AI flags rare humeral bone tumors on chest x-rays
An AI algorithm can help identify rare tumors on upper arm bones in patients undergoing chest x-rays – findings not typically identified in daily reading practice, according to an article published March 6 in Radiology: Artificial Intelligence. The algorithm improved the ability of radiologists to identify the tumors, which are located at the periphery of chest x-ray images, noted lead authors Harim Kim, MD, and Kyungsu Kim, PhD, of the Samsung Medical Center in Seoul, South Korea. “Radiologists showed improved performance with assistance of the AI program, particularly in terms of sensitivity and accuracy. We expect...
Source: AuntMinnie.com Headlines - March 13, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Artificial Intelligence Source Type: news

Social factors influence adherence to incidental lung nodule follow-up
Social factors influence whether patients who are found to have incidental lung nodules on chest CT imaging adhere to follow-up, according to research published March 8 in the Journal of the American College of Radiology. And using a deep-learning model that incorporates demographic, socioeconomic, and nodule-related factors could help predict whether patients will comply with follow-up recommendations, wrote a team led by Zhuoyang Wang of the University of Pennsylvania in Philadelphia. "Our study demonstrates that clinical context and socioeconomic factors can predict a patient’s incidental pulmonary nodule follow-up...
Source: AuntMinnie.com Headlines - March 11, 2024 Category: Radiology Authors: Kate Madden Yee Tags: Subspecialties CT Chest Radiology Source Type: news

Social factors affect adherence to incidental lung nodule follow-up
Social factors influence whether patients who are found to have incidental lung nodules on chest CT imaging adhere to follow-up, according to research published March 8 in the Journal of the American College of Radiology. And using a deep-learning model that incorporates demographic, socioeconomic, and nodule-related factors could help predict whether patients will comply with follow-up recommendations, wrote a team led by Zhuoyang Wang of the University of Pennsylvania in Philadelphia. "Our study demonstrates that clinical context and socioeconomic factors can predict a patient’s incidental pulmonary nodule follow-up...
Source: AuntMinnie.com Headlines - March 11, 2024 Category: Radiology Authors: Kate Madden Yee Tags: Subspecialties CT Chest Radiology Source Type: news

AI can aid radiologists in the fight against lung cancer
AI software can come to the aid of overwhelmed radiologists by aiding in the crucial tasks of detection, quantification, and future risk prediction of lung cancer on CT exams -- both in low-dose screening exams and in nonscreening chest CT exams. Radiologists inundated with lung nodule findings may find that AI can come to their aid in the crucial tasks of detection, quantification, and future risk prediction of lung cancer on CT exams -- both in low-dose screening exams and in nonscreening chest CT exams. Among common incidental findings in medical imaging, pulmonary nodules appear on about one-third of chest CT scans l...
Source: AuntMinnie.com Headlines - February 29, 2024 Category: Radiology Authors: Liz Carey Tags: Clinical News Artificial Intelligence Source Type: news

Radiologists and AI-powered health informatics: Leading the way in screening
Sham Sokka, chief operating and technology officer of DeepHealth, discusses why he is excited about this year’s ECR congress in Vienna. What are you most excited about for ECR this year? Vienna is such a beautiful city and I’m so excited to be here at The European Congress of Radiology (ECR 2024) again this year. At DeepHealth, this represents an exciting time – to showcase our pioneering offering, present new data, and meet and network with experts in the field of screening and radiology. I always relish the opportunity to talk to our customers from around the world. Everything we do at DeepHealth is about empow...
Source: AuntMinnie.com Headlines - February 29, 2024 Category: Radiology Authors: DeepHealth Tags: Artificial Intelligence Source Type: news

Lunit to present studies at ECR 2024
Lunit will highlight four oral presentations and three poster presentations at ECR 2024, ranging from adaptability in different use cases to the potential to act as an independent reader in mammography double-reading settings. Oral presentations featuring Lunit INSIGHT at ECR 2024 include the following: ul.editorialList li {margin-bottom:6px;} “The performance of a commercial artificial intelligence algorithm in an external quality assurance scheme regularly used by humans in the NHS breast screening programme” (ACV 2024 Research Stage 2, February 28, 3 p.m. to 4 p.m.) “The Multi- Sixteen Thousand and Counting:...
Source: AuntMinnie.com Headlines - February 28, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Source Type: news

InformAI secures $2.2M NIH grant
The National Institutes of Health (NIH) has awarded InformAI a $2.2 million grant to further the company's development of its CT-based TransplantAI software for organ donor-recipient pairing. InformAI plans to use the small business innovation research (SBIR) grant for continued research and development work that will include building predictive models for heart and lung transplant outcomes and creating a clinical decision support informatics platform to assist organ transplant surgeons in matching donor organs with patient recipients, according to InformAI. “There is an urgent need for improved and integrated predicti...
Source: AuntMinnie.com Headlines - February 19, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Cardiovascular Radiology Chest Radiology Source Type: news

