Articles tagged with Diagnostic Accuracy
The study found substantial international variability in laboratory testing for bone and mineral metabolism, limiting data sharing and clinical impact. The survey highlights the need for greater consistency in BSI testing to improve clinical utility and patient care.
A blood test that compares two molecules in the blood can accurately distinguish between bacterial and viral infections in newborn babies with fever. The test showed a high sensitivity and specificity, and could potentially improve treatment and reduce unnecessary antibiotic use.
A new DNA test has been developed to identify the genetic causes of inherited muscle disease, offering hope for diagnosis and treatment for thousands of Australians. The test, which uses long-read sequencing, screens over 300 genes and detects complex genetic changes that older tests miss.
IMS Solutions launches with a £1.1 million Seed round to develop a stratification test for Polyendocrine Metabolic Ovarian Syndrome (PMOS) and a urine test for Adrenocortical Carcinoma (ACC), aiming to improve patient outcomes and reduce costs. The technology platform detects unique steroid signatures in urine and blood, offering a mor...
Researchers will develop a molecular diagnostic test that quantifies small RNA species to detect fetal oxygen deprivation during labor. The technology aims to provide clinically relevant values for stratifying the risk of babies during labor.
A scoping review found that only 77 studies validating 52 medical AI products reported demographic data, highlighting the need for more transparent reporting to confirm safe and unbiased performance. The review also showed that performance reporting for demographic subgroups is inadequate, posing a risk to patient care and outcomes.
A new study from North Carolina State University found that an AI-enabled digital stethoscope struggled to detect cardiac murmurs and arrhythmias in cats, while performing moderately well in dogs. The researchers emphasize the need for veterinarians to rely on human expertise when using AI-assisted technology.
A new study found that a simple blood test can accurately identify tuberculosis (TB) among patients, which could help save millions of lives and reduce transmission. The test measures a specific marker called ESAT-6 produced by the TB bacteria.
Dr. Elaine S. Jaffe receives AMP's highest honor for pioneering contributions to lymphoma diagnosis and treatment. Dr. Laura J. Tafe is recognized for her leadership and service to the organization, while Dr. Daniel E. Sabath receives the Meritorious Service Award for his dedication to scientific excellence and organizational service.
Elaine S. Jaffe, a distinguished investigator at the NCI Center for Cancer Research, has transformed our understanding of lymphoid malignancies through her groundbreaking research. Her work has led to significant advancements in disease classifications, diagnosis, and treatment.
The meeting will explore breakthroughs in diabetes prevention and treatment, as well as innovative approaches to monitoring astronauts' health in space. Researchers will also discuss potential targets for slowing or preventing Alzheimer's disease in people with Down syndrome, and advancements in cervical cancer screening.
Researchers developed a new allergen-specific IgE test to detect functional antibodies capable of triggering immune responses in food allergies. The improved AlphaCL method overcomes limitations of conventional tests, maintaining strong signal responses even with serum components present.
The AKI-PURIFY survey reveals substantial variability in AKI prevention strategies and KDIGO implementation across ICUs. Despite strong evidence supporting structured preventive approaches, only one-third of respondents reported routine implementation of kidney-protective bundles.
The Mount Sinai Health System has opened the Carolyn Rowan Center for Women’s Health and Wellness, which brings together multidisciplinary clinical expertise, structured care pathways, and leading-edge research to deliver personalized, comprehensive care for women. The Center offers guided multi-visit experiences and coordinated care o...
The American Cancer Society has endorsed two new types of stool tests and recommends limiting the use of blood tests for colorectal cancer screening. The guidelines aim to encourage people to get screened while improving detection rates.
Researchers from The University of Osaka identified a unique genetic pattern in carcinoma cuniculatum, a rare type of oral cancer with slower growth and lower risk of spread. This discovery may lead to improved diagnosis and targeted treatment for this challenging-to-diagnose condition.
International experts in laboratory medicine, osteoporosis, and chronic kidney disease recommend ending routine reporting of albumin-adjusted ('corrected') calcium. The practice may misclassify patients and compromise care due to unreliable correction formulas and variability in local measurements.
Researchers at Aalto University developed a new ultrasonic needle that can collect 2-3 times more tissue than current biopsy methods, improving cancer diagnosis accuracy. The minimally invasive approach shows strong potential for broader diagnostic use, particularly in rare salivary gland tumors.
Two new studies from Aarhus University reveal that endometriosis is often difficult to recognize in its early stages, requiring a systematic approach even when symptoms are diffuse. The studies highlight the need for improved knowledge, collaboration with specialists, and referral pathways to reduce diagnostic delays.
