Articles tagged with Medical Imaging
A deep learning system developed by Incheon National University integrates images and clinical details to improve early skin cancer diagnosis. The model achieved 94.5% accuracy, outperforming popular image-only models.
Researchers have made significant advancements in detecting and treating prostate cancer and ALS using innovative imaging techniques. A new PET tracer has been developed to track Huntington disease protein aggregates, offering a potential noninvasive monitoring tool. Additionally, studies have compared two types of PET scans for spotti...
The new statistical method adapts to data structure, resisting outliers and providing greater stability on non-Euclidean spaces. This improves the reliability of analysis in areas like medical imaging, computer vision, and machine learning.
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.
A new study found that routine coronary artery calcium CT scans can uncover other medical issues in patients, with 247 cases identified out of 2,284 patients who received the scan. These findings included lung abnormalities and issues with almost every organ tested.
Researchers developed a detailed kidney model to study radiation distribution, highlighting uneven exposure across different nephron types. Tumor volume changes and PSMA PET imaging also showed promise for predicting outcomes in prostate cancer patients. New targeted therapies and imaging strategies aim to improve diagnosis and treatment.
Scientists at the University of Birmingham have developed a new class of MRI contrast agents that are significantly more efficient and stable than current clinical agents. The novel metallo-coiled coil approach demonstrates a 30% increase in MRI relativity and unprecedented enhancement in chemical and biological stability.
The Politecnico di Milano has created an online application to select the most effective AI models for creating 3D images of individual organs or lesions. This tool makes treatment more accurate and reliable, saving professionals time and effort.
A new study may transform the diagnosis of Britain's number one cancer, lung cancer. Researchers are investigating whether low-dose CT scans can detect lung cancers earlier than current chest X-rays. The study aims to identify which patients would benefit from these more accurate scans.
Researchers have developed a new PET imaging agent that can distinguish true tumor response from inflammation during immune checkpoint inhibitor therapy. This breakthrough has the potential to improve early treatment assessment and patient outcomes.
A new approach to PET imaging can identify patients at risk of poor functional recovery after a heart attack by visualizing CXCR4, a cellular protein involved in inflammation. This technique enables timely implementation of treatments to mitigate inflammation and prevent heart failure progression.
Researchers are building an AI-powered database of MRI and CT images to track disease progression and measure patient response to treatments. The database will provide a standardized toolkit for extracting precise imaging biomarkers, enhancing the accuracy of organ measurements and improving treatment choices.
Post-traumatic vasospasm (PTV) is a sudden narrowing of brain arteries that can lead to stroke and long-term neurological damage. Early diagnosis using tools like transcranial Doppler ultrasound and S100 protein blood tests is crucial to prevent secondary brain injury.
Recent studies published in The Journal of Nuclear Medicine explore the use of artificial intelligence to improve PSMA PET/CT scan interpretation, as well as its impact on treatment decisions for patients with recurrent prostate cancer. Brain metabolic changes and fibroblast activation protein (FAP) PET imaging also reveal new insights...
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.
Researchers developed a high-speed whole-body SPECT method to track tumor evolution and personalize prostate cancer treatment. The new approach enabled faster monitoring, allowing for earlier adjustments to treatment plans and improved patient outcomes.
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.
Studies have found that men with advanced prostate cancer can benefit from continuing PSMA therapy despite early PSA rise, while a new PET/CT scan may improve surgery decisions in pancreatic cancer. Molecular imaging advancements also hold promise for distinguishing aggressive kidney cancers and guiding treatment decisions.
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.
Recent studies published in The Journal of Nuclear Medicine have made significant breakthroughs in prostate cancer treatment, with multiple therapies showing promise. Researchers have also discovered ways to reduce radiation exposure in PET scans and tracked the effects of alpha therapy on patients.
MIT researchers develop a new type of fluorescent molecule that can emit and absorb light in the red to near-infrared range, potentially enabling clearer images of tumors. The stabilized borenium ions have high quantum yields, making them suitable for biomedical imaging applications.
