Articles tagged with Clinical Imaging
Researchers developed a new multiview DNN structure to capture complex 3D anatomy and physiology from multiple imaging views, improving diagnostic accuracy for cardiovascular conditions. The approach demonstrated better performance than single-view DNNs and provided a viable alternative for other medical imaging modalities.
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
Recent advances in photonic nanomaterials and healthcare devices have led to the development of wearable and implantable medical devices. These devices utilize light for precise manipulation of cells and tissues, offering new possibilities for early disease detection, light-based therapies, and personalized precision medicine.
Severe COVID-19 and influenza infections can prime the lungs for cancer development, according to new research. Vaccination, however, largely prevents these changes, suggesting a reduced risk of lung cancer.
Researchers at the University of Queensland have made a breakthrough in understanding the cellular changes that occur in depression. They found that cells in people with depression produce more energy molecules when resting, but have a reduced ability to increase energy production under stress. This study offers a new potential approac...
Generative AI in medical imaging enables data synthesis, image enhancement, and modality translation to improve diagnosis and treatment outcomes. The review discusses challenges and future prospects, including convergence with large-scale foundation models and multimodal information for holistic understanding.
Artificial intelligence can complement human expertise to improve radiology workflows and patient care. The JACR Focus Issue on AI in Workflow Optimization explores the integration of AI technology to enhance efficiency and deliver better care.
A new AI-powered tool, Merlin, has been developed to assess 3D abdominal CT scans, identifying anatomical features and predicting disease onset years in advance. The tool surpassed traditional automated tools in tasks such as diagnosing diseases and predicting patient outcomes, with accuracy rates of up to 81%.
Researchers found that implanted cuff electrodes can trigger unintended nerve stimulation during MRI, causing discomfort or pain. The study recommends more refined guidelines and careful safety considerations to mitigate this risk.
Researchers have developed a non-invasive method to estimate blood oxygen levels in heart failure patients using standard cardiac MRI. This breakthrough could spare thousands from undergoing risky tube procedures, allowing for safer and more frequent monitoring.
A new study discovered two previously unidentified fat distribution types associated with extensive gray matter atrophy and accelerated brain aging in men and women. Individuals with 'pancreatic-predominant' and 'skinny fat' profiles showed increased risk of neurological diseases, cognitive decline, and brain health issues.
A new study from Nationwide Children's Hospital finds that similar to older children and adults, about one fourth of children under six years old who experience a concussion will develop prolonged symptoms. Younger children are more likely to sustain brain injuries due to their size differences and weaker muscles.
A new study suggests that gaps in the nation's stroke transfer system reduce survivors' chances of receiving critical treatment and increase disability. Patients with longer delays in hospital transfer experienced worse disability after their stroke, highlighting missed opportunities for many stroke patients.
A statewide partnership in Michigan led to a significant increase in patients receiving follow-up imaging after aortic aneurysm repair. This resulted in a reduced likelihood of dying within one year of surgery and improved detection of early problems that can lead to device failure or future complications.
Steatotic liver disease can be precisely assessed using three-dimensional ultrafast vascular ultrasound. The technology visualizes subtle microvascular changes, enabling real-time monitoring of disease progression and therapeutic response.
ACCESS-AD aims to address Alzheimer's disease challenges with a coordinated framework for diagnosis, treatment and monitoring. The project combines advanced neuroimaging with digital biomarkers to support early patient identification and personalized treatment pathways.
A new clinical trial, PAGODA, seeks to minimize treatment interruptions and help patients complete their chemotherapy as planned. The trial will test a structured plan to guide doctors in making small, proactive changes to chemotherapy doses to prevent treatment delays.
Researchers developed CardioKG, an AI-driven tool that integrates imaging data with biological databases to predict gene-disease associations and identify new drug opportunities for heart conditions. The study identified potential treatments for atrial fibrillation and heart failure using existing drugs like methotrexate and gliptins.
The new framework addresses inefficiencies in current PET system accreditation methods, introducing a contrast recovery coefficient-based system for reproducibility and reliability. Universal adoption will provide advantages for stakeholders, enabling trusted data comparison across the globe.
A new study published in Frontiers in Human Neuroscience reveals that a visual training program called Perceptual Attention Therapy (PATH) produces rapid improvements in reading, attention, memory, and executive function after concussion. PATH addresses underlying visual timing deficits before strengthening specific cognitive skills.
