Lunit (KRX:32813), a leading provider of AI for cancer diagnostics and precision oncology, today announced that 21 studies featuring its AI solutions will be presented at the European Congress of ...
Artificial intelligence has a critical role to play in supporting clinicians beyond the initial breast cancer diagnosis. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in ...
Photonic crystal sensor shows over 91% accuracy for cervical cancer screening, maintaining performance across varied ...
Benefits include reduced radiation exposure, fewer adverse reactions, higher image quality, and better detection of malignant features.
“The core AI model developed through this research can be adopted as the brain of a software system to be used to assist the doctors for decision-making in cancer diagnosis," added Shafiabady. "The ...
Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be analyzed in just one minute using a new AI tool developed by researchers at the ...
Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...
A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.
A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease.
Discover how India's unique resources could lead to groundbreaking advancements in global cancer care and research.
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