AIMC Topic: Sweden

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Indirect Sensing of Subclinical Intramammary Infections in Dairy Herds with a Milking Robot.

Sensors (Basel, Switzerland) Nov 8, 2023
This study determined the impact of subclinical intramammary infections (IMIs), such as the major and minor udder pathogens (MaPs and MiPs), on the somatic cell count (SCC) in cow milk and investigated the possibilities of indirect sensing of the udd...
Sweden Animals Cattle Female Lactation Milk Mammary Glands, Animal Robotics Cell Count
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On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry.

BMC medical informatics and decision making Oct 9, 2023
BACKGROUND: Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient's condition and deciding on transport destination. Data-driven On Scene Injur...
Sweden Wounds and Injuries Young Adult Accidents, Traffic Injury Severity Score Triage Humans Artificial Intelligence Retrospective Studies
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Technological trends in Swedish medical libraries.

Health information and libraries journal Aug 11, 2023
Medical libraries in Sweden are digitised to a large extent, technically advanced and developing rapidly. This paper investigates technological trends among Swedish medical libraries in the near and distant future and their application within differe...
Artificial Intelligence Sweden Big Data Humans Libraries, Medical Information Services
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Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Molecular psychiatry Dec 19, 2022
Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood and adolescence. We analyzed registry data from 238,696 persons born ...
Deep Learning Adolescent Attention Deficit Disorder with Hyperactivity Male Comorbidity Learning Disabilities Humans Sweden
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[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Lakartidningen Sep 14, 2022
Skewed information about medicines in social media influence the healthcare-patient contact. Healthcare staff need situation adapted evidence that can be linked to patient data. For 20 years Sweden has provided praised Pharmacological Knowledge Bases...
Child Social Media Knowledge Bases Humans Delivery of Health Care Sweden
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Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BMC health services research Jul 1, 2022
BACKGROUND: Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies...
Qualitative Research Health Facilities Humans Delivery of Health Care Artificial Intelligence Sweden
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Association of Open vs Robot-Assisted Radical Cystectomy With Mortality and Perioperative Outcomes Among Patients With Bladder Cancer in Sweden.

JAMA network open Apr 1, 2022
IMPORTANCE: Mortality rates resulting from bladder cancer have remained unchanged for more than 30 years. The surgical community has put hope in robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) in an effort to imp...
Humans Female Aged Male Sweden Cystectomy Urinary Bladder Neoplasms Robotics Cohort Studies Robotic Surgical Procedures Treatment Outcome
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The entwinement of policy, design and care scripts: Providing alternative choice-dependency situations with care robots.

Sociology of health & illness Jan 29, 2022
The use of robots to assist feeding has become important for people with an impaired arm function. Yet, despite large-scale dissemination strategies, it has proven difficult to sustain the use of this technology. This ethnographic study draws on the ...
Policy Robotics Anthropology, Cultural Humans Sweden
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Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods.

Journal of environmental management Oct 15, 2021
Understanding the mechanisms of pollutant removal in Wastewater Treatment Plants (WWTPs) is crucial for controlling effluent quality efficiently. However, the numerous treatment units, operational factors, and the underlying interactions between thes...
Machine Learning Water Purification Sweden
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Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction.

Nature communications Sep 6, 2021
A promise of genomics in precision medicine is to provide individualized genetic risk predictions. Polygenic risk scores (PRS), computed by aggregating effects from many genomic variants, have been developed as a useful tool in complex disease resear...
Coronary Artery Disease Reproducibility of Results Schizophrenia Sweden United Kingdom Inflammatory Bowel Diseases Biological Specimen Banks Humans Male Multifactorial Inheritance Genetic Predisposition to Disease Breast Neoplasms Machine Learning Female Diabetes Mellitus, Type 2 Age Factors
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