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Founded Year

2016

Stage

Series D - II | Alive

Total Raised

$263.6M

Last Raised

$30M | 11 days ago

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+40 points in the past 30 days

About Aidoc

Aidoc provides a care coordination platform. It offers a wide range of solutions such as real-time notifications for neuro care, automatic analysis of imaging to identify abnormalities, and more. It was founded in 2016 and is based in Tel Aviv, Israel.

Headquarters Location

Aminadav Street 3

Tel Aviv,

Israel

972 549981478

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ESPs containing Aidoc

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Healthcare & Life Sciences / Monitoring, Imaging & Diagnostics Tech

The radiology AI — image enhancement market focuses on using artificial intelligence technology to improve the quality and speed of medical imaging exams. AI algorithms are able to generate high-resolution radiology scans with much less data than is required for conventional approaches. This means patients can be exposed to lower levels of radiation (in the case of X-ray/CT scans) or heavy metals …

Aidoc named as Leader among 6 other companies, including Subtle Medical, Pearl, and Koios Medical.

Aidoc's Products & Differentiators

    Detection and Triage Radiology Solutions

    Our products are triage and notification algorithms that run on various radiology scans (including CTs, CTPAs, and CTAs), tailored to detect specific abnormalities and prioritize them for the radiologists directly in their working environment. Radiologists and critical care teams can receive notifications of the existence of the abnormality as well as the location of the abnormality on the image through a myriad of notification interfaces - from their desktop based radiology viewing software to their personal mobile device. We have 7 FDA clearances and 10 CE marks for the following pathologies: pulmonary embolism, incidental pulmonary embolism, intracranial hemorrhage, large vessel occlusion (stroke), cervical spine fractures, intra-abdominal free gas (pneumoperitoneum) and rib fractures. Our solutions ensure that abnormalities

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Expert Collections containing Aidoc

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Aidoc is included in 3 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

10,987 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

D

Digital Health 50

150 items

The most promising digital health startups transforming the healthcare industry

D

Digital Health

10,595 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.

Aidoc Patents

Aidoc has filed 3 patents.

The 3 most popular patent topics include:

  • image processing
  • artificial neural networks
  • computer vision
patents chart

Application Date

Grant Date

Title

Related Topics

Status

8/27/2019

2/21/2023

Medical imaging, Sulci (neuroanatomy), Image processing, Artificial neural networks, Computer vision

Grant

Application Date

8/27/2019

Grant Date

2/21/2023

Title

Related Topics

Medical imaging, Sulci (neuroanatomy), Image processing, Artificial neural networks, Computer vision

Status

Grant

Latest Aidoc News

GE HealthCare gets 510(k) clearance for algorithm to detect collapsed lungs

Nov 29, 2023

The system provides immediate notifications to support the triaging of emergency room patients. Published Nov. 29, 2023 Dive Brief: GE HealthCare received  510(k) clearance for an on-device algorithm for the detection and notification of collapsed lungs in chest X-ray images. The system, called Critical Care Suite 2.1, provides immediate notification of the presence of a collapsed lung, known medically as a pneumothorax, to support the triaging of emergency room patients. Adding on-device pneumothorax detection and triage notifications expands the capabilities of the product, the first version of which was cleared by the Food and Drug Administration in 2019. Dive Insight: In a 510(k) clearance letter sent in May, GE HealthCare said it developed the pneumothorax detection algorithm using more than 12,000 images from six sources, including the National Institutes of Health. GE HealthCare split the images into training, verification and validation datasets, excluding 804 images from two North American sites from the training process to support the final validation. The algorithm achieved a sensitivity of 84.3% and a specificity of 93.2% for the detection of pneumothoraces on both anteroposterior and posteroanterior frontal chest X-ray images, according to data in the letter. Sensitivity was higher for large pneumothoraces (96.3%) than for small pneumothoraces (75%). When 10 independent readers analyzed 400 images from the validation dataset, the algorithm improved performance for the detection of pneumothorax, measured by mean area under the curve, by 14.5%, according to the letter. Reader sensitivity increased by 16.3% and reader specificity increased by 12.4%. GE HealthCare sees the data as evidence that the algorithm can help manage order volumes and cut turnaround times for reports. “The adoption of these digital solutions helps unlock efficiencies across the entire clinical workflow and empowers radiologists and their teams in making critical decisions with confidence in time-sensitive situations,” Jyoti Gupta, president and CEO of women’s health and X-ray for GE HealthCare, said in a statement. GE HealthCare’s clearance follows an FDA decision on Aidoc technology for the triage and notification of pneumothorax on X-ray exams. Aidoc’s algorithm runs on all X-ray machines and received 510(k) clearance in March 2022. Recommended Reading

