Here are some of the trailblazers in this exciting arena:

###Viz.ai

- Founded in 2016 and based in San Francisco, Viz.ai uses deep learning algorithms to analyze CT scans for signs of stroke. Their product Viz LVO leverages AI to identify blockages in brain vessels that cause ischemic strokes and sends notifications to specialists so they can intervene quickly.

- Viz.ai has raised $71 million in funding so far. Their technology has been used at over 200 healthcare sites and has helped over 40,000 stroke patients get faster treatment.

### Aid

- Founded in 2016 and based in Tel Aviv, Aidoc uses AI to flag abnormalities in medical images and speed up radiologist workflow. Their products analyze X-rays, CTs, and MRIs for indications of intracranial hemorrhage, pulmonary embolism, and more.

- Aidoc has raised $47 million to date. Their technology is currently used at over 100 medical centers globally.

Here is the continued mockup for the rest of the newsletter:

### Lunit

- Founded in 2013 and based in Seoul, Lunit leverages AI deep learning technology to analyze medical images and data. Their products Lunit INSIGHT and Lunit INSIGHT MMG can detect abnormalities and analyze breast cancer screening exams.

- Lunit has raised $73 million in funding so far. Their software is used worldwide across more than 600 medical sites in 40 countries.

### VoxelCloud

- Founded in 2016 and based in Shanghai, VoxelCloud offers an AI-powered medical image cloud platform. Their product VoxelCloud ORTHO enables intelligent analysis of musculoskeletal radiology exams using deep learning.

- VoxelCloud has raised $22 million in funding. Their platform aims to make quality radiology AI more accessible for hospitals and clinics.

### Arterys

- Founded in 2011 and based in San Francisco, Arterys develops FDA-cleared medical imaging AI software. Their products help automate cardiac MRI and CT analysis to assist clinicians in making faster diagnoses.

- Arterys has raised over $43 million in funding so far. Their technology has analyzed over 100,000 scans across more than 100 countries.

### Covera Health

- Founded in 2017 and based in New York City, Covera Health is a radiology AI company. Their product Covera Scan analyzes Ultrasounds to detect Polycytic Ovary Syndrome and improve women's health outcomes.

- Covera Health has raised $20 million in funding to date. Their technology makes Ultrasound more accessible and efficient for clinicians.

### Qure.ai

- Founded in 2016 and based in Mumbai, Qure.ai builds AI algorithms to interpret radiology scans. Their qER brain CT suite detects abnormalities linked to strokes, hemorrhages, and fractures.

- Qure.ai has raised over $68 million in funding so far. Their products are used at over 200 hospitals globally.

### Zebra Medical Vision

- Founded in 2014 and based in Israel, Zebra builds AI imaging analytics solutions. Their products automatically identify visual symptoms in scans and flag them for radiologists to improve workflow.

- Zebra Medical Vision has raised $52 million in funding to date. Their products have been used to analyze over 2 million scans across hospitals worldwide.

### Enlitic

- Founded in 2014 and based in San Francisco, Enlitic develops deep learning solutions to detect diseases from medical image data. Their products intelligently analyze chest X-rays to prioritize critical cases and optimize radiologist workflow.

- Enlitic has raised $27 million in funding so far. They aim to make quality diagnostics more efficient and accessible.

### Nucleai

- Founded in 2017 and based in Tel Aviv, Nucleai provides AI-powered pathology image analysis. Their products identify biomarkers in tissue samples to assist pathologists in making diagnoses.

- Nucleai has raised $14 million in funding to date. Their technology aims to improve pathology workflow efficiency.

Are you part of a startup working in radiology, medical imaging, or diagnostic technology?

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