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. 

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AI draws conclusions from interventional radiology adverse events data, helping docs design interventions

University of Toronto experts analyzed information from the U.S. FDA's database, pinpointing reasons that errors occurred during thermal ablation procedures. 

Dana Smetherman, MD, explains the ACR take on the growing radiology staffing shortage.

Radiology workforce shortage a major concern for the American College of Radiology

Dana H. Smetherman, MD, MBA, CEO of the ACR, discusses the reasons behind the worsening shortage of radiologists, along with possible solutions. 

AISAP, an Israeli healthcare technology company focused on using artificial intelligence (AI) to enhance medical imaging results, has gained U.S. Food and Drug Administration (FDA) clearance for its new point-of-care ultrasound (POCUS) software platform, AISAP Cardio.

FDA clears AI-powered POCUS platform for structural heart disease, heart failure

The cloud-based platform was designed to help even inexperienced users scan and diagnose a majority of common heart issues within minutes without leaving the patient’s side.

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ChatGPT's medical writing is getting so good that it may soon fool AI detectors

The large language model’s medical manuscripts are becoming so well constructed that it can be difficult to distinguish them from those compiled by humans. 

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Industry Watcher’s Digest

The NIH’s Office of Science Policy recently posted some essential new guidance for healthcare researchers. 

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7 points of positivity likely to win buy-in for healthcare AI

Kaiser Permanente AI exec Daniel Yang, MD: ‘With a focus on building trust, we use AI only when it advances our core mission of delivering high-quality, affordable healthcare services.’

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FDA approves new AI-powered imaging software from Nanox subsidiary

According to Nanox.AI, previously known as Zebra Medical Vision, the updated software helps "bridge the divide between radiology and cardiology."

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AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.