AIMC Topic: France

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Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Female Aged Aged, 80 and over Young Adult Adult Humans Retrospective Studies Drug-Related Side Effects and Adverse Reactions France Drug Prescriptions Pharmacists Pharmacy Service, Hospital Male Middle Aged Deep Learning Adolescent Hospitals, University
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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Antibodies, Bispecific Subretinal Fluid France Exudates and Transudates Humans Visual Acuity Aged Intravitreal Injections Tomography, Optical Coherence Artificial Intelligence Aged, 80 and over Fluorescein Angiography Vascular Endothelial Growth Factor A Retrospective Studies Male Wet Macular Degeneration Drug Substitution Female Angiogenesis Inhibitors Follow-Up Studies
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Gut microbiota alterations are linked to COVID-19 severity in North African and European populations.

NPJ biofilms and microbiomes Jun 13, 2025
Although COVID-19 primarily affects the respiratory system, many patients experience gastrointestinal symptoms, suggesting a role for the gut microbiota in disease pathogenesis. To explore this, we performed shotgun metagenomic sequencing on stool sa...
Female Aged Adult Male Middle Aged Humans COVID-19 Dysbiosis Metagenomics France Morocco North African People Severity of Illness Index Feces Bacteria Gastrointestinal Microbiome
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Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.

JMIR infodemiology May 1, 2025
BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health b...
France Saccharomyces cerevisiae Humans Machine Learning Retrospective Studies United States Dietary Supplements Social Media Natural Language Processing
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Serious pulmonary pathologies of infectious, viral, or bacterial origin are accompanied by inflammation and an increase in oxidative stress (OS). In these situations, biological measurements of OS are technically difficult to obtain, and ...
France COVID-19 Biomarkers Retrospective Studies Female Middle Aged Hospitalization Humans Severity of Illness Index SARS-CoV-2 Aged Machine Learning Oxidative Stress Adult Feasibility Studies Male Lung Diseases
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Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. Howeve...
Humans Machine Learning Retrospective Studies Female Hospitalization Aged Aged, 80 and over Male Home Care Services Emergency Service, Hospital Cost-Effectiveness Analysis Telemedicine Emergency Room Visits Cost-Benefit Analysis France
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Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms.

Environmental monitoring and assessment Apr 10, 2025
Soil organic carbon (SOC) plays a crucial role in carbon cycle management and soil fertility. Understanding the spatial variations in SOC content is vital for supporting sustainable soil resource management. In this study, we analyzed the variability...
Soil Deep Learning Environmental Monitoring Carbon France Machine Learning Algorithms
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Artificial intelligence-based personalised rituximab treatment protocol in membranous nephropathy (iRITUX): protocol for a multicentre randomised control trial.

BMJ open Apr 2, 2025
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of nephrotic syndrome in non-diabetic Caucasian adults. Rituximab is now recommended as first-line therapy for membranous nephropathy. However, Kidney Dise...
Rituximab Nephrotic Syndrome Multicenter Studies as Topic Randomized Controlled Trials as Topic Immunologic Factors Humans Glomerulonephritis, Membranous France Artificial Intelligence Precision Medicine Algorithms Female Prospective Studies Adult Male
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Contribution of Structure Learning Algorithms in Social Epidemiology: Application to Real-World Data.

International journal of environmental research and public health Feb 27, 2025
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data,...
France Paris Aged Humans Adult Machine Learning Male Algorithms Middle Aged Female Cohort Studies
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Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence.

ESC heart failure Feb 13, 2025
AIMS: Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 90 days. This study aimed to construct a model automatically predicting 90 day post-discharge mortality using electronic health record (EHR) data 48 h ...
Risk Assessment Humans Aged Artificial Intelligence Heart Failure Aged, 80 and over Time Factors Prognosis France Survival Rate ROC Curve Retrospective Studies Follow-Up Studies Male Electronic Health Records Acute Disease Female Hospitalization
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