A prospective multicenter trial validated an improved method for predicting treatment benefits in hormone receptor-positive metastatic breast cancer with bone metastases. Metabolic change assessed by FDG-PET/CT accurately predicted progression-free survival as early as 12 weeks after treatment initiation.
The program provides financial aid and unique clinical experiences to medical students, encouraging them to become community physicians. UCF College of Medicine hopes the program can be used as a national model to address the nation's primary care physician shortage.
A new study found that high levels of psychosocial stress in women are associated with early signs of heart tissue changes, whereas male participants showed no such correlation. The research suggests sex-specific differences in how stress affects cardiovascular health.
A new study led by Concordia researchers found that individuals with coronary artery disease (CAD) have widespread structural changes in their white matter compared to healthy controls. The changes were particularly noticeable in regions critical for cognitive and motor functions.
A study at Technical University of Munich found that AI-simplified CT reports reduced reading time to two minutes and improved patient comprehension. Patients rated the simplified texts as more helpful and informative, with 82% finding them easier to read and understand.
A new report from Northwestern University offers six practical strategies to improve the doctor-patient bedside encounter in an era dominated by AI. By employing these strategies, clinicians can strengthen patient-physician relationships, combat inequities, and reduce burnout, ultimately leading to better patient outcomes.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
Researchers developed an AI tool to detect bone loss using CT scans originally taken for other purposes, revealing trends in bone loss across a diverse patient population. The study found that young women had higher bone density than men of the same age, with steeper declines among postmenopausal women.
Researchers analyzed carotid plaque samples from 75 Chinese and 111 US patients, revealing distinct differences in plaque morphology, size, and composition. The study highlights the importance of understanding population-specific variations to develop personalized treatment approaches for cerebrovascular events.
Researchers discovered that cardiac fibroblasts use a signaling pathway to promote harmful changes in the heart, weakening its ability to pump blood efficiently. Blocking this pathway in mice models improved heart function, suggesting that fibroblasts could be a potential target for new therapeutic strategies.
A new Alliance trial is exploring the effectiveness of a combination of targeted therapy and immunotherapy for patients with advanced adrenocortical carcinoma, a rare and aggressive cancer. The study aims to improve disease control and quality of life for patients with limited treatment options.
Rebecca Richards-Kortum has been elected to the National Academy of Medicine for her major contributions to global health. She created low-cost, lifesaving technologies for underserved communities, transforming health systems worldwide through her innovations in cervical cancer diagnostics and neonatal care technologies.
The new Molecular Imaging and Theranostics Centre at NUH and NUS Medicine enables faster, safer and more precise diagnoses, while researchers can observe real-time tracer movement throughout the body. This opens possibilities for validating next-generation diagnostics and therapies, advancing theranostics.
MetaSeg achieves the same segmentation performance as U-Nets but requires 90% fewer parameters, making medical image segmentation more cost-effective. The new approach leverages implicit neural representations to quickly adjust to new images and decode accurate labels.
A new study has uncovered 42 genetic locations associated with hypertrophy of the left ventricle, a major risk factor for sudden death. The research, conducted using three-dimensional MRI images and genome-wide analysis, could lead to earlier identification of individuals at greater risk.
Researchers at the University of Arizona are developing a new optical technology that can image deep into biological tissues without invasive procedures. This approach aims to overcome current challenges in skin cancer imaging, allowing for earlier detection, precise evaluation, and real-time monitoring of treatment response.
A new clinical guideline has been issued for 18F-flurpiridaz PET myocardial perfusion imaging, providing recommendations for patient selection, imaging protocols, and interpretation of results. The guideline aims to enhance diagnostic accuracy and optimize resource utilization for the evaluation of coronary artery disease.
A UK study found that implementing AI in NHS hospitals is challenging due to governance, contracts, data collection, and staff training issues. The research highlights the importance of national programme leadership, dedicated project management, and education on AI implementation.
The International Osteoporosis Foundation identifies critical global barriers to osteoporosis care, including limited DXA scanning and outdated treatment criteria. The IOF advocates for a paradigm shift in bone health management worldwide, recognizing high fracture risk as a valid criterion for treatment and reimbursement.
A global study surveyed 14,000 patients across 43 countries, finding that those in poorer health were more likely to reject AI. Patients preferred explainable AI and wanted clinicians to make final decisions.
