Latest AI and machine learning research in pathology for healthcare professionals.
Dental caries, periodontitis, oral mucosal inflammation, peri-implant infections, and oral tissue defects remain major clinical burdens. Conventional treatments, including antimicrobials, antibiotics, anti-inflammatory agents, and regenerative materials, are frequently limited by rapid clearance from saliva-exposed oral surfaces, insufficient discrimination between pathogenic and commensal microor...
As global temperatures continue to rise, the incidence and mortality rates of heatstroke (HS) have significantly increased. However, the current forensic diagnostic standards lack clear pathological criteria for deaths caused by HS, and the mechanisms of multi-organ damage induced by HS are not yet fully understood. In this study, a rat model of HS-induced death was established under conditions of...
Histopathology interpretation of lung cancer involves careful examination of tissue morphology, especially differentiating benign lung tissue, adenoca...
Oral potentially malignant disorders (OPMDs), particularly leukoplakia, represent critical precursors to oral cancer requiring systematic monitoring. ...
The clinical course of Mantle Cell Lymphoma (MCL) varies between individual patients. Early detection of risk is crucial to assign MCL patients to nov...
Image-based machine learning tools are powerful resources for analyzing medical images, with deep learning-based semantic segmentation commonly utiliz...
BACKGROUND: Malignant Peripheral Nerve Sheath Tumors (MPNSTs) are aggressive sarcomas often arising in the spine, characterized by high metastatic pot...
Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approach for differentiating benign from malignant breas...
Breast density is a key factor in mammographic screening, as high-density tissue increases cancer risk and can obscure lesions, reducing diagnostic se...
Gastric cancer is the fifth most diagnosed cancer worldwide and is the fifth most deadly. An essential part of the diagnosis and prognosis of cancer i...
Multimodal large language models (LLMs) offer significant potential for image-based diagnostics, yet their reliability in routine clinical microbiolog...
BACKGROUND: Intraoperative ultrasound plays a central role in hepatobiliary surgery for the detection of liver lesions, but image interpretation is ch...
BACKGROUND: Pancreatic enucleation (PE) preserves parenchyma in benign/low-grade malignant pancreatic tumors but risks postoperative pancreatic fistul...
OBJECTIVE: This review systematically evaluates the current research landscape, methodological characteristics, and translational challenges of artifi...
Biofilm-associated infections present a critical therapeutic challenge due to antibiotic resistance and impaired tissue healing. Here, we present a mi...
BACKGROUND: Triple-negative breast cancer (TNBC) is an aggressive molecular subtype. With the new definition of HER2-low status and the availability o...
BACKGROUND: Convolutional neural networks (CNN) for skin cancer classification have shown results comparable to dermatologists but are vulnerable to m...
While ultrathin graphene sensors hold promise for flexible electronics, their applicability faces a challenging arising from the unavoidable nanoscale...
Electron microscopy provides direct real-space access to the structural heterogeneity of catalysts across multiple length scales. However, its applica...
OBJECTIVE: Artificial intelligence (AI) demonstrates significant potential in medical imaging diagnosis, yet its real-world clinical value requires va...