCC) is the most prevalent oral malignancy, with delayed diagnosis co...
Artificial intelligence (AI) and procedure-linked digital health technologies are beginning to trans...
Machine-learning models in chemistry are increasingly trained on values compiled from many published...
Bile duct hyperplasia in rodents, caused by chemical cytotoxicity, bile flow interference, or aging,...
Vestibular disorders are common, heterogeneous, and diagnostically challenging. Nystagmus is an impo...
BACKGROUND: Outcome prediction in neuro-oncology remains challenging due to heterogeneity in tumor b...