AIMC Topic: Observational Studies as Topic

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Vitamin D status in relation to Crohn's disease: Meta-analysis of observational studies.

Nutrition (Burbank, Los Angeles County, Calif.) Dec 22, 2015
OBJECTIVES: Inconsistent findings have been published regarding vitamin D status among patients with Crohn's disease (CD) and the association with disease severity. We aimed to perform a meta-analysis evaluating serum 25-hydroxy vitamin D and 1,25 de...
Severity of Illness Index Humans 25-Hydroxyvitamin D 2 Child Adult Crohn Disease Vitamin D Deficiency Global Health Nutritional Status Observational Studies as Topic Prevalence Evidence-Based Medicine Sunlight
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External Validation of an Algorithm to Guide Opioid Administration at the End of Surgery-Protocol for an Observational Cohort Study of the OPIAID Algorithm.

Acta anaesthesiologica Scandinavica Jul 1, 2025
BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse events remain common challenges in perioperative care, often contributing to prolonged recovery and reduced quality of life. The perioperative opioid a...
Humans Machine Learning Algorithms Observational Studies as Topic Pain, Postoperative Analgesics, Opioid Pain Management Prospective Studies Perioperative Care Reproducibility of Results Adult Cohort Studies
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A Bayesian Approach to the G-Formula via Iterative Conditional Regression.

Statistics in medicine Jun 1, 2025
In longitudinal observational studies with time-varying confounders, the generalized computation algorithm formula (g-formula) is a principled tool to estimate the average causal effect of a treatment regimen. However, the standard non-iterative g-fo...
Regression Analysis Bayes Theorem Machine Learning Longitudinal Studies Algorithms Causality Computer Simulation Observational Studies as Topic Models, Statistical Humans
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Critical Illness Electronic Health Records Clinical Decision-Making Female Humans Shock, Septic Observational Studies as Topic Norepinephrine Vasoconstrictor Agents Datasets as Topic Aged Male Middle Aged Hospital Mortality Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Reinforcement Machine Learning
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson's disease for the development of neuronal fingerprints using artificial intelligence.

BMJ open May 16, 2025
INTRODUCTION: Deep brain stimulation (DBS) is a proven effective treatment for Parkinson's disease (PD). However, titrating DBS stimulation parameters is a labourious process and requires frequent hospital visits. Additionally, its current applicatio...
Parkinson Disease Deep Brain Stimulation Subthalamic Nucleus Humans Artificial Intelligence Prospective Studies Longitudinal Studies Observational Studies as Topic Algorithms Research Design
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Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol.

BMJ open May 8, 2025
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected ...
Adolescent Smartphone Observational Studies as Topic Conjunctiva Young Adult Kenya Hemoglobins Machine Learning Adult Photography Hematocrit Pregnancy Cross-Sectional Studies Humans Telemedicine Pregnancy Complications, Hematologic Female Middle Aged Anemia
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How Effective Are Machine Learning and Doubly Robust Estimators in Incorporating High-Dimensional Proxies to Reduce Residual Confounding?

Pharmacoepidemiology and drug safety May 1, 2025
BACKGROUND: Residual confounding presents a persistent challenge in observational studies, particularly in high-dimensional settings. High-dimensional proxy adjustment methods, such as the high-dimensional propensity score (hdPS), are widely used to ...
Observational Studies as Topic Bias Propensity Score Humans Likelihood Functions Machine Learning Computer Simulation Logistic Models Confounding Factors, Epidemiologic
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Comparison of concordance between chuna manual therapy diagnosis methods (palpation, X-ray, artificial intelligence program) in lumbar spine: An exploratory, cross-sectional, prospective observational study protocol.

Medicine Dec 23, 2021
INTRODUCTION: Chuna manual therapy (CMT) is a type of manual medicine practiced by Korean medical doctors in South Korea. Spinal diagnosis in CMT uses a system that applies manual diagnostic and X-ray tests to detect specific vertebral malpositions, ...
Palpation Adult Humans Cross-Sectional Studies Artificial Intelligence X-Rays Male Observational Studies as Topic Female Medicine, Korean Traditional Middle Aged Lumbar Vertebrae Musculoskeletal Manipulations
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AIPW: An R Package for Augmented Inverse Probability-Weighted Estimation of Average Causal Effects.

American journal of epidemiology Dec 1, 2021
An increasing number of recent studies have suggested that doubly robust estimators with cross-fitting should be used when estimating causal effects with machine learning methods. However, not all existing programs that implement doubly robust estima...
Bias Software Design Causality Observational Studies as Topic Randomized Controlled Trials as Topic Data Interpretation, Statistical Humans Machine Learning Computer Simulation
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Mutation Models, Biological Patient Selection Asian People Early Diagnosis Hong Kong Medical History Taking Humans Alzheimer Disease Artificial Intelligence Ethnicity Wearable Electronic Devices Mobile Applications Prospective Studies Clinical Trial Protocols as Topic Cognition Biomarkers Observational Studies as Topic Language Memory Case-Control Studies Behavior Mental Status and Dementia Tests Late Onset Disorders
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