Aidoc

Last updated
Aidoc
Industry Medical technology
Founded2016
FoundersElad 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 FDA and CE mark approval for its stroke, pulmonary embolism, cervical fracture, intracranial hemorrhage, intra-abdominal free gas, and incidental pulmonary embolism algorithms. [2] [3]

Contents

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

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]

In August 2018, Aidoc gained FDA clearance for its intracranial hemorrhage system, [8] and in May 2019 it received clearance for the pulmonary embolism system. [9] [10]

In January 2020, the system for detecting large-vessel occlusions (LVOs) in head CTA examinations obtained FDA clearance. [11] [12] [13]

Products and market

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. [14] [15]

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 [16] and Global Diagnostics Australia. [17]

Clinical Research

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. [18] [19] [20] 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. [21] [22]

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. [23] The University of Washington completed a study on the accuracy of Aidoc's intracranial hemorrhage algorithm. [24]

Related Research Articles

<span class="mw-page-title-main">Radiology</span> Branch of medicine

Radiology is the medical specialty that uses medical imaging to diagnose diseases and guide their treatment, within the bodies of humans and other animals. It began with radiography, but today it includes all imaging modalities, including those that use no ionizing electromagnetic radiation, as well as others that do, such as computed tomography (CT), fluoroscopy, and nuclear medicine including positron emission tomography (PET). Interventional radiology is the performance of usually minimally invasive medical procedures with the guidance of imaging technologies such as those mentioned above.

<span class="mw-page-title-main">Pulmonary embolism</span> Blockage of an artery in the lungs

Pulmonary embolism (PE) is a blockage of an artery in the lungs by a substance that has moved from elsewhere in the body through the bloodstream (embolism). Symptoms of a PE may include shortness of breath, chest pain particularly upon breathing in, and coughing up blood. Symptoms of a blood clot in the leg may also be present, such as a red, warm, swollen, and painful leg. Signs of a PE include low blood oxygen levels, rapid breathing, rapid heart rate, and sometimes a mild fever. Severe cases can lead to passing out, abnormally low blood pressure, obstructive shock, and sudden death.

<span class="mw-page-title-main">Angiography</span> Medical imaging technique

Angiography or arteriography is a medical imaging technique used to visualize the inside, or lumen, of blood vessels and organs of the body, with particular interest in the arteries, veins, and the heart chambers. Modern angiography is performed by injecting a radio-opaque contrast agent into the blood vessel and imaging using X-ray based techniques such as fluoroscopy.

<span class="mw-page-title-main">Interventional radiology</span> Medical subspecialty

Interventional radiology (IR) is a medical specialty that performs various minimally-invasive procedures using medical imaging guidance, such as x-ray fluoroscopy, computed tomography, magnetic resonance imaging, or ultrasound. IR performs both diagnostic and therapeutic procedures through very small incisions or body orifices. Diagnostic IR procedures are those intended to help make a diagnosis or guide further medical treatment, and include image-guided biopsy of a tumor or injection of an imaging contrast agent into a hollow structure, such as a blood vessel or a duct. By contrast, therapeutic IR procedures provide direct treatment—they include catheter-based medicine delivery, medical device placement, and angioplasty of narrowed structures.

<span class="mw-page-title-main">Thrombolysis</span> Breakdown (lysis) of blood clots formed in blood vessels, using medication

Thrombolysis, also called fibrinolytic therapy, is the breakdown (lysis) of blood clots formed in blood vessels, using medication. It is used in ST elevation myocardial infarction, stroke, and in cases of severe venous thromboembolism.

<span class="mw-page-title-main">Intracranial hemorrhage</span> Hemorrhage, or bleeding, within the skull

Intracranial hemorrhage (ICH), also known as intracranial bleed, is bleeding within the skull. Subtypes are intracerebral bleeds, subarachnoid bleeds, epidural bleeds, and subdural bleeds.

<span class="mw-page-title-main">Pulmonary angiography</span>

Pulmonary angiography is a medical fluoroscopic procedure used to visualize the pulmonary arteries and much less frequently, the pulmonary veins. It is a minimally invasive procedure performed most frequently by an interventional radiologist or interventional cardiologist to visualise the arteries of the lungs.