A study by the CNIO group has identified a genetic signature in precancerous breast lesions that can predict which ones will evolve into invasive tumours. This discovery could help avoid over-treatment of women diagnosed with ductal carcinoma in situ, a common precancerous lesion.
A study of 21 large language models found that they excel at accurate final diagnoses but falter at differential diagnoses, highlighting the need for human oversight in healthcare. The researchers developed a novel measure, PrIME-LLM, to evaluate AI's clinical competency across different stages of reasoning.
A national survey found significant disparities in IBS diagnosis across sex and racial groups in the US. Men and Black patients are less likely to receive a formal diagnosis compared to women and white patients, despite similar reported healthcare-seeking behavior and symptom severity.
Researchers developed a new blood test combined with AI that can identify early cases of leprosy before severe symptoms appear. The test analyzes antibodies to the Mce1A antigen and shows promise for strengthening diagnostic screening in public health systems.
A study led by Brown University researchers analyzed lung screening data to identify abnormalities outside the lungs that warrant follow-up care. Cancer-related findings appeared in about 3% of screening rounds and were linked to a higher risk of extrapulmonary cancers, particularly urinary system cancers.
A new study found that A&E patients with visible blood in their urine who receive a scan within 48 hours are 2.5% less likely to die within three months. The study also showed that patients with cancer are diagnosed significantly faster when they receive prompt investigation.
Researchers developed an AI tool to predict patients at risk of intimate partner violence, using data from medical visits. The tool achieved high accuracy in detecting IPV among patients, with the multimodal fusion model outperforming others, detecting risk 88% of the time.
A new imaging test, PSMA PET/CT scan, has been shown to safely reduce the number of biopsies needed for suspected prostate cancer, with no harm to patients. The PRIMARY2 trial found that the scan could identify low-risk patients who did not need a biopsy, while targeting suspicious areas for those who did.
Research presented at EAU26 confirms that prostate cancer screening leads to a reduction in mortality, but also detects cancers that would otherwise remain undetected. The study's findings suggest that using MRI in prostate cancer screening can reduce overdiagnosis and unnecessary biopsies.
A new clinical diagnostic test using optical genome mapping (OGM) has been shown to detect additional genetic variants in nearly 20% of individuals with acute leukemia. OGM offers a comprehensive view of the genome, refining diagnosis and risk stratification, and improving therapy selection. The test's high diagnostic yield and ability...
Cancer cell-derived small extracellular vesicles can be excreted into urine, according to researchers who tracked their journey in mouse models. The study reveals that glomerular cells actively transport sEVs across the filtration barrier, supporting their use in emerging urine-based cancer diagnostics.
This study found that US thyroid cancer overdiagnosis persists even after accounting for possible true incidence rises, highlighting opportunities to reduce unnecessary referrals and diagnoses
A new analysis found that wearing an Apple Watch with hypertension notifications can increase the probability of having hypertension in younger adults, while decreasing it in older adults. The study also revealed racial and ethnic disparities in cardiovascular health, highlighting the need for targeted screening and treatment.
The Ann Arbor Guide provides two algorithms for triaging adults with suspected UTIs, one for non-pregnant women and the other for men. It also emphasizes the importance of accurate testing and treatment to prevent overuse of antibiotics and antibiotic resistance.
A new study by CNIO has identified two genes in the complement system that increase the risk of pancreatic ductal adenocarcinoma. These genes, FCN1 and PLAT, may serve as biomarkers for screening high-risk populations.
Researchers developed an AI model that can detect coronary microvascular dysfunction using a common electrocardiogram, outperforming previous models in diagnostic tasks. The model can accurately identify a condition often missed in emergency department visits, providing a cost-effective and non-invasive way to diagnose serious heart co...
Researchers at Florida Atlantic University have developed a deep learning model that detects and evaluates Alzheimer's disease (AD) and frontotemporal dementia (FTD) using EEG brainwave analysis. The model achieved over 90% accuracy in distinguishing individuals with dementia from cognitively normal participants.
Scientists at Northwestern University have developed the fastest test yet for diagnosing hepatitis C virus, delivering results in just 15 minutes – up to 75% faster than current rapid tests. The highly accurate diagnostic could revolutionize HCV care by improving diagnosis and accelerating treatment uptake.
Researchers at Rice University have developed a way to make serum markers more sensitive by editing them inside the bloodstream, enabling clearer observation of gene-expression changes in the brain. This approach could lead to more precise diagnostic capabilities using simple blood tests.
