Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Eko Health, the California-based healthcare technology company known for its advanced stethoscopes, has received U.S. Food and Drug Administration (FDA) approval for a new artificial intelligence (AI) offering designed to detect low ejection fraction (EF).

Eko Health raises $41M to expand footprint of its AI-powered stethoscopes

Now that the company has gained FDA approval for multiple algorithms, Eko Health aims to reach as many patients as possible with its AI-powered devices.

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

FDA has now cleared 700 AI healthcare algorithms, more than 76% in radiology

Medical imaging makes up 76% of all the FDA-cleared artificial intelligence clinical algorithms used for direct patient care.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise. 

artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

FDA clears AI-powered brain MRI evaluation software

The newly approved system was designed to assist clinicians with the detection of Alzheimer's disease and other forms of dementia.

Steven Lester, MD, Mayo Clinic, explains how AI will soon revolutionize the echo lab. Photo by Dave Fornell. #ASE #ASE360

How AI can make echo labs more efficient

Advances in AI technology are expected to give physicians more time to provide high-quality care to their patients.

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