Patient 'reborn' after priority lung transplant
Georgie Cooper says: "It was amazing to feel the air in my lungs after my transplant." (Source: BBC News | Health | UK Edition)
Source: BBC News | Health | UK Edition - February 2, 2024 Category: Consumer Health News Source Type: news

Viral protein fragments may unlock mystery behind serious COVID-19 outcomes
Key takeawaysThere remains no clear explanation for why COVID-19, caused by SARS-CoV-2, can result in severe outcomes or death while other coronaviruses just cause common colds, or why COVID-19 symptoms persist after the coronavirus that causes it has been eliminated.A UCLA-led research team has shown that fragments of the coronavirus may drive inflammation by mimicking the action of specific immune molecules in the body.The findings could contribute to not only the understanding and treatment of COVID-19 but also efforts to detect coronaviruses with the potential to cause pandemics before they become widespread.There are ...
Source: UCLA Newsroom: Health Sciences - January 31, 2024 Category: Universities & Medical Training Source Type: news

Deep learning could improve lung ultrasound interpretation
Deep learning could improve real-time lung ultrasound interpretation, according to a study published January 29 in Ultrasonics. Researchers led by Lewis Howell, PhD, from the University of Leeds in the U.K. found that a deep learning model trained on lung ultrasound allowed for segmentation and characterization of artifacts on images when tested on a phantom model. “Machine learning and deep learning present an exciting opportunity to assist in the interpretation of lung ultrasound and other pathologies imaged using ultrasound,” Howell and colleagues wrote. Lung ultrasound in recent years has been highlighted in res...
Source: AuntMinnie.com Headlines - January 30, 2024 Category: Radiology Authors: Amerigo Allegretto Tags: Subspecialties Artificial Intelligence Chest Radiology Source Type: news

Kontos tapped to lead integrated diagnostics at Columbia
Despina Kontos, PhD, professor of radiology and a computer scientist with expertise in multimodality imaging data, will lead the new Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID) at Columbia University in New York.Kontos' work has contributed to a transition in the interpretation of breast cancer images by showing that imaging data can be mined to extract sophisticated phenotypic signatures with independent diagnostic, prognostic, and predictive value, according to a Columbia University Irving Medical Center statement. CIMBID will be dedicated to developing and integrating quantitative ima...
Source: AuntMinnie.com Headlines - January 19, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Source Type: news

Reimbursement issues give impetus to AI adoption
Sanjay M. Parekh, PhD.The medical imaging AI market is forecast to reach almost $2 billion by 2027.1 It continues to evolve with sustained investment and a growing number of regulatory-cleared products. Nonetheless, adoption of AI solutions remains nascent and inconsistent. The market has yet to see widespread adoption of medical AI technologies, which requires widespread adoption for patient use (volumes), demand from referrers (awareness), and appropriate payment to providers (reimbursement). The application of deep learning and convoluted neural networks to AI-powered technology solutions for medical imaging enables t...
Source: AuntMinnie.com Headlines - January 15, 2024 Category: Radiology Authors: Sanjay M. Parekh, PhD Tags: Artificial Intelligence Source Type: news

Radiologists in Europe ramp up testing of AI
Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers, while two algorithms for predicting bone age fell short, in a study published January 9 in Radiology.The study validates the methodology of an initiative called Project AIR, which the researchers developed to standardize testing of AI radiology products cleared for use in Europe, noted lead author Kicky van Leeuwen, a doctoral candidate at Radboud University in Nijmegen, the Netherlands, and colleagues.“Clinical centers rarely have the necessary resources and personnel to evaluate and compare m...
Source: AuntMinnie.com Headlines - January 11, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Artificial Intelligence Source Type: news

Sir Roy Calne obituary
Pioneering British surgeon who carried out the world ’s first liver, heart and lung transplantIn the 1960s Roy Calne, professor of surgery at Cambridge University, was gripped by the emerging new science of transplantation to help those with kidney and liver failure.Calne, who has died aged 93, became Britain ’s premier transplant surgeon and researcher, achieving a number of firsts, including the first liver transplant in Europe in 1968, the world’s first liver, heart and lung transplant in 1986 (with John Wallwork) and the world’s first successful “organ cluster” transplant (stomach, intestin e, pancreas, liv...
Source: Guardian Unlimited Science - January 8, 2024 Category: Science Authors: Penny Warren Tags: Medical research Science Organ donation Doctors Health University of Cambridge Boston London NHS Source Type: news

AI-Driven Study Redefines Right Heart Health Assessment With Novel Predictive Model
In a milestone study, researchers from the Icahn School of Medicine at Mount Sinai have harnessed the power of artificial intelligence (AI) to enhance the assessment of the heart's right ventricle, which sends blood to the lungs. Conducted by a team using AI-enabled electrocardiogram... (Source: PRWeb: Medical Pharmaceuticals)
Source: PRWeb: Medical Pharmaceuticals - January 4, 2024 Category: Pharmaceuticals Tags: SVY Source Type: news