Thu.Nov 09, 2023

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What a New Review Reveals About Mammography-Based AI and Breast Cancer Risk Assessment

Diagnostic Imaging

Mammography-based artificial intelligence (AI) models demonstrated an 11 percent higher median AUC for predicting breast cancer than traditional clinical risk factors, according to a new systematic review of 16 retrospective studies.

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AI modeling detects, classifies breast microcalcifications

AuntMinnie

A novel AI tool can accurately detect and characterize macrocalcifications on mammography, an Italian study published November 7 in European Radiology Experimental found. Researchers led by Filippo Pesapane, MD, from IEO European Institute of Oncology IRCCS in Milan developed three neural networks from a mammogram dataset and found that all three achieved high area under the curve (AUC) values in detecting microcalcifications.

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FDA Clears AI-Powered Module for Detecting Hemispheric Subdural Hematomas on CT

Diagnostic Imaging

The Rapid SDH module on the RapidAI platform reportedly offers a sensitivity rate of 93 percent for detection of hemispheric subdural hematoma on non-contrast computed tomography (CT) scans.

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LDCT lung cancer screening significantly improves long-term survival rates, first-of-its-kind study reports

Radiology Business

When physicians find lung cancer at its earliest stage, survival rates climb to 95%, researchers wrote Tuesday in RSNA's Radiology.

IT 138
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Maximize Your Radiology Center’s Performance With Specialized Scheduling

Patient-centric scheduling can only be achieved through optimized radiology workflows, effective communications between staff and physicians, and, of course, through specialized schedulers. In this guide, we’ll take you through a step-by-step process to transform your radiology center into a high-performance hub of medical imaging.

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MRI most cost-effective way to evaluate ED patients with dizziness

AuntMinnie

MRI is the most cost-effective imaging modality for evaluating patients presenting to the emergency department with dizziness when downstream costs are considered, suggests research published November 8 in the American Journal of Radiology. The results could improve patient care by catching underlying strokes, wrote a team led by Long Tu, MD, PhD, of Yale School of Medicine in New Haven, CT.

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Road to RSNA 2023: Digital X-Ray

AuntMinnie

This year’s trip along the Road to RSNA for digital x-ray features mileposts mostly set by AI research. Models will be proposed for applications ranging from predicting bone density on chest x-rays to generating complete reports on anterior cruciate ligament (ACL) tears. Yet several presentations to be given at the meeting reminded us that issues concerning basic elements of x-ray technology remain highly important, as well as whether imaging access is equitable in the "real-world.

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Doug Chalker, BS R.T.(R)(CT): A Journey Through Radiologic Technology

CurveBeam AI

In the realm of radiologic technology, there are professionals who stand out not just for their skills but also for their unwavering commitment to their field. This National Radiologic Technology Week, CurveBeam AI recognizes Clinical Applications Specialist, Doug Chalker, whose career in diagnostic imaging spans over three decades and several hospitals.

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NIH highlights PET study in Parkinson’s disease

AuntMinnie

The U.S. National Institutes of Health (NIH) has highlighted a study that shows cardiac PET scans can help identify people at risk for Parkinson’s disease and Lewy body dementia. In a study of 34 people at risk for these diseases, NIH scientists used PET scans to show that individuals with low uptake of F-18 dopamine PET radiotracer in the heart were highly likely to develop Parkinson’s or Lewy body dementia (LBD) during long-term follow-up, compared to individuals with the same risk factors but

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AIRS Medical Inks Partnership Agreement with FONAR Corporation, Leveraging the Experience of the Pioneering Company in MRI

Imaging Technology

milla1cf Thu, 11/09/2023 - 12:10 November 9, 2023 — AIRS Medical , a leading AI -powered healthcare solution provider, recently announced a strategic partnership with FONAR , a pioneer company in the MRI industry, to accelerate and develop business in North America. AIRS Medical's product SwiftMR enhances the quality of MRI images through fine-tuned deep learning technology.

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RadNet inks new hospital joint venture partnership, with plans to add 10-plus imaging centers

Radiology Business

RadNet and Cedars-Sinai are launching a new brand called the Los Angeles Imaging Group, and three new centers are already slated to open in California's largest city.

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Multinational study confirms association between CT scans in young people and increased risk of cancer

Medical Xpress: Radiology

A multinational study of almost one million individuals confirms a strong and clear association between exposure to radiation from CT scans in young people and an increased risk of blood cancers. This is the main conclusion of the analyses led by the Barcelona Institute for Global Health (ISGlobal) in the EPI-CT study.

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CMS declines to issue imaging agent reimbursement fix in final hospital outpatient payment rule

Radiology Business

The agency received “considerable interest” in a comment solicitation on this topic, with respondents providing “various insights and potential policy changes.

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Breast Ultrasound Combined with MRI Distinguishes Between Benign and Cancerous Lesions More.

MedImaging MRI

A new study has highlighted the potential of combining ultrasound and MRI to improve the differentiation between benign and malignant breast nonmass-like lesions.

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Study may show how brains become addicted to drugs

Health Imaging

Scans provide new information on how administration routes of drugs have different effects on the brain.

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The American public understands that cutting Medicare harms everyone

Radiology Business

Radiology Business Management Association leaders contend that slashing Medicare reimbursement "ignores overwhelming public wisdom.

