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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Samsung

Samsung finalizes $92M acquisition of French ultrasound AI firm Sonio

Founded in 2020, the acquired firm offers products to aid physicians in assessing and documenting OB/GYN scans, such as prenatal ultrasounds.

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Segmed, a startup that gathers medical imaging data for AI development, raises $10M

Toronto venture capital firm iGan Partners and 67-hospital Advocate Health led the Series A financing round with participation from other investors. 

Video interview with ACR CEO Dana Smetherman, MD, who explains how the American College of Radiology can help radiology practices evaluate and vet AI.

ACR offers resources to achieve radiology AI best practices

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

Enlitic

Radiology data sharing vendor Enlitic to acquire rival for $5M

The Fort Collins, Colorado, company is purchasing all shares of Laitek Inc., a major provider of medical imaging data migration and routing services in the U.S. 

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

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Nearly half of FDA cleared AI medical devices have not been validated on patient data

The FDA’s current draft guidance on the approval process for AI devices does not specify the type of validation the agency recommends manufacturers use. 

ChatGPT large language models radiology health care

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. 

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Around the web

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.