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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Example of the Siemens Origin AI-automated cardiac ultrasound system performing auto contours and measurements after the AI sees what is being imaged and the operator hits the AI button on the console. The system is designed to be an assistant to the operator and knows the next steps in the exams.

Siemens Healthineers unveils 'truly revolutionary' AI-enabled echo system

The new-look system is able to evaluate a situation and anticipate what users may need next.

Video of Partho Sengupta, MD, explaining two major shifts in AI for echocardiography at ASE 2023. These include GPT and deep learning to automate measurements. #ASE23 #ASE2023 #ASE #AI

2 key reasons the use of AI in echocardiography is growing

Partho Sengupta, MD, an expert on the use of AI in cardiology, says some of the technologies being developed today will fundamentally change how cardiologists and sonographers do their jobs.

FDA clears new AI to guide point-of-care cardiac ultrasound exams

The FDA approved UltraSight's AI to show ultrasound users how to perform a diagnostic quality cardiac ultrasound exam at the point of care in multiple settings.

Roberto Lang, MD, explained the AI advances in echocardiography that will make it a requirement to have in the coming years at ASE 2023. #ASE #AIhealthcare #ASE2023

Echo labs not using AI will be left behind

Echocardiography expert Roberto Lang, MD, says artificial intelligence will be so important to cardiac ultrasound in the near future that echo labs not using it will be inefficient and less accurate than labs that do use it.

Rajesh Bhayana MD Toronto General Hospital in Toronto on ChatGPT passing radiology board.

Latest version of ChatGPT AI passes radiology board exam

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

liver cancer

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted. 

Comparison of a 2D digital mammogram and breast tomosynthesis 3D mammography from UCSF.

Radiologist performance has improved since the introduction of DBT for breast cancer screening

Since being approved by the U.S. Food and Drug Administration in 2011, DBT has become the most common method for breast cancer screening, and as of September 2022, 84% of all U.S. mammography screening facilities housed DBT units. 

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Experts developed a deep learning model that can estimate breast density

When tested, the model achieved a performance comparable to that of human experts.

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