Artificial Intelligence Medical Compendium

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

Showing 33,871 to 33,880 of 221,510 articles

Clinician-Informed Feature Engineering Improves Machine Learning Assignment of Molecular Endotypes in the Intensive Care Unit

medRxiv
Objective: To develop a workflow that transforms electronic health record data into machine learning-ready features for molecular endotype assignment and to evaluate whether clinician-informed feature engineering improves model performance and interp... read more 

Perception of Safety in Behavioral Health Crisis Units among Patients and Care Partners versus Artificial Intelligence (AI): A Multimethod Study

medRxiv
Background: Safety is a critical concern in behavioral health crisis units (BHCUs), where environmental risks (e.g., ligature points) can lead to injury to self or others. However, limited research has examined how perceived safety influences facilit... read more 

Causal Machine Learning for Comparative Effectiveness of GLP-1 RA versus SGLT2i in Heart Failure Using Real-World EHR Data

medRxiv
Clinicians lack precision medicine tools to estimate individualized treatment effects for patients with heart failure (HF). Causal machine learning leveraging electronic health records can estimate both average and individualized treatment effects, e... read more 

Attitudes and Perceptions Toward the Use of Artificial Intelligence Chatbots for Peer Review in Medical Journals: A Large-Scale, International Cross-Sectional Survey

medRxiv
Background: Artificial intelligence chatbots (AICs), as a form of generative artificial intelligence (AI), are increasingly being considered for use in scholarly peer review to assist with tasks such as identifying methodological issues, verifying re... read more 

Leveraging machine learning to predict Parkinson's disease using pre-symptomatic proteomics data.

Brain : a journal of neurology
In Parkinson's disease, non-motor symptoms precede the characteristic motor manifestations by up to 20 years. However, predicting the disease risk remains challenging. We applied machine learning to 2937 plasma proteins assayed in UK Biobank particip... read more 

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)
Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinations and invasive diagnostic procedures, such as fine-needle aspiration, fine-needle biopsies, and ... read more 

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)
Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinations and invasive diagnostic procedures, such as fine-needle aspiration, fine-needle biopsies, and t... read more 

Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images.

iScience
Urban tree species classification is essential for green space management but is challenged by the fragmented spatial distributions of trees. To address this issue, this study employs a hyperspectral imagery-based classification method to improve the... read more 

Measuring the quality of AI-generated clinical notes: A systematic review and experimental benchmark of evaluation methods.

Artificial intelligence in medicine
High-quality clinical documentation is essential for safe and effective care, yet its production remains time consuming and prone to error. Large language models (LLMs) have shown potential for supporting clinical note generation, but their clinical ... read more 

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Ageing research reviews
Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and its prevalence is increasing by more than 55 million people globally, with an expected increase of 13... read more