|
E-Newsletter • January 2023 |
▼ ADVERTISEMENT
Editor's E-Note
Acute chest pain is an alarming symptom that may or may not signal a life-threatening medical condition. With emergency departments already dealing with high patient volumes and many hospitals experiencing a shortage of beds, quickly and effectively triaging which patients need immediate care is essential. To that end, a new AI model has shown promising results in helping physicians with this task by using chest X-rays to predict adverse outcomes. Read more in this month's e-News Exclusive.
Do you enjoy reading our newsletter? Please let us know on Twitter and/or Facebook.
— Dave Yeager, editor |
|
|
|
|
Researchers Use AI to Triage Patients With Chest Pain
AI may help improve care for patients who show up at the hospital with acute chest pain, according to a study published in Radiology. The deep-learning tool significantly improved prediction of adverse outcomes.
“To the best of our knowledge, our deep learning AI model is the first to utilize chest X-rays to identify individuals among acute chest pain patients who need immediate medical attention,” says the study’s lead author, Márton Kolossváry, MD, PhD, radiology research fellow at Massachusetts General Hospital (MGH) in Boston.
Acute chest pain syndrome may consist of tightness, burning, or other discomfort in the chest or a severe pain that spreads to your back, neck, shoulders, arms, or jaw. It may be accompanied by shortness of breath. Acute chest pain syndrome accounts for over 7 million emergency department (ED) visits annually in the United States, making it one of the most common complaints. Fewer than 8% of these patients are diagnosed with the three major cardiovascular causes of acute chest pain syndrome, which are acute coronary syndrome, pulmonary embolism, or aortic dissection. However, the life-threatening nature of these conditions and low specificity of clinical tests lead to substantial use of cardiovascular and pulmonary diagnostic imaging, often yielding negative results.
|
|
|
▼ ADVERTISEMENT
 |
|
|
Myth: AI Will Replace Diagnostic Radiology Jobs
A study published in Academic Radiology revealed that students are concerned AI will affect the number of available radiology jobs. An expert says that’s not true.
MRI Ultrasound Reduces Pain for Patients With Bone Metastases
A nonrandomized phase II trial in Italy revealed that MRI-guided focused ultrasound reduces pain and improves quality of life for patients with bone metastases.
AI Improves Brain Imaging Quality of Low-Field MR Scans
With their low spatial resolution and low signal-to-noise, low-field-strength MRI systems have the potential to revolutionize neuroimaging. AI is helping researchers achieve this goal. |
“Ringlike peripheral high iodine concentration had excellent interobserver agreement, showed high specificity (albeit poor sensitivity) for differentiating pulmonary metastasis from primary lung cancer, and independently predicted pulmonary metastasis. Iodine concentration maps from DECT [dual-energy CT] could help determine the diagnosis for lesions that are equivocal for pulmonary metastasis on conventional images.”
|
|
|
COVER STORY
No Hocus Pocus
With radiologist shortages at an all-time high, point-of-care ultrasound is poised to facilitate faster diagnoses, potentially preventing additional burdens on radiology departments.
FEATURE
Reading the Audience
Interactive radiology reports may help patients understand their medical conditions better, but can they be crafted to avoid radiologist burnout?
|
|
|
| Advertising Opportunities |
Have a product or service you want to market to radiology professionals? Utilize the reach of Radiology Today Magazine to accomplish your marketing goals. Email our experienced account executives today at sales@gvpub.com or call 800-278-4400 for more information.
|
| © 2023 Radiology Today Magazine |
|
|
