Aidoc
Aidoc Medical is an Israeli technology company that develops computer-aided simple triage and notification systems. Aidoc has obtained U.S. Food and Drug Administration and CE mark approval for its stroke, pulmonary embolism, cervical fracture, intracranial hemorrhage, intra-abdominal free gas, and incidental pulmonary embolism algorithms. Aidoc algorithms are in use in more than 900 hospitals and imaging centers, including Montefiore Nyack Hospital, LifeBridge Health, LucidHealth, Yale New Haven Hospital, Cedars-Sinai Medical Center, University of Rochester Medical Center, and Sheba Medical Center.
 | |
| Industry | Medical technology |
|---|---|
| Founded | 2016 |
| Founders | Elad Walach Michael Braginsky Guy Reiner |
| Headquarters | Tel Aviv, Israel[1] |
| Website | www.aidoc.com |
Aidoc Medical is an Israeli technology company that develops computer-aided simple triage and notification systems. Aidoc has obtained U.S. Food and Drug Administration and CE mark approval for its stroke, pulmonary embolism, cervical fracture, intracranial hemorrhage, intra-abdominal free gas, and incidental pulmonary embolism algorithms.[2][3]
Aidoc algorithms are in use in more than 900 hospitals and imaging centers, including Montefiore Nyack Hospital, LifeBridge Health, LucidHealth, Yale New Haven Hospital, Cedars-Sinai Medical Center, University of Rochester Medical Center, and Sheba Medical Center.[4]
History
[edit]Aidoc was founded in 2016 by Elad Walach as the CEO,[5] Michael Braginsky as the CTO and Guy Reiner as the VP. In April 2017, the company raised $7M, led by TLV Partners,[6] and in April 2019, the company raised another $27M, led by Square Peg capital.[7] There have been several additional rounds of funding as well, bringing Aidoc's total investment to $370M as of July 2025.[8]
In August 2018, Aidoc gained FDA clearance for its intracranial hemorrhage system,[9] and in May 2019 it received clearance for the pulmonary embolism system.[10][11]
In January 2020, the system for detecting large-vessel occlusions (LVOs) in head CTA examinations obtained FDA clearance.[12][13][14]
In October 2024, it was reported that Aidoc is working with NVIDIA to develop a framework for deployment and integration of artificial intelligence tools in healthcare. The Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE) is a guideline to facilitate AI adoption in the healthcare industry.[15][16][17][18]
Products and market
[edit]Aidoc has developed a suite of artificial intelligence products that flag both time-sensitive and time-consuming (for the radiologist) abnormalities across the body. The algorithms are developed with large quantities of data to provide diagnostic aid for a broad set of pathologies. The company offers an array of algorithms that span across the body, including for intracranial hemorrhage, spine fractures (C, T & L), free air in the abdomen, pulmonary embolism, and more. It developed "Always-on AI", a term coined by Elad Walach that refers to a type of artificial intelligence that is "Always-on—constantly running in the background and automatically analyzing medical imaging data, identifying urgent findings, and sparing radiologists from "drowning" in vast amounts of irrelevant data.[19][20]
Aidoc's solutions cover medical conditions prevalent in all settings (ED/inpatient/outpatient), including level 1 trauma centers, outpatient imaging centers, teleradiology groups and, are set up in over 200 medical centers worldwide. Notable customers include the University of Rochester Medical Center[21] and Global Diagnostics Australia.[22]
Aidoc announced in 2024 that its new Clinical AI Reasoning Engine (CARE1) had been submitted for FDA approval.[23] In September 2025 Aidoc received a "Breakthrough Device Designation"[24] from the FDA for a new multi-triage solution that spans numerous acute findings in CT scans. Aidoc's CARE1 foundation model was the basis of the workflow on which the designation was made, enabling simultaneous coverage of multiple pathologies. This new designation allows parallel FDA review of multiple indications under a single submission.[25]
Clinical Research
[edit]A clinical study on Aidoc’ accuracy of deep convolutional neural networks for the detection of pulmonary embolism (PE) on CT pulmonary angiograms (CTPAs) was performed by the University Hospital of Basel and presented at the European Congress of Radiology, showing that the Aidoc algorithm reached 93% sensitivity and 95% specificity.[26][27][28] Clinical research has also been performed to test the diagnostic performance of Aidoc's deep learning-based triage system for the flagging of acute findings in abdominal computed tomography (CT) examinations. Overall, the algorithm achieved 93% sensitivity (91/98, 7 false negatives) and 97% specificity (93/96, 3 false-positive) in the detection of acute abdominal findings.[29][30]
Additional clinical research on Aidoc's Intracranial hemorrhage algorithm accuracy was presented at the European Congress of Radiology by Antwerp University Hospital, evaluating the use of its deep learning algorithm for the detection of intracranial hemorrhage on non-contrast enhanced CT of the brain.[31] The University of Washington completed a study on the accuracy of Aidoc's intracranial hemorrhage algorithm.[32]
See also
[edit]References
[edit]- ^ "AIDoc Medical Ltd". Bloomberg.
- ^ "Aidoc sets up camp at FDA with 6th approval for AI-powered diagnostics". Geektime. 21 October 2020. Retrieved 26 January 2024.
- ^ "Aidoc Always On Healthcare AI". Healthcare AI | Aidoc Always-on AI. Retrieved 26 January 2024.
