Question Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and ability to promptly detect pneumothorax requiring intervention?Findings In this cohort study, in 11 980 model-assisted radiograph interpretations in live clinical care, model use was associated with a 15.5% documentation efficiency improvement, with no change in radiologist-evaluated… Continue reading Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting
Tag: artificial-intelligence
#Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
PurposeThis study sought to explore the practical application and effectiveness of AI-generated responses in healthcare and compared these with human clinician responses to complex medical queries in the USA and Australia. The study identifies strengths and limitations of AI in clinical settings and offers insights into its potential to enhance healthcare delivery.Design/methodology/approachA comparative analysis used… Continue reading #Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
Mammographic classification of interval breast cancers and #artificial intelligence performance
European studies suggest artificial intelligence (AI) can reduce interval breast cancers (IBCs). However, research on IBC classification and AI’s effectiveness in the U.S., particularly using digital breast tomosynthesis (DBT) and annual screening, is limited. We aimed to mammographically classify IBCs and assess AI performance using a 12-month screening interval.MethodsFrom digital mammography (DM) and DBT screening… Continue reading Mammographic classification of interval breast cancers and #artificial intelligence performance
#AI-based differential diagnosis of #dementia etiologies on multimodal data
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that harnesses a broad array of data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations and multimodal… Continue reading #AI-based differential diagnosis of #dementia etiologies on multimodal data
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
BackgroundBody composition data have been limited to adults with disease or older age. The prognostic impact in otherwise asymptomatic adults is unclear.PurposeTo use artificial intelligence–based body composition metrics from routine abdominal CT scans in asymptomatic adults to clarify the association between obesity, liver steatosis, myopenia, and myosteatosis and the risk of mortality. Materials and MethodsIn… Continue reading AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
FDA Authorizes Marketing of First Cardiac #Ultrasound Software That Uses Artificial #Intelligence to Guide User
..the U.S. Food and Drug Administration authorized marketing of software to assist medical professionals in the acquisition of cardiac ultrasound, or echocardiography, images. The software, called Caption Guidance, is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic… Continue reading FDA Authorizes Marketing of First Cardiac #Ultrasound Software That Uses Artificial #Intelligence to Guide User
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