AIMC Topic: Norway
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Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study.
Journal of medical Internet research
Dec 31, 2024
BACKGROUND: Hospitals use triage systems to prioritize the needs of patients within available resources. Misclassification of a patient can lead to either adverse outcomes in a patient who did not receive appropriate care in the case of undertriage o...
Expert-level detection of M-proteins in serum protein electrophoresis using machine learning.
Clinical chemistry and laboratory medicine
Jun 17, 2024
OBJECTIVES: Serum protein electrophoresis (SPE) in combination with immunotyping (IMT) is the diagnostic standard for detecting monoclonal proteins (M-proteins). However, interpretation of SPE and IMT is weakly standardized, time consuming and invest...
Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study.
Journal of medical Internet research
May 17, 2024
BACKGROUND: Suicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statis...
Care-receivers with physical disabilities' perceptions on having humanoid assistive robots as assistants: a qualitative study.
BMC health services research
Apr 25, 2024
BACKGROUND: People with physical disabilities due to disease or injury face barriers to their daily activities and participation in society. Many depend on formal or informal caregivers for assistance to live independently. However, future healthcare...
Is Risk-Stratifying Patients with Colorectal Cancer Using a Deep Learning-Based Prognostic Biomarker Cost-Effective?
PharmacoEconomics
Apr 7, 2024
OBJECTIVES: Accurate risk stratification of patients with stage II and III colorectal cancer (CRC) prior to treatment selection enables limited health resources to be efficiently allocated to patients who are likely to benefit from adjuvant chemother...
AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.
European radiology
Mar 25, 2024
OBJECTIVE: To explore the ability of artificial intelligence (AI) to classify breast cancer by mammographic density in an organized screening program.
Women's attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms.
European journal of radiology
Mar 16, 2024
PURPOSE: To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.
PloS one
Jan 5, 2024
BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times.
Norwegian radiologists' expectations of artificial intelligence in mammographic screening - A cross-sectional survey.
European journal of radiology
Aug 23, 2023
PURPOSE: To explore Norwegian breast radiologists' expectations of adding artificial intelligence (AI) in the interpretation procedure of screening mammograms.
An automated auroral detection system using deep learning: real-time operation in Tromsø, Norway.
Scientific reports
May 31, 2022
The activity of citizen scientists who capture images of aurora borealis using digital cameras has recently been contributing to research regarding space physics by professional scientists. Auroral images captured using digital cameras not only fasci...
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