Latest news with #Radiology
Yahoo
18 hours ago
- Health
- Yahoo
RSNA: AI Tool Accurately Detects Tumor Location on Breast MRI
An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA). OAK BROOK, Ill., July 15, 2025 /PRNewswire-PRWeb/ -- An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA). "AI-assisted MRI could potentially detect cancers that humans wouldn't find otherwise," said the study's lead investigator Felipe Oviedo, Ph.D., a senior research analyst at Microsoft's AI for Good Lab. Screening mammography is considered the standard of care in breast cancer screening. However, mammography is less effective in patients with dense breasts. Breast density is an independent risk factor for breast cancer and can mask a tumor. Physicians may order breast MRI to supplement screening mammography for women who have dense breasts and those at high risk for cancer. "MRI is more sensitive than mammography," Dr. Oviedo said. "But it's also more expensive and has a higher false-positive rate." To enhance the accuracy and efficiency of screening breast MRI, Dr. Oviedo's research team closely collaborated with clinical investigators in the Department of Radiology at the University of Washington to develop an explainable AI anomaly detection model. Anomaly detection models distinguish between normal and abnormal data, flagging the anomalies, or abnormalities, for further investigation. "Previously developed models were trained on data of which 50% were cancer cases and 50% were normal cases, which is a very unrealistic distribution," Dr. Oviedo said. "Those models haven't been rigorously evaluated in low-prevalence cancer or screening populations (where 2% of all cases or less are cancer), and they also lack interpretability, both of which are essential for clinical adoption." To address these limitations, the researchers trained their model using data from nearly 10,000 consecutive contrast-enhanced breast MRI exams performed at the University of Washington between 2005 and 2022. Patients were predominately white (greater than 80%), and 42.9% had heterogeneously dense breasts, while 11.6% had extremely dense breasts. "Unlike traditional binary classification models, our anomaly detection model learned a robust representation of benign cases to better identify abnormal malignancies, even if they are underrepresented in the training data," Dr. Oviedo said. "Since malignancies can occur in multiple ways and are scarce in similar datasets, the type of anomaly detection model proposed in the study is a promising solution." In addition to providing an estimated anomaly score, the detection model produces a spatially resolved heatmap for an MR image. This heatmap highlights in color the regions in the image that the model believes to be abnormal. The abnormal regions identified by the model matched areas of biopsy-proven malignancy annotated by a radiologist, largely surpassing the performance of benchmark models. The model was tested on internal and external datasets. The internal dataset consisted of MRI exams performed on 171 women (mean age 48.8) for screening (71.9%; 31 cancers confirmed on subsequent biopsy) or pre-operative evaluation for a known cancer (28.1%; 50 cancers confirmed by biopsy). The external, publicly available, multicenter dataset included pre-treatment breast MRI exams of 221 women with invasive breast cancer. The anomaly detection model accurately depicted tumor location and outperformed benchmark models in grouped cross-validation, internal and external test datasets, and in both balanced (high prevalence of cancer) and imbalanced (low cancer prevalence) detection tasks. If integrated into radiology workflows, Dr. Oviedo said the anomaly detection model could potentially exclude normal scans for triage purposes and improve reading efficiency. "Our model provides an understandable, pixel-level explanation of what's abnormal in a breast," he said. "These anomaly heatmaps could highlight areas of potential concern, allowing radiologists to focus on those exams that are more likely to be cancer." Before clinical application, he said the model needs to be evaluated in larger datasets and prospective studies to assess its potential for enhancing radiologists' workflow. ### "Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection." Collaborating with Dr. Oviedo were Anum S. Kazerouni, Ph.D., Philipp Liznerski, Ph.D., Yixi Xu, Ph.D., Michael Hirano, M.S., Robert A. Vandermeulen, Ph.D., Marius Kloft, Ph.D., Elyse Blum, M.D., Ph.D., Adam M. Alessio, Ph.D., Christopher I. Li, M.D., Ph.D., William B. Weeks, M.D., Ph.D., M.B.A., Rahul Dodhia, Ph.D., Juan M. Lavista Ferres, Ph.D., Habib Rahbar, M.D., and Savannah C. Partridge, Ph.D. Radiology is edited by Linda Moy, M.D., New York University, New York, N.Y., and owned and published by the Radiological Society of North America, Inc. ( RSNA is an association of radiologists, radiation oncologists, medical physicists and related scientists promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Illinois. ( For patient-friendly information on breast MRI, visit Media Contact Linda Brooks, Radiological Society of North America (RSNA), 630-590-7762, lbrooks@ View original content: SOURCE Radiological Society of North America (RSNA) Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
03-07-2025
- Health
- Yahoo
AI just detected tiny brain tumors often missed by MRIs
