Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Healthcare M&A, mergers and acquisitions business deal.

Radiology AI developer Deepc acquires Osimis image management platform

The integration brings artificial intelligence to an image management service used for patient care and clinical trials.

February 15, 2024
Video of Mahadevappa Mahesh, PhD, incoming-AAPM president, professor of radiology and a medical physicist, Johns Hopkins University School of Medicine, explains key trends in imaging physics presented at the Radiological Society of North America (RSNA) 2023 meeting.

6 key trends in medical imaging physics

Mahadevappa Mahesh, PhD, incoming American Association of Physicists in Medicine president, discusses key developments in the specialty. 

February 14, 2024
Seno Medical Imagio breast imaging system.

AMA adds code to allow for reimbursement of opto-acoustic imaging modality

The new imaging modality was pioneered by Seno Medical for diagnosing breast cancer.

February 13, 2024
artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

FDA clears advanced AI model for detecting, quantifying bleeding strokes

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.

February 9, 2024
Marielle Scherrer-Crosbie, MD, Hospital of the University of Pennsylvania, discusses the latest trends in cardiac strain echo.

Interest in strain echo imaging is rising, but hurdles remain

Marielle Scherrer-Crosbie, MD, told Cardiovascular Business that the current lack of reimbursement for strain echocardiography has been a challenge for care teams. 

February 9, 2024
Kyle Souligne, director, enterprise imaging radiology, Agfa Healthcare, discusses technologies like workflow orchestration, AI and cloud that can be used to optimize radiologist’s processes and create efficiency, so they work smarter, not harder. These technologies are playing an increasing role to address the shortage of radiologists.

Optimizing reading efficiency to address radiologist shortages

Agfa Healthcare's Kyle Souligne discusses technologies that can optimize physicians' efficiency to help practices do more with less. 

February 5, 2024

FDA awards breakthrough designation to AI-powered tuberculosis diagnostic tool

A rising number of patients in the U.S. are diagnosed with TB, and AI is being deployed to turn the tide.

February 5, 2024

Harvard professor accused of doctoring images used in decades of research

A total of 28 studies have been flagged as potentially fraudulent, with some published as early as 2001.

February 2, 2024

Around the web

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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