Latest AI and machine learning research in pathology for healthcare professionals.
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent artificial intelligence (AI) models, using histological and/or clinical features, can: (1) distinguish Spitz tumors from conventional melanomas; (2) predict the underlying genetic aberration of Spitz tumors; and (3) predict the diagnostic category...
BACKGROUND: Cleft lip repair presents complex surgical challenges requiring precise preoperative planning. Emerging computer vision technologies powered by artificial intelligence (AI) may support more consistent and accurate surgical assessments. This systematic review defines the scope, methods, and performance of computer vision for preoperative soft-tissue landmarking in cleft lip repair. METH...
Recent advances in veterinary diagnostic oncology have significantly improved neoplasia detection in animals, including zoo, exotic, and wildlife spec...
Artificial intelligence (AI) has become an increasingly valuable tool in gastrointestinal endoscopy, especially in the context of inflammatory bowel d...
OBJECTIVE: To develop and externally validate a computer-aided diagnosis (CADx) model using artificial intelligence (AI) for classifying laryngeal les...
Transcriptomic classification methods have been proposed for ovarian clear cell carcinoma. However, their clinical significance and association with p...
OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccR...
Artificial intelligence (AI) algorithms leveraging digital pathology slides are currently transforming the way urological cancers are diagnosed and gr...
BACKGROUND: Sarcopenia has been widely studied in rectal cancer with increasing evidence to suggest that other body composition parameters, in particu...
INTRODUCTION: Lung cancer remains a leading cause of cancer mortality globally, emphasising the critical need for non-invasive and cost-effective earl...
BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric cancer (GC). CAG often lacks typical symptoms in its e...
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, underscoring the need for improved strategies in diagnosis, treatment, and...
BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool in dentistry, particularly in the early detection of oral cancer (OC) and ora...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its su...
Malignant tumors present a significant global health challenge, and accurate pathological grading is essential for personalized treatment. Traditional...
BACKGROUND AND OBJECTIVE: Early and accurate diagnosis of gastric cancer is crucial for improving patient prognosis. However, conventional histopathol...
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a major cause of cancer mortality in Asia, where histopathological diagnosis of endoscopic bi...
Hepatocellular carcinoma (HCC) remains a major global health challenge due to its molecular heterogeneity, late diagnosis, and limited therapeutic opt...
BACKGROUND: To investigate whether a machine learning (ML) model integrating CT-based radiomics and clinical features can noninvasively evaluate the a...
BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivity and diagnostic uncertainty in distinguishing hig...