Aidoc Frequently Asked Questions (FAQ)

  • When was Aidoc founded?

    Aidoc was founded in 2016.

  • Where is Aidoc's headquarters?

    Aidoc's headquarters is located at Aminadav Street 3, Tel Aviv.

  • What is Aidoc's latest funding round?

    Aidoc's latest funding round is Series D - II.

  • How much did Aidoc raise?

    Aidoc raised a total of $263.6M.

  • Who are the investors of Aidoc?

    Investors of Aidoc include Alpha Intelligence Capital, CDIB Capital International, Tanmeya Capital Ventures, General Catalyst, Emerge and 7 more.

  • Who are Aidoc's competitors?

    Competitors of Aidoc include Rology, RapidAI, Qure.ai, Kheiron Medical Technologies, Gleamer and 7 more.

  • What products does Aidoc offer?

    Aidoc's products include Detection and Triage Radiology Solutions and 2 more.

  • Who are Aidoc's customers?

    Customers of Aidoc include Yale New-Haven Health, Cedars-Sinai Medical Center, UZB (brussels university hospital), Sheba Medical Center and Unfallkrankenhaus Berlin (UKB).

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Compare Aidoc to Competitors

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Qure.ai

Qure.ai provides an artificial intelligence (AI) based system to identify abnormalities in head computed tomography (CT) scans. It leverages deep learning to diagnose diseases from radiology and pathology imaging and create personalized cancer treatment plans from psychopathology imaging and genome sequences. The company was founded in 2016 and is based in Mumbai, India.

Ultromics Logo
Ultromics

Ultromics provides an artificial intelligence (AI)-based echocardiography imaging analysis platform. The company provides software solutions such as the EchoGo product, which enhances the accuracy of the diagnosis of cardiovascular situations and provides reports for clinicians without any need for physical software on-site. The company was founded in 2017 and is based in Oxford, United Kingdom.

K
Kheiron Medical Technologies

Kheiron Medical Technologies operates as a healthcare software company. It helps cancer patients by analyzing medical images and helps to enable the automation of radiology reporting tasks. It was formerly known as Maesterai. The company was founded in 2016 and is based in London, United Kingdom.

Arterys Logo
Arterys

Arterys is a company that focuses on the integration of artificial intelligence and data in the medical sector, specifically in the domain of radiology. The company offers a cloud-based platform that uses AI to extract actionable insights from medical images, aiming to improve diagnostic decision making, efficiency, and productivity. Its services primarily cater to the healthcare industry. Arterys was formerly known as Morpheus Medical, Inc.. It was founded in 2011 and is based in San Francisco, California.

VoxelCloud Logo
VoxelCloud

VoxelCloud utilizes artificial intelligence and cloud-computing technologies to provide automated medical image analysis and clinical decision support for medical practitioners. VoxelCloud aims to provide accurate, accessible, and personalized medical image analysis by building medical image knowledge graph based on medical semantics and multiple artificial intelligence models.

Enlitic Logo
Enlitic

Enlitic is a company that focuses on healthcare data management, specifically within the domain of radiology. The company offers solutions that standardize, protect, integrate, and analyze medical imaging data, using artificial intelligence to improve clinical workflows and create a real-world evidence medical image database. Enlitic primarily serves the healthcare industry, with a particular focus on radiologists, PACS administrators, hospital executives, and researchers. It was founded in 2014 and is based in San Francisco, California.

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