AI can be used to'rule-out' breast cancer on mammography
A deep-learning algorithm can rule out the presence of breast cancer on screening mammograms, improving specificity and yielding significant workflow and downstream savings, according to research published April 10 in Radiology.
A team of investigators led by first author Stefano Pedemonte, PhD, of AI software developer Whiterabbit.ai, and senior author Richard Wahl, MD, of the Mallinckrodt Institute of Radiology, trained and tested a deep-learning algorithm using over 160,000 2D full-field digital mammography exams. They found their model could sharply reduce the number of screening mammograms requiring radiologist revie...
Source: AuntMinnie.com Headlines - April 10, 2024 Category: Radiology Authors: Erik L. Ridley Tags: Breast Breast Imaging Source Type: news
Why Aren't Some Women Getting Screening Mammograms? Social Factors May Be to Blame
(MedPage Today) -- Factors such as social isolation, lack of transportation, and financial concerns are preventing some women from getting recommended screening mammograms, a CDC Vital Signs report found.
The study "shows that experiencing health... (Source: MedPage Today Public Health)
Source: MedPage Today Public Health - April 9, 2024 Category: American Health Source Type: news
Many Factors Stop U.S. Women From Getting Mammograms
TUESDAY, April 9, 2024 -- Health care cost and access are not the only barriers women face in getting lifesaving mammograms, a new government report finds.
Food insecurity, lack of transportation, less hours at work and feelings of isolation also... (Source: Drugs.com - Daily MedNews)
Source: Drugs.com - Daily MedNews - April 9, 2024 Category: General Medicine Source Type: news
AI helps select patients for supplemental breast cancer screening
In conclusion, AISmartDensity effectively identified patients who were likely to benefit from supplemental imaging after a negative screening mammogram,” they wrote.
The researchers noted that their model is currently acting as a postscreening reader in a randomized clinical trial to flag high-risk mammograms for supplemental MRI. This trial will provide further evidence of the model’s real-world performance in a clinical setting, according to the authors.
“This study highlights the potential of AI-based risk prediction in the era of personalized screening, offering precise identification of individuals who could b...
Source: AuntMinnie.com Headlines - April 9, 2024 Category: Radiology Authors: Erik L. Ridley Tags: Breast Artificial Intelligence Breast Imaging Source Type: news
Mammogram Advice Varies for Older, Breastfeeding Moms Mammogram Advice Varies for Older, Breastfeeding Moms
Older, Breastfeeding Mothers Face Differing Advice About MammogramsMDedge News (Source: Medscape Hematology-Oncology Headlines)
Source: Medscape Hematology-Oncology Headlines - April 8, 2024 Category: Cancer & Oncology Tags: Ob/Gyn & Women ' s Health Source Type: news
MedCognetics nabs patent for breast AI tech
Medical imaging AI developer MedCognetics has been awarded a patent for its AI technology in mammography by the U.S. Patent and Trademark Office (USPTO).
The patent covers architectural strategies and methodologies for achieving unbiased AI in breast imaging. The company highlighted that this is supported by MedCognetics’ peer-reviewed publications in industry conferences such as RSNA 2023 and the European Society of Radiology (ESR) 2024, as well as a grant from the National Institutes of Health (NIH).
The USPTO patent number for this MedCognetics entry is 11,948,297. (Source: AuntMinnie.com Headlines)
Source: AuntMinnie.com Headlines - April 4, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Source Type: news
Siemens Healthineers gets FDA nod for Mammomat B.brilliant system
The Mammomat B.brilliant mammography platform by Siemens Healthineers has received 510(k) clearance by the U.S. Food and Drug Administration (FDA). Image courtesy of Siemens Healthineers,Siemens Healthineers' Mammomat B.brilliant mammography system has received 510(k) clearance by the U.S. Food and Drug Administration (FDA).
Mammomat B.brilliant is the first completely redesigned mammography platform in over a decade, the company said. The clearance includes elements that involve full-field digital mammography, 2D breast imaging, breast biopsy, and titanium contrast-enhanced mammography.
Additionally, Siemens recently f...