If you purchase an independently reviewed product or service through a link on our website, BGR may receive an affiliate commission. AI can now detect tiny brain tumors often missed by MRI scans. This breakthrough research, which was conducted by the Netherlands Cancer Institute and Robovision Healthcare, showcases that AI continues to be a game-changer when it comes to pushing medical innovation to new levels. One reason this breakthrough is so notable is because brain metastases are by far the most common type of tumors found in the central nervous system. They can affect up to 17% of adult cancer patients, according to Robovision's statement on the accomplishment. Despite being so common, early detection of these tumors is often difficult, as they grow fast and can be smaller than 3mm in most cases. This makes them hard to spot in the various MRI slides that are taken during a single scan, especially in high volume cases. Today's Top Deals XGIMI Prime Day deals feature the new MoGo 4 and up to 42% off smart projectors Best deals: Tech, laptops, TVs, and more sales Best Ring Video Doorbell deals However, that could all change very soon. According to a new study published in the journal Radiology, researchers testing the new AI from Robovision Healthcare, were able to achieve a 97.4% lesion-level sensitivity. The results vary from there, though, depending on the size of the lesions present. In lesions that were 12mm or greater, the AI detected 100% of the brain scans with lesions present. Lesions 6-12mm in size were detected accurately 98% of the time, while those between 3-6mm were detected 97.9% of the time. Finally, for lesions smaller than 3mm, the AI was able to accurately detect them in 93% of the brain scans put through the test. This accomplishment is certainly encouraging, especially when tied together with other recent advances in medical AI. Previously, scientists managed to create an AI to detect signs of Alzheimer's development just by listening to voice recordings. Other research has proven that AI can detect certain kinds of cancer 99% of the time, too. The goal of these advancements isn't to replace doctors outright. Instead, it's meant to improve how we detect these deadly diseases, so we can start combating them earlier. Combining human power with the power of AI can help us process important information more quickly and efficiently. But it does require having the right components in place. Robovision says that its AI is only as capable as it is because of how it was trained. It's all about having the right ingredients and developers in place to bring the AI tools to life. This helps avoid false detections and other issues like hallucinating. Of course, it's unlikely AI will ever be infallible. But with humans also helping along the way, it doesn't need to be. It just needs to speed up how we detect cancer—which it is doing—by finding the patients most likely to need a deeper look. More Top Deals Memorial Day security camera deals: Reolink's unbeatable sale has prices from $29.98 See the
Borneo Post
30-06-2025
- Health
- Borneo Post
Kota Marudu Hospital equipped with CT scanner
James gives his thumbs up to the MDCT machine at the Kota Marudu Hospital. KOTA MARUDU (June 30): The Kota Marudu Hospital is now equipped with a Multidetector Computed Tomography (MDCT) scanner, enhancing diagnostic capabilities at its radiology unit. Community Development and People's Wellbeing Minister Datuk James Ratib said the new equipment will benefit the combined population of Kota Marudu, Pitas and Kudat, totalling 192,598 residents. 'Previously, around 1,500 to 1,800 patients annually had to be referred to specialist hospitals in Kota Kinabalu for CT scans. Now, this essential service is available locally, reducing travel time and cost while enabling quicker diagnosis and treatment,' he said. James described the MDCT scanner as a significant addition to the hospital's capacity to deliver quality medical care. 'Based on the annual workload, this number is expected to grow. Having the MDCT scanner will not only accelerate diagnoses but also improve accuracy, allowing patients to receive more timely and precise treatment,' he added. He also officiated the launch of the newly completed Radiology Department building at the hospital. The upgraded facility offers a more modern environment, benefiting both healthcare personnel and patients. 'Such infrastructure improvements reflect the government's commitment to ensuring access to quality healthcare for all, regardless of geography or background,' James said. He highlighted the investment in advanced medical technology like the MDCT scanner as a step towards a more sustainable and responsive healthcare system. In line with the Sabah Maju Jaya (SMJ) Health Assistance Scheme – Sabah Sejahtera, he also announced that 100 haemodialysis machines have been contributed by the Sabah State Government to the Ministry of Health Malaysia (MOH) for distribution across the state. During the event, James handed over eight haemodialysis machines to cluster hospitals in the northern region: Kota Marudu Hospital (two units), Kudat Hospital (four units) and Pitas Hospital (two units). 'This contribution not only expands the treatment capacity of our healthcare facilities but also brings renewed hope to kidney patients who require regular haemodialysis. We hope it will help shorten the waiting list and provide more efficient and comfortable treatment,' he said. James stressed that the initiative forms part of broader efforts under the Sabah Maju Jaya development plan to enhance the wellbeing of Sabahans through improved healthcare services. 'We understand that haemodialysis treatment is costly and can be a heavy financial burden, especially for rural families. With this contribution, we aim to ease that burden and improve patients' quality of life,' he said.