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Deep-learning model predicts bone density on chest x-rays

AuntMinnie

Monday, November 27 | 11:30 a.m.-11:40 a.m. | M4-SSMK03-4 | Room E450A A deep-learning AI model will be presented in this session that can predict bone mineral density T-scores from chest x-rays. Presenter Yoichi Sato, MD, of Tokyo Shinjuku Medical Center in Japan, and colleagues first developed the model using patient dual-energy x-ray absorptiometry (DEXA) T-scores (bone mineral density) and chest x-rays as input.

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Kaiser Permanente imaging technologists strike, seeking 42% pay increase

Radiology Business

Both sides held a bargaining session Monday, with Kaiser labeling the union’s request as “frankly, not reasonable.

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Enterprise imaging software takes aim at managing actionable incidental findings

Health Imaging

Softek Illuminate has unveiled Discovery360, a radiology workflow management meant for closing the loop on unexpected radiology results.

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Senate Finance Committee advances bill to mitigate radiologist pay cuts in Medicare

Radiology Business

"Instead of Congress making payment adjustments every year, it's time we address the underlying issues and make long-term reforms," Sen. John Thune said Wednesday.

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Brain imaging identifies biomarkers of mental illness

ScienceDaily

Research and treatment of psychiatric disorders are stymied by a lack of biomarkers -- objective biological or physiological markers that can help diagnose, track, predict, and treat diseases. In a new study, researchers use a very large dataset to identify predictive brain imaging-based biomarkers of mental illness in adolescents.

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Days after exiting bankruptcy, radiology provider Envision appoints interim CEO

Radiology Business

CFO Henry Howe will take over the role Dec. 1, with current CEO Jim Rechtin transitioning out of the organization by the end of the November.

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Radiation doses estimated in infants with congenital heart disease

AuntMinnie

Monday, November 27 | 3:10 p.m.-3:20 p.m. | M7-SSPH05-2 | Room N229 Findings will be presented in this Monday afternoon presentation on organ-specific ionizing radiation doses in neonatal patients who undergo interventional procedures for congenital heart disease (CHD). “[Ionizing radiation] exposure in early childhood may be associated with an increased risk of malignancy with neonates at especially higher risk due to their higher radiosensitivity and longer life expectancy than adults,” accord

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Big Data in Medical Imaging: Pioneering Enhanced Patient Care and Diagnostic Precision

Open Medscience

Big data in medical imaging enhances diagnostics, personalise treatments, and propels research through data analysis. The post Big Data in Medical Imaging: Pioneering Enhanced Patient Care and Diagnostic Precision appeared first on Open Medscience.

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Can AI improve turnaround times for fracture detection?

AuntMinnie

Tuesday, November 28 | 9:50 a.m.-10:00 a.m. | T3-SSER01-3 | Room E451A A tool that prioritizes x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study to be presented in this session. The study included 50,682 patients who underwent x-ray exams before (23,088 cases) and after (27,594 cases) use of an AI workflow algorithm designed to prioritize x-ray examinations if it detects fractures.

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RapidAI Receives FDA Clearance of AI Module for Detection of Hemispheric Subdural Hematomas

Imaging Technology

milla1cf Thu, 11/09/2023 - 12:04 November 9, 2023 — RapidAI , a global leader in developing artificial intelligence (AI) and technology workflow solutions to combat life-threatening neurovascular, trauma, cardiac and vascular conditions, announced it has received FDA clearance for Rapid SDH, its AI-powered module for the detection and notification of suspected hemispheric acute and chronic subdural hematoma.

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AI chatbot model generates complete reports on ACL tears

AuntMinnie

Thursday, November 30 | 9:10 a.m.-9:20 a.m. | R3-SSIN07-2 | Room N227B In this session, an AI chatbot called MedVisGPT will be introduced that can help diagnose anterior cruciate ligament (ACL) tears on knee x-rays and produce detailed medical reports in seconds based on conversations with users. Presenter Xingxin He, PhD, a postdoc research fellow at Massachusetts General Hospital in Boston, will discuss MedVisGPT (Medical Visual Generative Pre-Trained Transformer), a model based on data from 1

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Unveiling the Complex Etiology and Innovative Diagnostic Approaches in Alzheimer’s Disease

Open Medscience

Alzheimer's disease stems from genetic mutations and lifestyle factors, leading to brain plaque accumulation and dementia. The post Unveiling the Complex Etiology and Innovative Diagnostic Approaches in Alzheimer’s Disease appeared first on Open Medscience.

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Multinational study confirms association between CT scans in young people and increased risk of cancer

ScienceDaily

A multinational study of almost one million individuals confirms a strong and clear association between exposure to radiation from CT scans in young people and an increased risk of blood cancers.

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Fujifilm Healthcare providing image data management for Pentagon

Health Imaging

Fujifilm Healthcare can now offer its Synapse 7x service to all organizations within the DoD.

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New Emory Institute and AI Health Initiative to Focus on Improving Health Equity and Patient Outcomes

Imaging Technology

christine.book Thu, 11/09/2023 - 13:30 November 10, 2023 — Emory University has announced that it will be launching a new AI-focused initiative which it expects will unite the power of machine learning and big data, to transform the ways in which health care systems prevent, diagnose, treat and cure diseases on a global scale. An update published Nov. 7 by the online Emory News Center offered details on the program and its potential, which is summarized here.