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Artificial Intelligence and Machine Learning

We build intelligence into the artificial intelligence and deep/machine learning algorithms using multi-modality images and patient clinical information. Some of the sample applications include​

  • Abnormality in chest x-rays,

  • Breast mass and calcification analysis,

  • Lesion detection in endoscopy images of the alimentary canal,

  • Identification of abnormal cytology in histopathology images and

  • Detection of potential aneurysms and large vessel occlusions in CT/MR angiograms.

The AI models are based on advanced Convolution Neural Networks, Tensor Flow, Support Vector Machine, Naïve Bayes Classifier and Generative Adversarial Networks. The data access is seamlessly integrated with the departmental PACS and Hospital/Radiology Information Systems. In addition to the images, the patient history and reports are made an integral part of the AI analysis for assisting in a holistic diagnosis.

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