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November 22nd 2024
While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
November 20th 2024
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Can AI Enhance MRI Detection of Amyloid-Related Abnormalities in Patients with Alzheimer's Disease?
February 14th 2024The adjunctive use of AI software led to 16 percent and 10 percent increases in sensitivity rates for the detection of ARIA-E and ARIA-H, respectively, in patients with Alzheimer’s disease, according to newly published research.
FDA Clears AI Software for Liver Attenuation on Abdominal CT
February 13th 2024The AI-enabled HealthFLD software demonstrated a 77.8 percent sensitivity rate and a 93.2 percent specificity rate for diagnosing moderate hepatic steatosis on contrast-enhanced CT scans in a recent study of over 2,900 patients.
FDA Clears AI Software for Assessing Intracerebral Hemorrhage on Non-Contrast CT
February 12th 2024Facilitating timely diagnosis and intervention for brain bleeds, the artificial intelligence (AI)-powered Viz ICH Plus software may provide quantified assessment for intracranial hyperdensities, lateral ventricles and midline shifts.
Can Multimodality AI Enhance CT Detection of Medium Vessel Occlusions?
February 8th 2024The use of multiple artificial intelligence (AI) modalities to assess blood vessel density reduction and computed tomography perfusion (CTP) mismatch values facilitated a 93.3 percent detection rate for medium vessel occlusions, according to research presented recently at the International Stroke Conference.
Adjunctive AI Powered Tool for Tuberculosis Detection Gets FDA's Breakthrough Device Designation
February 5th 2024With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.
FDA Clears AI-Powered Digital Cytology Platform for Cervical Cancer
February 2nd 2024Combining advanced volumetric imaging technology with deep learning, the Genius Digital Diagnostics System has reportedly shown a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions in comparison to microscopic review.
Study: Deep Learning Reconstruction Reduces Effective Dosing for CT Colonography by 83 Percent
January 31st 2024Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.
3D Hip CT AI Model Bolsters Future Fracture Risk Assessment for Patients with Hip Fractures
January 30th 2024Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.
Key Takeaways from Multiple Radiology Societies on AI Assessment and Integration
January 22nd 2024In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.
FDA Clears Updated AI Software for Lung CT
January 22nd 2024Reportedly offering improved delineation of pulmonary structures and greater accuracy with computed tomography (CT) values of pulmonary tissue, the artificial intelligence (AI)-powered LungQ 3.0.0. may facilitate enhanced precision and efficiency with interventional procedures such as lung volume reduction and ablation procedures.
FDA Clears AI-Powered CT Assessment Tool for Lung Fibrosis
January 18th 2024For patients with suspected interstitial lung disease, the digital biomarker solution Fibresolve offers machine learning capability of diagnosing idiopathic pulmonary fibrosis (IPF) based on assessment of lung computed tomography (CT) scans.
FDA Clears AI Software for Enhanced Lung Nodule Detection on Chest X-Rays
January 9th 2024Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.
Hybrid MRI Deep Learning Model Shows Promise in Predicting Tumor Deposits with Rectal Cancer
January 3rd 2024An emerging deep learning model, which incorporates T2-weighted MRI and clinical data, demonstrated an 83.9 percent AUC and an 85 percent specificity rate for preoperative prediction of tumor deposits in patients with rectal cancer.
