- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
AI & Medical Imaging: The Ethical Issues, Pt. 1
What’s critical, and what radiologists can do.
The use of artificial intelligence (AI) in medical imaging is not new – in fact, it has been a topic of conversation at the Radiological Society of North America (RSNA) annual meeting for at least the past five years. And, with that continued growth comes the obligation among radiologists to approach its use in medical imaging in the most ethical ways possible.
On Monday, radiology ethics expert David Larson, M.D., professor radiology at Stanford University, discussed how data used in AI tools are now being applied to clinical care. That information holds tremendous value, but the industry does not yet have the ethical, regulatory, and legal constructs in place to ensure the data is handled in the most proper fashion.
To delve into the ethical issues that are facing radiology currently, as well as what radiologists can do ensure they approach this situations and opportunities appropriately, Diagnostic Imaging spoke with Larson about what he discussed.
For more RSNA coverage, click here.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.
The Reading Room Podcast: Emerging Trends in the Radiology Workforce
February 11th 2022Richard Duszak, MD, and Mina Makary, MD, discuss a number of issues, ranging from demographic trends and NPRPs to physician burnout and medical student recruitment, that figure to impact the radiology workforce now and in the near future.
FDA Clears Updated AI Platform for Digital Breast Tomosynthesis
November 12th 2024Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.
