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Aidoc's 6th FDA clearance for AI Solution

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Aidoc announced today that the US Food and Drug Administration (FDA) has given regulatory clearance for the commercial use of its triaging and notification algorithms for flagging and communicating incidental pulmonary embolism . Flagging incidental, critical findings is a huge technical challenge due to the varied imaging protocols used and lower incidences of such cases. The ability to prioritize incidental critical conditions accurately is a breakthrough in the value AI can bring to the radiologist workflow. "The most common use case we experienced is for critical unsuspected findings in oncology surveillance patients" said Dr. Cindy Kallman, Chief, Section of CT at Cedars-Sinai Medical Center. "The ability to call the referring physician while the patient is still in the house is huge. We are essentially offering a point-of-care diagnosis of PE for our outpatients. Our referring physicians have been completely wowed by this."


Artificial intelligence can help analyze CT scans

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Aidoc, a startup company pioneering the use of deep learning in radiology, announced on Wednesday the world's first comprehensive, full-body solution utilizing artificial intelligence to help analyze CT scans.


Aidoc gets third FDA nod for AI-based cervical spine fracture algorithm - MedCity News

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Highlighting the company's rapid progress in the radiology space, Israeli startup Aidoc has received its third FDA clearance for its AI-based algorithm to help highlight potential instances of cervical spinal fractures. The regulatory decision comes just a few weeks after the FDA cleared the company's pulmonary embolism product. Aidoc also has approval for its algorithm for the detection of intracranial hemorrhages through CT scans. The company's cervical spinal fracture product already received approval from European regulators. Delayed diagnosis of cervical spinal fracture is a common problem in emergency rooms and can lead to potential major neurological issues including quadriplegia.


AI Saving Brain: FDA Clears Aidoc's Complete AI Stroke Package

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Aidoc, the leading provider of AI solutions for radiologists, today announced that the US Food and Drug Administration (FDA) has cleared its AI solution for flagging Large-Vessel Occlusion (LVO) in head CTA scans, marking Aidoc's fourth FDA-cleared AI package. Combined with Aidoc's previously-cleared AI module for flagging and prioritizing intracranial hemorrhage, together they provide a comprehensive AI package for the identification and triage of both ischemic and hemorrhagic stroke in CTs, speeding time to treatment when every minute counts. "Stroke is the ultimate time-critical condition," said Dr. Marcel Maya, Co-chair Department of Imaging, Cedars-Sinai Medical Center. "The faster we can identify, diagnose and treat it, the better the outcome for patients. Aidoc's comprehensive stroke package flags both large vessel occlusion and hemorrhages inside our existing workflows, ensuring we can diagnose stroke faster and decide on the best course of treatment. We're already seeing how this has a positive impact on department efficiency and patient length of stay."


AIDOC in Seoul Invited to attend the first Asian Blockchain Summit

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On April 6th,2018, Jacky Li, the AIDOC mentor(the AIDOC Asian consultant) was invited to attend the Asian Blockchain Summit in Seoul, as representative of AIDOC. Based on cryptology and blockchain, the first Asian Blockchain Summit was jointly held by GBIC, FBG and BLOCK72.The South Korean Blockchain Promotion and Introduction Conference for overseas blockchain projects brought together nine outstanding blockchain projects from Asia to discuss the development and prospects of blockchain technology with local media, exchanges, famous critics and investors. Jacky Li gave a related speech on AIDOC at the summits. He insisted that the blockchain in the medical and health fields might help solve the data silos problem and ensure data security. Besides, TOKEN of blockchain might encourage patients to share daily data which would help provide full data monitoring for future visits or rehabilitation.