<span class="mw-page-title-main">Teleradiology</span> Transmission and reading of radiological images

Teleradiology is the transmission of radiological patient images from procedures such as x-rays photographs, Computed tomography (CT), and MRI imaging, from one location to another for the purposes of sharing studies with other radiologists and physicians. Teleradiology allows radiologists to provide services without actually having to be at the location of the patient. This is particularly important when a sub-specialist such as an MRI radiologist, neuroradiologist, pediatric radiologist, or musculoskeletal radiologist is needed, since these professionals are generally only located in large metropolitan areas working during daytime hours. Teleradiology allows for specialists to be available at all times.

<span class="mw-page-title-main">Computer-aided diagnosis</span> Type of diagnosis assisted by computers

Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, Endoscopy, and ultrasound diagnostics yield a great deal of information that the radiologist or other medical professional has to analyze and evaluate comprehensively in a short time. CAD systems process digital images or videos for typical appearances and to highlight conspicuous sections, such as possible diseases, in order to offer input to support a decision taken by the professional.

<span class="mw-page-title-main">Computed tomography angiography</span> Medical investigation technique

Computed tomography angiography is a computed tomography technique used for angiography—the visualization of arteries and veins—throughout the human body. Using contrast injected into the blood vessels, images are created to look for blockages, aneurysms, dissections, and stenosis. CTA can be used to visualize the vessels of the heart, the aorta and other large blood vessels, the lungs, the kidneys, the head and neck, and the arms and legs. CTA can also be used to localise arterial or venous bleed of the gastrointestinal system.

<span class="mw-page-title-main">CT pulmonary angiogram</span> Medical imaging of blood flow between heart and lungs

A CT pulmonary angiogram (CTPA) is a medical diagnostic test that employs computed tomography (CT) angiography to obtain an image of the pulmonary arteries. Its main use is to diagnose pulmonary embolism (PE). It is a preferred choice of imaging in the diagnosis of PE due to its minimally invasive nature for the patient, whose only requirement for the scan is an intravenous line.

<span class="mw-page-title-main">High-resolution computed tomography</span> Diagnostic imaging test

High-resolution computed tomography (HRCT) is a type of computed tomography (CT) with specific techniques to enhance image resolution. It is used in the diagnosis of various health problems, though most commonly for lung disease, by assessing the lung parenchyma. On the other hand, HRCT of the temporal bone is used to diagnose various middle ear diseases such as otitis media, cholesteatoma, and evaluations after ear operations.

Imaging informatics, also known as radiology informatics or medical imaging informatics, is a subspecialty of biomedical informatics that aims to improve the efficiency, accuracy, usability and reliability of medical imaging services within the healthcare enterprise. It is devoted to the study of how information about and contained within medical images is retrieved, analyzed, enhanced, and exchanged throughout the medical enterprise.

Burton Drayer, MD, FACR, FANN, is an American radiologist and nationally recognized authority on the use of computed tomography and magnetic resonance imaging for diagnosing neurological disorders. From 2003 to 2008, he served as president, The Mount Sinai Hospital. As of 2020, he is the Charles M. and Marilyn Newman Professor and System Chair, Radiology, for The Mount Sinai Health System and Icahn School of Medicine at Mount Sinai Hospital in New York City.

Computer-aided simple triage (CAST) are computerized methods or systems that assist physicians in initial interpretation and classification of medical images. CAST is a sub-class of computer-aided diagnosis (CAD). CAST software systems perform a fully automatic initial triage (classification) of diagnostic medical imaging studies. CAST is primarily intended for emergency diagnostic imaging, where a prompt diagnosis of critical, life-threatening condition is required.

<span class="mw-page-title-main">Cerebral atherosclerosis</span> Medical condition

Cerebral atherosclerosis is a type of atherosclerosis where build-up of plaque in the blood vessels of the brain occurs. Some of the main components of the plaques are connective tissue, extracellular matrix, including collagen, proteoglycans, fibronectin, and elastic fibers; crystalline cholesterol, cholesteryl esters, and phospholipids; cells such as monocyte derived macrophages, T-lymphocytes, and smooth muscle cells. The plaque that builds up can lead to further complications such as stroke, as the plaque disrupts blood flow within the intracranial arterioles. This causes the downstream sections of the brain that would normally be supplied by the blocked artery to suffer from ischemia. Diagnosis of the disease is normally done through imaging technology such as angiograms or magnetic resonance imaging. The risk of cerebral atherosclerosis and its associated diseases appears to increase with increasing age; however there are numerous factors that can be controlled in attempt to lessen risk.

