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
Can ChatGPT and Bard Bolster Decision-Making for Cancer Screening in Radiology?
December 21st 2023In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”
AI Facilitates Nearly 83 Percent Improvement in Turnaround Time for Fracture X-Rays
December 19th 2023In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.
Study: AI Enhances Abnormality Detection on CXR Across Radiologist Experience Levels
December 13th 2023Emerging research suggests that adjunctive artificial intelligence (AI) improves sensitivity for a variety of abnormalities on chest X-rays regardless of radiologist experience level, including an average 26 percent increase in sensitivity for pneumothorax.
GE HealthCare Launches AI Mammography Platform with Key Applications from iCAD
November 30th 2023Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.
Study Shows Benefits of AI in Detecting Lung Cancer Risk in Non-Smokers
November 22nd 2023Artificial intelligence (AI) assessments of chest X-rays identified 28 percent of a 17,000 plus cohort of never-smokers as being at high-risk for lung cancer, according to research to be presented at the annual Radiological Society of North America (RSNA) conference next week.
Could an Emerging AI System Lead to Earlier Autism Detection with DT-MRI?
November 21st 2023Through assessment of diffusion tensor MRI of the brain, a new AI system reportedly offers a 97 percent sensitivity rate in diagnosing autism in children between two to four years of age, according to research to be presented at the annual Radiological Society of North America (RSNA) conference next week.
Samsung Debuts New Ultrasound Modality Geared Toward Women's Health and Urology
November 15th 2023Combining enhanced imaging capabilities, workflow efficiencies and artificial intelligence (AI)-enabled technology to improve the diagnosis and management of health conditions in women, Samsung has launched the V6 ultrasound system.
Adjunctive Brain Volume Quantification Tool for MRI Gets FDA Clearance
November 14th 2023Providing automated brain volume calculations based on MRI images, NeuroShield’s artificial intelligence (AI)-powered technology may help facilitate treatment for neurodegenerative conditions ranging from Alzheimer’s disease to epilepsy.
What a New Review Reveals About Mammography-Based AI and Breast Cancer Risk Assessment
November 9th 2023Mammography-based artificial intelligence (AI) models demonstrated an 11 percent higher median AUC for predicting breast cancer than traditional clinical risk factors, according to a new systematic review of 16 retrospective studies.
Outpatient Reimbursement to Increase 65 Percent for EchoGo Heart Failure Platform in 2024
November 8th 2023Reimbursement for use of the artificial intelligence (AI)-powered EchoGo Heart Failure platform in hospital outpatient settings for Medicare and Medicaid patients is expected to increase from $99.81 to $284.88 in 2024.
Annalise ai Introduces Radiology Triage Platform for Head CT and Chest X-Ray Exams
November 1st 2023Featuring 12 prior FDA clearances for chest X-ray and non-contrast head CT, the Annalise Triage platform may help streamline radiology workflows and prioritize timely diagnosis of urgent conditions.