Source: AuntMinnie.com Headlines - April 4, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Source Type: news
Hormonal Birth Control Doesn ’ t Deserve Its Bad Reputation
Almost two-thirds of U.S. women of reproductive age use some kind of contraception, according to the latest federal data. And millions of them use methods that contain hormones, including birth control pills, intrauterine devices (IUDs), rings, implants, injections, and patches.
Although the specifics vary from method to method, hormonal birth control generally works by halting ovulation and/or changing conditions in the uterus or cervix to prevent pregnancy. And it works well: efficacy rates approach 100% when these methods are used correctly.
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But hormonal birth control ...
Source: TIME: Health - April 3, 2024 Category: Consumer Health News Authors: Jamie Ducharme Tags: Uncategorized Evergreen Explainer healthscienceclimate Source Type: news
SBI president previews annual symposium
Attendees have much to experience and take away from the Society of Breast Imaging (SBI) annual symposium, according to society president Mimi Newell, MD.
The symposium will be held April 11 to 14 in Montreal, Quebec, Canada, and will feature the latest research and insights from breast imaging experts and vendors.
“I think our attendees are going to learn a ton, but also have a lot of fun, which is important in this kind of situation,” Newell told AuntMinnie.com.
The annual meeting aims to strengthen knowledge and skills for breast imagers, including improving interpretative accuracy along imaging modalities, apply...
Source: AuntMinnie.com Headlines - April 2, 2024 Category: Radiology Authors: Amerigo Allegretto Tags: Womens Imaging Imaging Leaders 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
FDA Roundup: March 29, 2024
SILVER SPRING, Md., March 29, 2024 /PRNewswire/ -- Today, the U.S. Food and Drug Administration is providing an at-a-glance summary of news from around the agency: On Thursday, the FDA made several updates to the Mammography Quality Standards Act and Program section on the FDA Website to... (Source: PRWeb: Medical Pharmaceuticals)
Source: PRWeb: Medical Pharmaceuticals - March 29, 2024 Category: Pharmaceuticals 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
Safeguarding the future of radiology with imaging informatics
Conclusion
With medical imaging centers facing aggressive attacks by the minute, it’s imperative to embrace a mindset shift – starting from cultivating a cybersecurity awareness culture to implementing proactive defense strategies and hiring experts with unique skill sets to help radiologists and department leads safeguard against cyber adversaries. Thus, with a collective approach to cybersecurity that combines people, mindset, and technologies, healthcare can win the war against cyberattacks.
Dhaval Shah is an executive vice president and Shujah Das Gupta is vice president for medical technology at CitiusTech.
The...
Source: AuntMinnie.com Headlines - March 28, 2024 Category: Radiology Tags: Cybersecurity Source Type: news
Cryoablation effective in women with breast cancer
A minimally invasive procedure called cryoablation that uses ice to freeze and destroy tumors has proven effective for women with large breast cancer tumors, according to a study presented March 27 at the Society of Interventional Radiology (SIR) meeting in Salt Lake City.
The finding suggests the technique may provide a new treatment path for women who are not candidates for lumpectomy, or surgical removal, noted Yolanda Bryce, MD, an interventional radiologist at Memorial Sloan Kettering Cancer Center in New York City, and senior author of the study.
“Surgery is still the best option for tumor removal, but there are ...
Source: AuntMinnie.com Headlines - March 27, 2024 Category: Radiology Authors: Will Morton Tags: Interventional Breast Source Type: news
Large language models simplify radiology report impressions
Large language models (LLMs) can significantly simplify radiology report impressions, enhancing readability for patients, according to research published March 26 in Radiology.
In a study involving 750 radiology reports, a team of researchers from Yale University tested four different LLMs – including ChatGPT, Bard, and Bing -- and found that all four were able to significantly simplify report impressions. Model performance did differ, however, based on the wording of the prompt used.
“Our study highlights how radiology reports, which are complex medical documents that implement language and style above the college g...
Source: AuntMinnie.com Headlines - March 26, 2024 Category: Radiology Authors: Erik L. Ridley Tags: Artificial Intelligence Source Type: news