Yahoo
25-06-2025
- Business
- Yahoo
Asia Pacific Radiology Information System Industry Analysis Report 2025-2032
The Asia Pacific Radiology Information System Market is set to grow at a 10.3% CAGR from 2025 to 2032. China leads the market with a $137.8 million value by 2032, followed by Japan and India. Key trends include integrating RIS with EHRs and PACS, enhancing patient engagement through online portals, and leveraging analytics for improved efficiency. Nations like China, Japan, and India drive demand due to demographic shifts, digital health investments, and chronic disease prevalence. Key players include GE HealthCare, Philips, Siemens, and Oracle. The market spans integrated and standalone RIS across web-based, on-premise, and cloud deployments. Dublin, June 25, 2025 (GLOBE NEWSWIRE) -- The "Asia Pacific Radiology Information System Market Size, Share & Industry Analysis Report By Product (Integrated RIS and Standalone RIS), By Deployment (Web-based, On-premise, and Cloud-based), By End Use, By Country and Growth Forecast, 2025-2032" report has been added to Asia Pacific Radiology Information System Market is expected to witness market growth of 10.3% CAGR during the forecast period (2025-2032). The China market dominated the Asia Pacific Radiology Information Systems Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $137.8 million by 2032. The Japan market is registering a CAGR of 9.7% during 2025-2032. Additionally, the India market is expected to showcase a CAGR of 11% during trends shaping the market reflect the broader evolution of healthcare technology, focusing on integration, automation, and patient-centric solutions. One of the most significant trends is the integration of RIS with other healthcare IT systems, such as EHR and PACS, to create a unified platform for managing patient data and imaging workflows. This interoperability enhances diagnostic accuracy and care coordination by providing healthcare providers a comprehensive view of patient there is a growing emphasis on patient-centric features, such as online portals for scheduling appointments and accessing results, which enhance patient engagement and satisfaction. Incorporating advanced analytics and predictive modeling is another trend, enabling healthcare providers to forecast imaging needs, optimize resource allocation, and improve operational efficiency. These trends highlight the dynamic nature of the market, as it adapts to the changing needs of healthcare providers and patients in an increasingly digital market is witnessing substantial global growth, driven by demographic shifts, expanding healthcare investments, and the rapid adoption of digital health technologies. RIS is crucial in managing radiological workflows, enabling healthcare providers to streamline imaging data, improve diagnostic accuracy, and enhance patient care. Countries like India, Japan, and China are experiencing healthcare transformations that significantly boost the demand for RIS, owing to rising expenditures, aging populations, and the increased prevalence of chronic conditions requiring imaging services. Competition Analysis Cardinal Matrix Recent Industry Wide Strategic Developments Partnerships, Collaborations and Agreements Product Launches and Product Expansions Acquisition and Mergers Market Share Analysis, 2024 Top Winning Strategies Key Leading Strategies: Percentage Distribution (2021-2025) Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Sep - 2025, Apr) Leading Players Porter Five Forces Analysis Key Companies Profiled GE HealthCare Technologies, Inc. Koninklijke Philips N.V. Siemens Healthineers AG (Siemens AG) Carestream Health, Inc. (Onex Corporation) NEXTGEN HEALTHCARE, INC. Oracle Corporation IBM Corporation Epic Systems Corporation General Electric Company McKesson Corporation Market Report Segmentation By Product Integrated RIS Standalone RIS By Deployment Web-based On-premise Cloud-based By End Use Hospitals & Clinics Outpatient Department (OPD) Clinics Other End Use By Country China Japan India South Korea Australia Malaysia Rest of Asia Pacific For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Sign in to access your portfolio
Yahoo
24-06-2025
- Health
- Yahoo
Herself Health Launches Women Growing Bolder Health Alliance to Strengthen Care for Women
