AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Sweden

Showing 41 to 50 of 96 articles

Clear Filters

[Machine learning and suicide prevention: is an algorithm the solution?].

Nederlands tijdschrift voor geneeskunde
Suicide is inherently difficult to predict. Epidemiological research identified many general risk factors such as a depression, but these predictors have limited predictive power. Machine learning offers a set of tools that can combine hundreds of pr...

Artificial intelligence and the medical physics profession - A Swedish perspective.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
BACKGROUND: There is a continuous and dynamic discussion on artificial intelligence (AI) in present-day society. AI is expected to impact on healthcare processes and could contribute to a more sustainable use of resources allocated to healthcare in t...

Predicting spatiotemporally-resolved mean air temperature over Sweden from satellite data using an ensemble model.

Environmental research
Mapping of air temperature (Ta) at high spatiotemporal resolution is critical to reducing exposure assessment errors in epidemiological studies on the health effects of air temperature. In this study, we applied a three-stage ensemble model to estima...

Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction.

Nature communications
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...

Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods.

Journal of environmental management
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...

The entwinement of policy, design and care scripts: Providing alternative choice-dependency situations with care robots.

Sociology of health & illness
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 ...

Association of Open vs Robot-Assisted Radical Cystectomy With Mortality and Perioperative Outcomes Among Patients With Bladder Cancer in Sweden.

JAMA network open
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...

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BMC health services research
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...

[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Lakartidningen
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...

Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Molecular psychiatry
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 ...