Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: Immunohistochemistry (IHC) is a crucial step in the diagnostic and therapeutic management of colorectal carcinoma (CRC). This study aimed to explore the feasibility and diagnostic accuracy of general-purpose vision-language models (VLMs), specifically Gemini (2.5 Pro) and ChatGPT-4.0, for the automated classification of MMR status using immunohistochemical whole-slide images (WSIs). METHO...
Understanding how objects are positioned and related to each other in space is an important part of visual perception. Although people can recognize these relationships quite naturally, it is not easy to teach artificial intelligence to do the same. It becomes even more difficult when only a few examples are available for each type of spatial relation within a given domain. This dataset was create...
Early prediction of malignant pleural effusion (MPE) recurrence within 3 months is essential for optimizing management in lung cancer patients. This s...
Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeated sampling, enhancing diagnostic accuracy and gui...
Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of cancer-related mortality. Early and accurate diagnosi...
Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) patients, while T cell exhaustion and metastatic pr...
Autopsy-derived brain tissue analysis is crucial for understanding neurobiology, but post-mortem handling can introduce artifacts. We studied adult hu...
BACKGROUND: Accurate non-invasive diagnosis of early-stage ovarian cancer remains challenging because of the limited number of biomarkers. Although ar...
PURPOSE: Cytology is a cornerstone of pathologic diagnosis. However, the use of artificial intelligence (AI) models for cytology-based diagnostics rem...
In this study, classification models based on laser-induced breakdown spectroscopy (LIBS) technology, combined with machine learning (ML) and deep lea...
Colorectal cancer remains one of the leading causes of cancer mortality, and its prognosis is strongly dependent on early detection. Conventional diag...
The brain is a highly complex organ, exhibiting a highly dynamic chemical environment, playing crucial role in coordinating pathophysiological process...
OBJECTIVE: This study aimed to develop deep learning framework based on the You Only Look Once version 8 (YOLOv8) instance segmentation architecture a...
Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene events. In this study, the effect of substrate ty...
Early detection of breast cancer (BC) through mammography screening is critical for reducing mortality and improving patient outcomes. However, full-p...
BACKGROUND: Pyroptosis, a pro-inflammatory form of regulated cell death mediated by gasdermin pore formation and typically triggered by inflammasome a...
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what exte...
BACKGROUND: Cleft lip repair presents complex surgical challenges requiring precise preoperative planning. Emerging computer vision technologies power...
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...