Can Chat GPT accurately refer patients to IR for treatment?
Chloe Cross, MD, of Icahn School of Medicine at Mount Sinai in New York City.In interventional radiology (IR), most of us quickly become accustomed to needing to explain what we do -- to other clinicians, patients, their families, and even our own families. But how do patients get their own information about IR, if at all? When a patient receives a diagnosis, they may have multiple medical specialists offering various treatment recommendations, so they may be unsure which to follow.If patients search for information using new tools like artificial intelligence, what is it telling them? How much does AI know about IR? Does ...
Source: AuntMinnie.com Headlines - April 1, 2024 Category: Radiology Authors: Chloe G. Cross, MD Tags: Interventional Interventional Radiology Source Type: news

AI shows promise in detecting interval breast cancers
AI can detect interval breast cancers that may often be overlooked, according to research published on March 28 in Clinical Radiology. For their study, Prof. Levent Çelik, MD, from Maltepe University Hospital and Erkin Aribal, MD, from Acibadem University, both in Istanbul, Turkey, found that when AI was implemented into breast cancer screening in a middle-income country, it achieved high sensitivity and specificity in detecting interval cancers that were initially labeled as BI-RADS 1 or 2. “AI has the potential to enhance screening mammogram outcomes, particularly in countries with limited resources, by reducing hu...
Source: AuntMinnie.com Headlines - April 1, 2024 Category: Radiology Authors: Amerigo Allegretto Tags: Subspecialties Breast Imaging Source Type: news

Can AI help chest DDR achieve clinical adoption?
Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology, according to researchers in New York City. A group at Mount Sinai Hospital developed a “pipeline” of convolutional neural networks (CNNs) to analyze lung areas in DDR image sequences from patients. The model performed well enough to act as a surrogate to standard pulmonary function tests, they found. “Our findings add to growing evidence suggesting DDR as a potential [pulmonary function test] surrogate,”...
Source: AuntMinnie.com Headlines - April 1, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Artificial Intelligence Source Type: news

Study finds decreases in imaging's share of all healthcare spending
Although medical imaging has frequently been considered a major culprit behind the growth of healthcare spending in the U.S., its share among employer-insured individuals actually decreased between 2010 and 2021, researchers have reported. In fact, imaging's part fell from 10.5% to 8.9% during the decade, according to a team led by first author Michal Horný of Emory University School of Medicine and senior author Richard Duszak, MD, of the University of Mississippi Medical Center in Jackson. What's more, "nominal spending" (i.e., the sum of payments from health plans and patients to health care providers for imaging and ...
Source: AuntMinnie.com Headlines - March 29, 2024 Category: Radiology Authors: Kate Madden Yee Tags: Economics Source Type: news

How are radiology practices impacted by annual changes to the MPFS?
Conclusion Understanding the annual changes in Medicare’s fee schedules is useful when analyzing areas where the practice’s revenue might be increasing or decreasing. Many commercial payers base their fees on the Medicare table, although not all of them make the same changes, or at the same time, as Medicare does. The same volume-weighted analysis technique can be applied to commercial fee schedules, as well. Healthcare Administrative Partners will continue to keep you abreast of the Medicare payment system. Sandy Coffta is vice president of client services at Healthcare Administrative Partners. The comments and...
Source: AuntMinnie.com Headlines - March 29, 2024 Category: Radiology Authors: Sandy Coffta Tags: Economics Source Type: news