- ^ Magazine, I. C. E. (31 July 2020). "Aidoc Artificial Intelligence Solutions". ICE. Retrieved 26 January 2024.
- ^ "Global Diagnostics Australia Incorporates Artificial Intelligence Into Its Radiology Applications". Yahoo Finance. 8 August 2019. Retrieved 22 November 2019.
- ^ O'Hear, Steve (26 April 2017). "AIDoc Medical raises $7M to bring AI to medical imaging analysis". TechCrunch. Retrieved 26 January 2024.
- ^ O'Hear, Steve (17 April 2019). "Aidoc, the AI solution for medical imaging analysis, raises $27M Series B". TechCrunch.
- ^ Landi, Heather (23 July 2025). "Aidoc lands $150M to build out clinical-grade foundation model". www.fiercehealthcare.com. Retrieved 25 July 2025.
- ^ "August 2018 510(k) Clearances". U.S. Food and Drug Administration. 7 September 2018.
- ^ "The meaning of regulatory approval for AI". AI Med. 15 May 2019.
- ^ "FDA OKs World's First AI Solution for Flagging Pulmonary Embolism". Medical Product Outsourcing. 16 May 2019.
- ^ "Aidoc's AI solution for LVOs gains FDA clearance". AI in Healthcare. 13 January 2020. Retrieved 22 January 2020.
- ^ "Medical Imaging Startup Aidoc Gets FDA Clearance For AI Solution To Spot Stroke". NoCamels Innovation News. 13 January 2020. Retrieved 11 March 2020.
- ^ Palmer, Whitney J. (13 January 2020). "AI Start-Up Receives FDA Clearance for Comprehensive CT Stroke Package". MJH Life Sciences. Archived from the original on 14 January 2020. Retrieved 10 April 2020.
- ^ "Aidoc, NVIDIA intro new plan to speed AI adoption in healthcare". Healthcare IT News. 22 October 2024. Retrieved 22 May 2025.
- ^ Pennic, Jasmine (21 October 2024). "Aidoc and NVIDIA Partner to Develop BRIDGE Guideline". Retrieved 22 May 2025.
- ^ "Aidoc and NVIDIA Partner to Create Guidelines for Pharma AI Integration". PharmExec. 22 October 2024. Retrieved 22 May 2025.
- ^ Beavins, Emma (22 October 2024). "HLTH24: Nvidia, Aidoc collaborate to develop guidelines to speed up AI adoption". Fierce Healthcare. Retrieved 22 May 2025.
- ^ Blum, Brian; Leichman, Abigail Klein (11 December 2018). "AI tool helps radiologists clear dangerous data bottleneck". Israel21c.
- ^ "Aidoc releases complete AI package for treatment of stroke". NeuroNews International. 23 September 2019.
- ^ "Nuance's AI Marketplace Delivers AI at Scale with Industry's First Workflow-Integrated Market for Diagnostic Imaging Algorithms". Nuance Communications. 26 November 2018.
- ^ "Global Diagnostics Australia incorporates artificial intelligence into its radiology applications". Global Diagnostics Australia. 8 August 2019.
- ^ Maddela, Vidya Sagar (3 December 2024). "Aidoc develops new AI foundation model CARE1 for CT imaging". Practical Patient Care. Retrieved 2 October 2025.
- ^ Health, Center for Devices and Radiological (20 August 2025). "Breakthrough Devices Program". FDA.
- ^ "Aidoc receives Breakthrough Device Designation from FDA for multi-triage imaging AI". ctech. 30 September 2025. Retrieved 2 October 2025.
- ^ Weikert, T.; Winkel, D. J.; Bremerich, J.; Stieltjes, B.; Parmar, V.; Sauter, A. W.; Sommer, G. (2020). "Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm". European Radiology. 30 (12): 6545–6553. doi:10.1007/s00330-020-06998-0. PMID 32621243.
- ^ "AI-powered detection of pulmonary embolism in CT pulmonary angiograms: a validation study of the diagnostic performance of prototype algorithms". Aidoc.
- ^ "Detection of intracranial haemorrhage on CT of the brain using a deep learning algorithm". Aidoc.
- ^ Winkel, DJ; Heye, T; Weikert, TJ; Boll, DT; Stieltjes, B. (20 November 2019). "Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations". Investigative Radiology. 54 (1): 55–59. doi:10.1097/RLI.0000000000000509. PMID 30199417. S2CID 52186362.
- ^ Winkel, D. J.; Heye, T.; Weikert, T. J.; Boll, D. T.; Stieltjes, B. (20 November 2019). "Evaluation of an AI-Based Detection Software for Acute... : Investigative Radiology". Investigative Radiology. 54 (1): 55–59. doi:10.1097/RLI.0000000000000509. PMID 30199417. S2CID 52186362.
- ^ "Preliminary Results of Aidoc's Deep Learning Algorithm Detection Accuracy for Pathological Intracranial Hyperdense Lesions". Aidoc.
- ^ P. Ojeda; M. Zawaideh; M. Mossa-Basha; D. Haynor (2019). "The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies". In Angelini, Elsa D.; Landman, Bennett A. (eds.). Medical Imaging 2019: Image Processing. p. 128. doi:10.1117/12.2513167. ISBN 9781510625457. S2CID 88494572.