<span class="mw-page-title-main">Artificial intelligence in healthcare</span> Overview of the use of artificial intelligence in healthcare

Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to arrive at approximate conclusions based solely on input data.

<span class="mw-page-title-main">Medical imaging in pregnancy</span> Types of pregnancy imaging techniques

Medical imaging in pregnancy may be indicated because of pregnancy complications, intercurrent diseases or routine prenatal care.

Ronald Marc Summers is an American radiologist and senior investigator at the Diagnostic Radiology Department at the NIH Clinical Center in Bethesda, Maryland. He is chief of the Clinical Image Processing Service and directs the Imaging Biomarkers and Computer-Aided Diagnosis (CAD) Laboratory. A researcher in the field of radiology and computer-aided diagnosis, he has co-authored over 500 journal articles and conference proceedings papers and is a coinventor on 12 patents. His lab has conducted research applying artificial intelligence and deep learning to radiology.

<span class="mw-page-title-main">Computed tomography of the chest</span> Respiratory system imaging

Computed tomography of the chest or chest CT is a group of computed tomography scan protocols used in medical imaging to evaluate the lungs and search for lung disorders.

References

  1. "AIDoc Medical Ltd". Bloomberg.
  2. "Aidoc sets up camp at FDA with 6th approval for AI-powered diagnostics". Geektime. 2020-10-21. Retrieved 2024-01-26.
  3. "Aidoc Always On Healthcare AI". Healthcare AI | Aidoc Always-on AI. Retrieved 2024-01-26.
  4. Magazine, I. C. E. (2020-07-31). "Aidoc Artificial Intelligence Solutions". ICE. Retrieved 2024-01-26.
  5. "Global Diagnostics Australia Incorporates Artificial Intelligence Into Its Radiology Applications". Yahoo Finance. August 8, 2019. Retrieved November 22, 2019.
  6. O'Hear, Steve (2017-04-26). "AIDoc Medical raises $7M to bring AI to medical imaging analysis". TechCrunch. Retrieved 2024-01-26.
  7. "Aidoc, the AI solution for medical imaging analysis, raises $27M Series B – TechCrunch". TechCrunch. 17 April 2019.
  8. "August 2018 510(k) Clearances". U.S. Food and Drug Administration. 7 September 2018.
  9. "The meaning of regulatory approval for AI". AI Med. 15 May 2019.
  10. "FDA OKs World's First AI Solution for Flagging Pulmonary Embolism". Medical Product Outsourcing. 16 May 2019.
  11. "Aidoc's AI solution for LVOs gains FDA clearance". AI in Healthcare. January 13, 2020. Retrieved January 22, 2020.
  12. "Medical Imaging Startup Aidoc Gets FDA Clearance For AI Solution To Spot Stroke". NoCamels Innovation News. 13 January 2020. Retrieved 11 March 2020.
  13. Palmer, Whitney J. (13 January 2020). "AI Start-Up Receives FDA Clearance for Comprehensive CT Stroke Package". MJH Life Sciences. Retrieved 10 April 2020.
  14. Blum, Brian; Leichman, Abigail Klein (11 December 2018). "AI tool helps radiologists clear dangerous data bottleneck". Israel21c.
  15. "Aidoc releases complete AI package for treatment of stroke". NeuroNews International. 23 September 2019.
  16. "Nuance's AI Marketplace Delivers AI at Scale with Industry's First Workflow-Integrated Market for Diagnostic Imaging Algorithms". Nuance Communications. 26 November 2018.
  17. "Global Diagnostics Australia incorporates artificial intelligence into its radiology applications". Global Diagnostics Australia. 8 August 2019.
  18. "Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm".
  19. "AI-powered detection of pulmonary embolism in CT pulmonary angiograms: a validation study of the diagnostic performance of prototype algorithms". Aidoc.
  20. "Detection of intracranial haemorrhage on CT of the brain using a deep learning algorithm". Aidoc.
  21. 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.
  22. 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.
  23. "Preliminary Results of Aidoc's Deep Learning Algorithm Detection Accuracy for Pathological Intracranial Hyperdense Lesions". Aidoc.
  24. 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.