Researchers have developed promising therapies for advanced prostate cancer, improved brain imaging capabilities, and enhanced liver cancer detection. A new alpha therapy shows promise in treating thyroid cancer, while AI-assisted tracking systems enhance prognosis prediction in prostate cancer imaging.
A large-scale randomized trial will examine whether AI supports radiologists in interpreting mammograms more accurately, reducing unnecessary callbacks and anxiety. The PRISM Trial, led by UCLA, aims to inform future policy decisions and best practices in breast cancer screening.
A new PET tracer, 64Cu-NOTA-EV-F(ab′2), has been developed for same-day imaging of triple-negative breast and urothelial bladder cancers. The tracer exhibits rapid tumor accumulation and high specificity in nectin-4 positive tumors, enabling accurate non-invasive visualization of this protein.
Faster PET scans show promise for detecting liver inflammation and metabolic dysfunction-associated steatohepatitis. An AI tool combines multiple PET scans to integrate data from different tracers, improving disease insights. New imaging techniques enhance breast cancer surgery and predict recovery after heart attack.
A new algorithm developed by Núria Malats and her team can accurately predict the presence of metastasis in pancreatic cancer using medical images. The PMPD algorithm has shown promising results, classifying 56% of metastases with high accuracy and potentially avoiding unnecessary surgeries.
A study published in The New England Journal of Medicine found that nearly 4 million children and adolescents were at higher risk of developing blood cancers due to radiation exposure from medical imaging. The researchers estimated that up to 10% of pediatric blood and bone marrow cancers may be attributable to radiation exposure.
The PANORAMA microscope overcomes challenges of traditional microscopes by capturing submicron details across an area roughly the size of a U.S. dime without moving the sample. It produces gigapixel-scale images with high resolution, ideal for medical pathology and industrial inspection.
A large meta-study of over 12,000 participants reveals that APOE ε4 genotype, female gender and advanced age are significant risk factors for Alzheimer’s disease. The study confirms previous research and provides highly reliable prevalence estimates.
Researchers developed new methods to accurately target the centromedian nucleus for deep brain stimulation in patients with drug-resistant epilepsy. Advanced imaging techniques, such as high-resolution MRI and DTI tractography, improve targeting accuracy by identifying specific brain pathways and neural firing patterns.
New PET imaging agents show promise for detecting thyroid and neuroendocrine tumors, as well as reversing fibrosis in the heart. Researchers also explored tau PET scans for Alzheimer's detection and SSTR PET/CT for meningioma diagnosis. These advancements hold potential for improving cancer treatment and patient outcomes.
Researchers developed a new PET tracer that effectively identifies synapse loss in the spinal cord and brain after spinal cord injury. The study found reduced uptake of the tracer at the injury site and in the amygdala and cerebellum, suggesting potential for diagnosing and monitoring spinal cord injuries.
A quicker and cheaper two-part MRI scan is just as effective as the current 30-40 minute scan in detecting prostate cancer. The PRIME trial confirms that this streamlined approach can diagnose cancer at the same rate as a full three-part scan, cutting scan time to 15-20 minutes and reducing costs.
Researchers used quantitative susceptibility mapping MRI to detect changes in brain tissue linked to iron levels, predicting mild cognitive impairment and later Alzheimer's disease. The study showed that higher iron levels in specific brain areas could spot early changes years before symptoms appeared.
A population-based study found that CT radiation exposure before conception may increase the risk of spontaneous pregnancy loss and congenital anomalies. Women with prior CT scans were more likely to experience miscarriages, ectopic pregnancies, or stillbirths, as well as birth defects in their offspring.
Researchers have developed a silicon chip that uses light to perform convolution operations for AI, reducing energy consumption and increasing speed. The chip achieves near zero energy performance, leap forward for future AI systems.
Physicians rely on nuclear medicine scans to watch the heart pump, track blood flow and detect diseases. The new perovskite-based detector can capture individual gamma rays with record-breaking precision, leading to sharper, faster, cheaper and safer scans.
Researchers developed a new method to correct for variations in brain imaging measurements, reducing bias and increasing the accuracy of studies on ADHD. The traveling-subject method demonstrated reduced measurement bias while maintaining sampling bias, revealing decreased brain volume in critical regions for cognitive functions.
