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. 

quality improvement QI artificial intelligence AI healthcare

AI and QI—a partnership made for healthcare

Within healthcare, artificial intelligence and quality improvement have some things in common. 

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AI ups detection of small prostate lesions by nearly 20%

Many experts believe that artifcial intelligence could help address issues with reader variability on prostate MRIs. 

Ultromics EchoGo Amyloidosis artificial intelligence

AI-enhanced echocardiography improves early detection of cardiac amyloidosis

The first FDA-cleared AI model of its kind was found to be an accurate screening tool for cardiac amyloidosis.

The AI enabled Dental Image Analyzer from DentalMonitoring uses a smartphone to scan a patient's mouth and the AI reconstructs a complete model of the mouth to compare with prior images to track the progress of orthodontic work at home. The FDA cleared the technology in cleared 2024. Photo by Dave Fornell Vivian Fornell

The FDA has cleared more than 1,200 clinical AIs—and submissions are increasing

In the past year, there has been a record number of new medical AI submissions, resulting in 300 new clinical AI clearances. The number of submissions has been steadily rising over the past decade.

AI algorithm that diagnoses depression from MRI scans gains key regulatory approval

Experts are hopeful the software can bring more objectivity to the diagnostic process by giving providers visual evidence of alterations in brain activity.

HeartFlow Plaque Analysis Example

AI-enabled coronary plaque evaluations included in new RBM guidelines

The use of advanced AI software to assess CCTA images continues to gain more momentum.

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Health system spends nearly $7M on AI to boost prostate MRI performance

About 50% of cases are diagnosed early when treatment is most effective, with the hospital system hoping to reach 75% by 2028. 

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Experts create AI system that can accurately diagnose osteoporosis using routine X-rays

Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.