Community-Driven Provider Network Improves Healthcare Access, Coordination, and Continuity MINNEAPOLIS, June 24, 2025--(BUSINESS WIRE)--Herself Health, the leading healthcare company providing comprehensive primary care to women, has launched the Women Growing Bolder Health Alliance, a curated preferred provider network built to improve access to high-quality care for women. The alliance aims to simplify the care journey for women, connecting them to trusted providers across multiple disciplines while maintaining continuity, coordination, and a shared sense of purpose. The alliance brings together independent, culturally aligned practices that collaborate to deliver care as one unified team. "Our goal is to create a seamless experience for women by collaborating with top providers who work hand-in-hand with our teams to align care plans, close gaps, and provide support that evolves with women's lives and needs," said Deb Dittberner, M.D., chief clinical officer and head of population health at Herself Health. "We designed this alliance to meet those needs, while staying rooted in our value-based care model. By teaming up with local partners who know our communities and share our passion for improving women's health, we're building a smarter system that puts patients at the center." Launched in May, the alliance began with a focus on the Twin Cities and includes inaugural partners such as Summit Orthopedics, RAYUS Radiology, MNGI Digestive Health, and Premier Women's Health of Minnesota. These organizations were selected for their clinical excellence, patient-centered approach, and shared commitment to advancing women's health. "For many of our patients, what matters most is feeling seen, heard, and supported throughout their care journey. Too often, care can feel fragmented or impersonal – especially for women navigating complex health needs later in life," said Tammy Chiesa, M.D., internal medicine physician at Summit Orthopedics. "Being part of a shared care model allows us to offer our clinical expertise, and the continuity, transparency, and warmth that every patient deserves. That's how we improve outcomes and the overall experience of care." Alliance members are also actively engaging across each other's organizations to support clinician education and strengthen team knowledge on conditions affecting women at greater rates such as arthritis, Alzheimer's, osteoporosis and more. As part of this shared learning approach, RAYUS Radiology recently led a session on breast cancer screening. The alliance is also exploring co-location "pop-ups" and other opportunities to bring services directly into the communities where patients already receive care. "This partnership provides easier access to screening and diagnostic breast imaging services for older women," said Dr. Trisha R. Prescott, a board-certified radiologist and breast imaging specialist at RAYUS Radiology. "Early detection is critical. It saves lives by identifying cancer before it spreads, allowing for more effective and less invasive treatment options. Through this collaboration, RAYUS delivers a streamlined and comprehensive approach to breast evaluation and diagnosis." The Women Growing Bolder Health Alliance is only just getting started with plans already underway to expand into additional practices such as cardiology and oncology, ensuring broader coverage across high-priority care areas. As new partners come on board and collaboration deepens, the alliance will continue to evolve – building a future where women receive connected, compassionate, and cutting-edge care, close to home and tailored to their lives. About Herself Health Herself Health is a value-based healthcare company redefining primary care for women aged 60+ with a holistic approach that deeply understands and caters to the unique needs of women. The company goes beyond traditional primary care and assesses the entire health and wellness profile of its patients, including mental, sexual and spiritual health, social wellness, quality of life, and understanding what's important to her. Herself Health ensures impactful, focused care that enhances health outcomes and manages the overall cost of care. With clinics strategically positioned in the Twin Cities and plans for expansion, Herself Health is committed to providing the specialized care that women truly deserve. Learn more at View source version on Contacts MEDIA CONTACT:Herself HealthPress@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
