AIMC Topic: Sweden
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Designing a Social Snus Cessation Mobile Application with an Integrated AI Function.
Studies in health technology and informatics
Aug 22, 2024
The application of artificial intelligence (AI) in healthcare is expected to be increased in the coming years. There has been little attention paid on exploring how social aspects and AI can be integrated into mobile applications to support the peopl...
Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial.
The British journal of dermatology
Jun 20, 2024
BACKGROUND: Use of artificial intelligence (AI), or machine learning, to assess dermoscopic images of skin lesions to detect melanoma has, in several retrospective studies, shown high levels of diagnostic accuracy on par with - or even outperforming ...
'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.
Health informatics journal
Jan 1, 2024
OBJECTIVE: This study aimed to explore radiologists' views on using an artificial intelligence (AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support tool in mammography screening during a clinical trial at Capio Sank...
What Are We Talking About When We Talk About Information-Driven Care? A Delphi-Study on a Definition.
Studies in health technology and informatics
May 18, 2023
In Sweden, the term information-driven care has recently been put forward by healthcare organizations and researchers as a means for taking a comprehensive approach to the introduction of Artificial Intelligence (AI) in healthcare. The aim of this st...
Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists.
BMJ health & care informatics
May 1, 2023
OBJECTIVES: Artificial intelligence (AI) is increasingly tested and integrated into breast cancer screening. Still, there are unresolved issues regarding its possible ethical, social and legal impacts. Furthermore, the perspectives of different actor...
Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.
Pain
Jan 1, 2020
Early detection of patients with chronic diseases at risk of developing persistent pain is clinically desirable for timely initiation of multimodal therapies. Quality follow-up registries may provide the necessary clinical data; however, their design...
Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.
Schizophrenia bulletin
Aug 20, 2018
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phenotypes with the hopes of delineating how individual variation across thousands of variants corresponds to the clinical and etiologic heterogeneity wi...
Instrument Failure, Stress, and Spatial Disorientation Leading to a Fatal Crash With a Large Aircraft.
Aerospace medicine and human performance
Nov 1, 2017
BACKGROUND: An aircraft's orientation relative to the ground cannot be perceived via the sense of balance or the somatosensory system. When devoid of external visual references, the pilot must rely on instruments. A sudden unexpected instrument indic...
Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.
Studies in health technology and informatics
Jan 1, 2017
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling...
Prevalence Estimation of Protected Health Information in Swedish Clinical Text.
Studies in health technology and informatics
Jan 1, 2017
Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner. Although automatic de-identification of clinical text using machine learning holds mu...
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