AIMC Topic: Humans

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Older home care clients' experiences of digitalisation: A qualitative study of experiences of the use of robot for medicines management.

Scandinavian journal of caring sciences
BACKGROUND: Home-living older people with multiple medications are a key target group for medication robots. However, our understanding of how robots for medicines management work in older people's daily lives is limited.

In-silico generation of high-dimensional immune response data in patients using a deep neural network.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Technologies for single-cell profiling of the immune system have enabled researchers to extract rich interconnected networks of cellular abundance, phenotypical and functional cellular parameters. These studies can power machine learning approaches t...

In slope-changing osteotomy one millimeter is not one degree: results of an artificial intelligence-automated software analysis.

International orthopaedics
BACKGROUND: Anterior closing wedge osteotomies (ACWO) are performed in revision anterior cruciate ligament (ACL) surgery to correct an excessive posterior tibial slope (PTS).

Same-Day Discharge After Robot-Assisted Partial Nephrectomy: Is It Worth It?

Journal of endourology
Robot-assisted partial nephrectomy (RAPN) has traditionally been performed as an inpatient procedure; however, recent studies have suggested the feasibility of same-day discharge (SDD) after RAPN. We aimed to evaluate the safety and cost-effectivene...

Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes.

The Journal of nutrition
BACKGROUND: Along with the popularity of smartphones, artificial intelligence-based personalized suggestions can be seen as promising ways to change eating habits toward more desirable diets.

Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities link...

The efficacy of "TiRobot"orthopaedic robot-assisted VS conventional fluoroscopic percutaneous screw fixation of the sacroiliac joint.

International orthopaedics
PURPOSE: This study is to compare the precision and safety of the orthopaedic robot with conventional fluoroscopy for assisted percutaneous sacroiliac joint screw implantation.

Minimally Invasive Management of Post-treatment Rectovesical Fistulae.

Journal of endourology
The aim of this study is to report our experience in minimally invasive management of rectovesical fistulae (RVFs). Between 2004 and 2021, 24 patients who underwent minimally invasive RVF repair by a single surgeon at 3 international institutions w...

Prediction of coronary heart disease in gout patients using machine learning models.

Mathematical biosciences and engineering : MBE
Growing evidence shows that there is an increased risk of cardiovascular diseases among gout patients, especially coronary heart disease (CHD). Screening for CHD in gout patients based on simple clinical factors is still challenging. Here we aim to b...