Latest AI and machine learning research in pathology for healthcare professionals.
Cancer recurrence is one of the primary causes of patient mortality following treatment, indicating ...
BACKGROUND Optimizing surgical approaches for robot-assisted partial nephrectomy (RAPN) is vital for...
In recent years, technological advances in tissue preparation, high-throughput volumetric microscopy...
Medical intelligence detection systems have changed with the help of artificial intelligence and hav...
Accurate tumor identification during surgical excision is necessary for neurosurgeons to determine t...
A 48-year-old man with a medical history of hypertension and no family history of prostate cancer pr...
During starvation in the yeast vacuolar vesicles fuse and lipid droplets (LDs) can become internali...
We have an example of a synergetic effect between neuroscience and connectome via artificial intelli...
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in diagnosin...
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous ...
Mesoscale microscopy images of the brain contain a wealth of information which can help us understan...
AIM OF THE STUDY: Methotrexate (MTX) causes oxidative stress-related liver damage. Our objective was...
BACKGROUND: Most of superficial soft-tissue masses are benign tumors, and very few are malignant tum...
Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings a...
Ulcerative colitis (UC) is an inflammatory bowel disease of unknown cause that typically affects the...
Digital pathology (DP), or the digitization of pathology images, has transformed oncology research a...
The rapid development of precision medicine in recent years has started to challenge diagnostic path...
Despite recent medical advancements, breast cancer remains one of the most prevalent and deadly dise...
Intraoperative margin analysis is crucial for the successful removal of cutaneous squamous cell carc...
OBJECTIVES: To develop and validate CT-based deep learning (DL) models that learn morphological and ...
SIGNIFICANCE: Mueller matrix (MM) microscopy has proven to be a powerful tool for probing microstruc...