A new study shows that AI-assisted interviews can diagnose mental illnesses with higher accuracy than traditional rating scales. The AI assistant Alba was able to differentiate between diagnoses that often overlap and received positive feedback from participants for its empathic and supportive user experience.
Researchers are presenting groundbreaking findings at the Association for Molecular Pathology's annual meeting, including a novel technique to study ancient DNA and rapid detection of serious fungal pathogens. The Association for Molecular Pathology is providing press materials and resources for media coverage.
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.
A recent FAU Engineering study leverages quantum computing to enhance the accuracy of chronic kidney disease (CKD) diagnosis. The research team developed and compared two automated systems: Classical Support Vector Machine (CSVM) and Quantum Support Vector Machine (QSVM). CSVM achieved remarkable 98.75% accuracy, while QSVM reached 87....
Researchers developed an AI tool that detects intestinal parasites in stool samples with greater sensitivity than human observers, even those with years of experience. The system uses a deep-learning model to identify parasites in wet mounts of stool, improving the likelihood of detecting pathogenic parasites.
The Association for Molecular Pathology has created a standardized biomarker report template to simplify complex molecular profiling data presentation to oncologists and healthcare providers. The template includes guidelines for clear formatting, therapeutic guidance, and references to clinical practice guidelines.
Researchers developed an AI model that diagnoses achalasia using plain chest X-rays, outperforming physicians' reviews. The diagnostic performance of the AI model demonstrated higher sensitivity and specificity, enabling early diagnosis and potentially improving treatment efficacy.
Researchers developed a fully automated finite element analysis pipeline to transform spine diagnostics and personalized treatment planning. The new approach enables rapid, patient-specific simulations that support preoperative planning, spinal implant optimization, and early detection of degenerative spine conditions.
A new study published in Clinical Chemistry and Laboratory Medicine has developed a practical tool to support harmonization and quality improvement in vitamin D testing. The multicentre study evaluates the measurement uncertainty of various 25-(OH)D assays and their ability to detect physiologically relevant changes over time.
A team of researchers developed a method to annotate biopsy image data with eye-tracking devices, reducing the burden on pathologists. The resulting AI model achieved an accuracy of 96.3% and surpassed human pathologists' performance in diagnosing skin lesions.
The updated fourth edition of the Laboratory Guide for Identification of Plant Pathogenic Bacteria provides simplified identification methods and detailed protocols. The comprehensive volume covers conventional and cutting-edge methods, including molecular, serological, biochemical assays, to accurately identify bacterial plant pathogens.
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.
Researchers at Arizona State University have developed a rapid and accurate diagnostic test called NasRED that can detect diseases like COVID-19 with high sensitivity. The test uses tiny gold nanoparticles to identify disease-related proteins in a sample of bodily fluid, providing lab-quality accuracy without expensive equipment.
Researchers developed a test to detect early-stage solid tumors using a blood sample, identifying patterns in amino acid concentrations that can translate into diagnostic signals. The test achieved an 87% positive rate and showed potential for precision medicine in choosing treatments.
Researchers at Chiba University have developed novel microfluidic devices that incorporate microcones to detect and characterize circulating tumor cells in blood. The devices demonstrated highly selective capture of human breast and lung cancer cells, with high efficiency even at high flow rates.
A new blood test leverages AI to identify Lyme disease sooner and more accurately than current standard tests, with sensitivity and specificity over 90%. Additionally, an AI tool, Medicine-GPT, demonstrates promise in helping adolescents gather useful medical information, outperforming ChatGPT-4 on completeness and helpfulness.
Researchers found that billing codes may mistakenly identify diseases in up to 45% of cases, highlighting a significant limitation in using administrative data for clinical research. The study examined records of 1.36 million patients and found discrepancies between coded diagnoses and actual disease presence.
Researchers at UChicago have developed a more sensitive liquid biopsy test that uses RNA to detect the earliest stages of colorectal cancer with 95% accuracy. The test analyzes RNA modification levels in blood samples, which remain stable regardless of sample preparation.
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.
A Nagoya University group created a sandwich ELISA technique to accurately measure polysialic acid levels in the blood of patients with psychiatric disorders. The technique uses antibodies that minimize non-specific binding, resulting in increased accuracy.
A new diagnostic tool uses AI to analyze handwriting signals, detecting subtle motor symptoms associated with Parkinson's disease. The device has shown an average accuracy of 96.22% in distinguishing patients from healthy individuals.
A study of 203 patients shows that electromagnetic navigation bronchoscopy (ENBDM) is a safer and faster alternative to CT-guided localization for preoperative treatment of multiple pulmonary nodules in the same lung. ENBDM achieved comparable accuracy with lower complication rates, making it an optimal strategy.