Empowering healthcare caregivers with the power of AI
AI is a technology for the people. AI has the power and potential to radically transform healthcare. Deeptek will use in-house innovated "assisted and augmented" (AaA) imaging focused algorithmic tools designed by our experts and covering a wide sphere of medical imaging like Radio-graphs, CT Scan and MRI. Deeptek's aim is to save hundreds of hours of valuable time of caregivers, in our case imaging experts and other stake holders dependent and associated with medical imaging! Saved time means additional reach of caregivers in treating more individuals in need of care and giving prompt results. Saved time on workflow management amounts to drastic saving in cost of healthcare by appropriate use of valuable time of experts. DeepTek's vision is to provide cutting edge solutions powered by deep learning algorithms which will bridge the wide gap in the imaging sector empowering experts, physicians, patients and governmental sector, not for profit organization power which can potentially systematize the dynamics of imaging workflow.
DeepTek uses the latest technology to "POWER ON" the grid of imaging. Be it the cloud powered GPU offerings which trigger artificial neural networks and deep neural nets customized to the task at hand or the advanced API, seamless interfaces and simple to use GUI - the stakeholders will have it all on a platter. Deeptek's offerings will change your workstations and mobile devices to dependable analytical tools, which gives experts, individuals, device manufacturers the confidence, reach and benefits of AI tech so that you could do more in less time.
Meet The Team
Dr. Amit Kharat
DNB, PhD (MSK), FICR.
Consultant MSK Imaging,
Professor of Radiology.
PhD Guide, Fellowship Director, MSK Imaging. Pioneered
tele-radiology practice since 2005 in Western India, CyberTeleRadiology.
51 publications, Scientific Papers at ISS 2015, ECR 2015, RSNA 2014, ICR 2104
Awards: Fellowship ICRI 2016, Ashok Mukherjee Oration 2014,
K M Rai Oration 2017
A PhD in Control Systems from the University of California, Berkeley.
17 years of experience in the application of advanced mathematical techniques to various enterprise problems.
His expertise spans in Medical Imaging, Financial Engineering, Machine Learning and Control Theory.
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