The intelligent CAD system detects affected regions in acute ischemic strokes using brain NCCT images. Employing deep learning, it identifies patterns undetectable by physicians within the critical first 24 hours, aiding timely and effective treatment.
NFC smart wristbands offer a reliable, paperless patient identification solution by connecting to clinical information systems. With a simple scan, they provide complete patient information, enhancing security, reducing medical errors, and improving hospital efficiency.
The intelligent CAD system detects Parkinson’s disease and localizes the substantia nigra (SN) region in brain TCS images. Using deep learning, it identifies subtle SN shrinkage patterns, aiding physicians in diagnosis and enabling timely treatment.
This AI model, trained using arterial blood gas normograms and the KNN algorithm, classifies blood status based on input values of CO₂, HCO₃⁻, pH, and H⁺ into one of seven categories: Normal, Metabolic/Respiratory Acidosis or Alkalosis (Acute or Chronic).
The second annual Isfahan Artificial Intelligence event
Specialized Artificial Intelligence Training Workshop