Artificial Intelligence Medical Compendium

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

Showing 33,771 to 33,780 of 221,422 articles

A survey on large language models in biology and chemistry.

Experimental & molecular medicine
Artificial intelligence (AI) is reshaping biomedical research by providing scalable computational frameworks suited to the complexity of biological systems. Central to this revolution are bio/chemical language models, including large language models,... read more 

Opportunistic Screening on Chest CT, From the AJR Special Series on Screening.

AJR. American journal of roentgenology
The increase in chest CT volumes affords radiologists the opportunity to systematically assess imaging biomarkers, including coronary and thoracic arterial calcification, emphysema, airway dysanapsis, adipose tissue in various compartments, skeletal ... 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 

Diagnostic performance of AI-based EEG interpretation versus human clinical experts for epilepsy detection: systematic review and meta-analysis.

Journal of biomedical informatics
BACKGROUND: Electroencephalography (EEG) interpretation for epilepsy diagnosis faces persistent challenges including specialist shortages, variable interpretation accuracy, and limited accessibility. Artificial intelligence (AI)-based automated inter... read more 

Rethinking fairness in unsupervised healthcare AI: A methodological scoping review.

Journal of biomedical informatics
OBJECTIVE: Fairness in machine learning has been extensively studied in supervised settings, where labeled outcomes allow direct assessment of bias. In contrast, fairness in unsupervised learning-particularly in healthcare remains insufficiently exam... read more