Latest AI and machine learning research in pathology for healthcare professionals.
Chronic Myeloid Leukemia (CML) progresses through chronic, accelerated, and blast crisis phases, mak...
Characterizing the cardinal neuropathologies in Alzheimer disease (AD) can be laborious, time consum...
In the US, pre-diabetes and diabetes are increasing in prevalence alongside other chronic diseases. ...
HER2 expression level is a key factor in determining the optimal treatment course for breast cancer ...
Schistosomiasis currently affects over 250 million people and remains a public health burden despite...
Escalating thyroid nodule prevalence necessitates precise ultrasonographic diagnosis, which is const...
To compare Digital Breast Tomosynthesis (DBT) tissue matching errors with and without artificial int...
This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...
Soft tissue sarcomas (STS) histopathological classification system has several conceptual caveats, i...
The global burden of cervical cancer, with a notable prevalence in regions like Tanzania, highlights...
Artificial Intelligence (AI) has demonstrated a high image processing capacity and improved diagnost...
Large-scale cohort studies exploring the etiology of obstructive jaundice (OJ) are scarce, with curr...
Machine learning (ML) applications within diagnostic histopathology have been extremely successful. ...
Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually....
Multiclass segmentation of microanatomy in kidney biopsies is an important and non-trivial task in c...
Inflammatory bowel disease (IBD) research is a dynamic field. However, the growing volume of electro...
Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threaten...
Intraplaque haemorrhage (IPH) represents a critical feature of plaque vulnerability as it is robustl...
Neoantigens have emerged as promising targets for personalized cancer immunotherapy. However, accura...
Accurate diagnostics are essential for disease control and elimination efforts. However, access to d...
Human liver transplantation is severely constrained by a critical shortage of donor livers, with app...