Researchers have developed new PET tracers to monitor immune responses and inflammation beyond the lungs throughout the course of SARS-CoV-2 infection. These breakthroughs offer a new way to visualize changes in lymph nodes, spleen, and bone marrow, supporting faster and more comprehensive imaging.
A new study introduces an optical imaging technique that uses autofluorescence to detect colorectal cancer in real time, offering a promising tool for improving cancer detection during endoscopic procedures. The technique achieved high accuracy rates and the potential to guide doctors during colonoscopy or surgery.
A researcher at Kennesaw State University is creating digital twins of the human stomach using advanced medical imaging, biomechanics testing, and computational modeling. This could lead to a better understanding of gastrointestinal disorders and more accurate diagnoses.
Researchers at Uppsala University have developed an AI system that can detect subtle tissue changes indicative of prostate cancer, missing it from human pathologists. The study found the AI detected cancers in over 80% of cases where pathologists missed them.
Researchers have published three studies using new imaging approaches to detect and treat various types of cancer. These advancements include positronium lifetime tomography for sharper scans, targeted radiotherapy for sarcoma patients, and biomarkers for endometrial cancer diagnosis.
A new 'dual-mode' tracer agent shows promise in helping surgeons image and plan prostate cancer procedures while also providing guided surgery with real-time radiation detection. The tracer targets PSMA, a protein highly expressed on prostate cancer cells, offering high-resolution visual guidance and targeted radiation density detection.
A new technique uses a topical fluorescent molecular contrast agent to detect basal cell carcinoma, which can be done non-invasively in as little as five minutes. The technique shows promise for improving diagnostic accuracy and reducing unnecessary biopsies.
The seminar, part of a DAAD-JSPS collaboration, will cover the latest topics on drug design and treatment protocols for photodynamic therapy. Researchers from Japan and Germany will present their recent research results on PDT, including nano-DDS applications.
Recent studies have shown promising results for triple-targeted cancer therapy, new PET imaging tracers tracking immune activation, and reducing PET scan doses while maintaining diagnostic accuracy. These advancements hold promise for improving cancer treatment outcomes and precision medicine.
A new study from Denmark shows that men with biochemically recurrent prostate cancer who undergo PSMA PET/CT before salvage radiotherapy have improved survival rates compared to those who do not. This research confirms that PSMA PET/CT is a valuable tool for identifying patients likely to benefit from salvage radiotherapy, potentially ...
Researchers evaluated over 1,500 AI algorithms for detecting breast cancers on mammography images, achieving median rates of 98.7% specificity and 27.6% sensitivity. Combining top-performing algorithms resulted in sensitivity boosts to 60.7% and 67.8%, comparable to average screening radiologists.
Researchers developed an alginate-based microrobot that can be tracked using Magnetic Particle Imaging (MPI) and performs real-time localization, selective thermal therapy, and cell delivery. The robot is powered by a single magnetic actuation system independent of conventional medical imaging devices.
Researchers apply quantum mechanics to denoise medical images by separating localized signal from diffused noise. The method leverages physics-driven principles to automatically separate components of pixels in an image.
The Global Radiopharmaceutical Trial Finder, a new AI-powered platform, helps researchers, clinicians, and patients discover clinical trials for life-changing nuclear medicine procedures. The platform uses real-time global trials data and streamlines the trial participation process.
Researchers developed a radiotracer targeting CD24 protein on liver tumor cells, accurately detecting tumors in mice. PSMA PET/CT scans also tracked prostate cancer spread in patients, predicting shorter survival for those with interlesional progression.
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.
Recent AI-based models, such as Asian Prostate Cancer Artificial Intelligence and Galen Prostate, optimize screening and reduce unnecessary biopsies. These models use multimodal clinical parameters and convolutional neural networks to detect prostate cancer and identify aggressiveness of cancer cells.
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.
A first-in-human study found that naloxone reduces opioid receptor availability by 40-50 percent in brain regions, but shows a greater reduction in women compared to men. This suggests sex-based differences in how men and women respond to opioid overdose treatments.
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.