
MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.
MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. ππ§
Discover the newest research about AI innovations in π§ͺ Pathology.

MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. ππ§

Deep learning model predicts extrapancreatic perineural invasion in pancreatic cancer with 79.7% accuracy. ππ€

Second harmonic generation (SHG) microscopy enhances brain imaging, revealing critical insights into trauma, tumors, and neurodegenerative diseases. π§ π¬

Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. ππ«

AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. ππ©»

Innovative imaging techniques boost IDC-P detection accuracy to 98% using machine learning and texture analysis. ππ¬

AI surpasses human accuracy in detecting intestinal parasites in stool samples, enhancing diagnostic capabilities in laboratories. π¦ π

Dartford and Gravesham NHS Trust implements Clinisys ICE for efficient test ordering in radiology and pathology. π₯π
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. π§ π

Exploring homebrew AI in pathology: potential benefits and challenges for diagnostic practices. π€π