Scientists at Saarland University have developed a pioneering robot-assisted procedure for joint replacement surgery, eliminating the need for bone pins and external infrared cameras. The new approach uses the robot's built-in sensors to precisely scan the surgical field and create an accurate 3D model.
A new diagnostic method confirms sepsis infections in as little as two hours, cutting critical time for treatment. The technique uses centrifugation and artificial intelligence to detect bacteria in blood samples, enabling prompt antibiotic treatment and reducing survival rates by 8% per hour of delayed treatment.
Researchers identified a distinctive CT imaging pattern called PRACE that predicts severe postpartum hemorrhage cases requiring emergency procedures. The finding was strongly associated with the need for uterine artery embolization and improved maternal outcomes.
A recent study by researchers at the University of Missouri has made a groundbreaking discovery using patient's own cartilage cells to aid in healing after hip surgery. The research team successfully cultured and expanded cartilage cells, or chondrocytes, in the lab, paving the way for future clinical applications.
A new diagnostic schema for COPD improves patient identification by incorporating CT lung imaging and respiratory symptoms. This approach identified additional individuals at risk of poor respiratory outcomes and excluded those with airflow obstruction without respiratory symptoms.
Silvia Blemker, a renowned biomedical engineer, has been elected to lead the American Society of Biomechanics. She aims to bolster industry ties, expand funding for students and early-career researchers, and promote interdisciplinary collaboration.
A new AI tool can learn to read medical images with far less data, cutting down the amount of required data by up to 20 times. The tool improves upon medical image segmentation, a labor-intensive task often performed by experts, and boosts model performance in settings with limited annotated data.
The 250,000-square-foot facility provides greater availability to high-quality integrated care, addressing the region's increasing demand for innovative diagnostic and treatment services. The pavilion brings together a broad range of nationally ranked clinical programs, including cancer clinics, neurology, and surgery.
Researchers have developed a noninvasive method for visualizing stents through skin using photoacoustic microscopy, potentially reducing the need for surgical access and X-ray exposure. The technique uses sound waves generated by light absorption to create high-resolution images of stents in various conditions.
Researchers at the University of Illinois found that benign and cancerous breast calcifications have unique structures and formation processes. The study provides a new classification scheme and opens the possibility of treating benign calcifications using certain drugs.
Researchers successfully treated a patient with a rare IDH2-mutant brainstem astrocytoma using temozolomide and radiation, resulting in significant tumor shrinkage and improved hearing. The patient's unique genetic profile was identified through magnetic resonance spectroscopy and surgical biopsy, allowing for targeted treatment.
Researchers have developed a groundbreaking technique that maps temperature in three dimensions within biological tissue using invisible light and artificial intelligence. This new technology has the potential to improve early disease detection and treatment monitoring without the need for costly or invasive imaging technologies.
A newly developed low-cost, handheld intraoral device combines optical diagnostics and image-guided photodynamic therapy to detect and treat early-stage oral cancer. The device shows promising accuracy and effectiveness in detecting PpIX fluorescence and monitoring treatment in real-time.
Researchers at the University of Illinois Urbana-Champaign have developed a new non-invasive MRI approach that visualizes brain metabolism and detects metabolic alterations associated with brain diseases. The technique uses magnetic resonance spectroscopic imaging to provide insights into brain function and disease processes.
The American College of Chest Physicians launches a new initiative to aid in reducing time to diagnosis for complex lung conditions like NTM disease and bronchiectasis. The Bridging Specialties program aims to provide clinicians with essential tools for earlier detection, accurate diagnosis, and effective management.
Researchers at the University of Missouri have developed a new imaging probe that can help surgeons accurately identify and remove aggressive brain tumors during operations. The tool, known as FA-ICG, uses near-infrared light to highlight tumor cells from within.
A new study reveals six 'closed loop' barriers that prevent doctors from using point-of-care ultrasound, leading to missed opportunities for life-saving interventions. The researchers propose practical steps to address these cultural and practical challenges, aiming to increase POCUS uptake and benefit patients.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers at Colorado State University have demonstrated the reversal of embolism in a type of wild grass, which can recover from extended drought within 24 hours. This finding has significant implications for improving agricultural productivity and food security, as it could potentially be bred into crops to make them more resilient...
A novel screening approach called VEST uses virtual echocardiography to identify patients at high risk of pulmonary arterial hypertension, a life-threatening form of heart failure. The tool has been shown to generate accurate PAH risk scores without manual calculations and can guide timely referrals for expert care.