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Aidoc Introduces the World’s First Comprehensive AI Solution for Analysing CT Scans for the Entire Human Body

Rectangle Image
Product News

Aidoc Introduces the World’s First Comprehensive AI Solution for Analysing CT Scans for the Entire Human Body

Aidoc, a startup pioneering the use of deep learning in radiology, announced the world’s first and only comprehensive, full-body solution utilizing artificial intelligence to help analyze CT scans, highlighting medical findings for radiologists. The workflow-integrated solution offers support for radiologists covering areas such as the head, c-spine, chest, and abdomen.

"Aidoc's differentiable approach positions them to overcome the challenging threshold for true adoption of AI solutions by providing significant and clinically relevant value to the radiologist's practice, in respect to both efficiency and quality," said Paul J. Chang, M.D., FSIIM, Vice-Chairman of Radiology Informatics, University of Chicago School of Medicine.

AI-powered technology can have significant impact analyzing acute findings, where time and accuracy are essential. The Aidoc platform expands medical imaging analysis far beyond available solutions – which remain relatively specialized with limited application – extending the clinical value of AI to a major portion of radiologists’ daily workload.

“Radiologists are becoming overwhelmed by a steadily increasing number of scans, but are still using the same tools they’ve been using for years. Most other industries have entered the age of AI – now it’s radiology’s turn," says CEO of Aidoc Elad Walach. "By covering the entire body, we’re enabling radiologists to use one technology for reaping the benefits of AI across the workflow.”

Aidoc obtained the CE (Conformité Européenne) Mark last year, making its head & c-spine solution accessible to medical institutions and patients across Europe, to the delight of many European practitioners. “Based on our results from clinical trials with Aidoc, we firmly believe that their solutions will strongly enhance our clinical workflow," said Bram Stieltjes, M.D., VC of Research, University Hospital of Basel.
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