AIMC Topic: Prospective Studies

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Comparison of robot-assisted and conventional laparoscopy for colorectal surgery for endometriosis: A prospective cohort study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Our objective was to evaluate surgical outcomes of robotic compared to conventional laparoscopy for colorectal surgery for endometriosis.

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.

Journal of medical Internet research
BACKGROUND: Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a ...

Robot-assisted gait training with auditory and visual cues in Parkinson's disease: A randomized controlled trial.

Annals of physical and rehabilitation medicine
BACKGROUND: Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (PD); however, the evidence to date is inconsistent.

Retzius-sparing technique independently predicts early recovery of urinary continence after robot-assisted radical prostatectomy.

Journal of robotic surgery
Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for localised prostate cancer. We investigated factors which may be associated with recovery of early urinary continence (EUC), including the use of the Retzius...

Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis.

PloS one
Characteristics of patients at risk of developing severe forms of COVID-19 disease have been widely described, but very few studies describe their evolution through the following waves. Data was collected retrospectively from a prospectively maintain...

Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care.

Scientific reports
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach...

Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.

BMC research notes
OBJECTIVE: Breast cancer is a critical public health issue and a leading cause of cancer-related deaths among women worldwide. Its early diagnosis and detection can effectively help in increasing the chances of survival rate. For this reason, the dia...

Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

Frontiers in endocrinology
BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents.