AI Medical Compendium

Identification of metabolism and inflammation-related biomarkers and potential drugs for schizophrenia based on comprehensive bioinformatics and machine learning.

BMC psychiatry Mar 4, 2026

Discovery of suicide risk-associated predictors among emerging adults: an interpretable machine learning and network analysis approach.

BMC psychiatry Mar 4, 2026

Accuracy, quality, and readability analyses of responses from large language models to questions on pediatric dental sedation.

BMC oral health Mar 4, 2026

Advantages and challenges for utilization of generative artificial intelligence in clinical nursing practice: an integrative review.

BMC nursing Mar 4, 2026

BACKGROUND: Generative artificial intelligence (AI) has the potential to ease the administrative burden placed on nurses and to advance the quality and efficiency of care. Emerging nursing evidence suggests that increasing clinical complexity is asso... read more

Use of artificial intelligence-enhanced virtual patients in educational approaches to medical interview training: a systematic review.

BMC medical education Mar 4, 2026

Deep learning-enabled ECG system for detecting left ventricular hypertrophy and predicting cardiovascular prognoses.

BioData mining Mar 4, 2026

Left ventricular hypertrophy (LVH) is a common condition with a prevalence of 15%-20% in general population. Prior studies have suggested that deep learning model (DLM)-enabled electrocardiogram (ECG) systems can aid LVH detection and cardiovascular ... read more

Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes.

BioData mining Mar 4, 2026

Machine learning algorithms for predicting quality of life improvements after digital orthodontic treatment: a retrospective analysis.

Biomedical engineering online Mar 4, 2026

BACKGROUND: Digital orthodontic treatment has revolutionized clinical practice, yet predicting individual patient outcomes remains challenging. This retrospective study developed and validated machine learning algorithms to predict quality of life im... read more

Hierarchical machine learning models for predicting antenatal care utilisation among Nigerian women: Identifying actionable insights for health policy.

BioData mining Mar 4, 2026

Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort.

BMC geriatrics Mar 4, 2026

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the need for mechanical ventilation (MV) in elderly patients diagnosed with acute pulmonary embolism (APE). MATERIALS AND METHODS: The study included a cohor... read more

Artificial Intelligence Medical Compendium

Identification of metabolism and inflammation-related biomarkers and potential drugs for schizophrenia based on comprehensive bioinformatics and machine learning.

Discovery of suicide risk-associated predictors among emerging adults: an interpretable machine learning and network analysis approach.

Accuracy, quality, and readability analyses of responses from large language models to questions on pediatric dental sedation.

Advantages and challenges for utilization of generative artificial intelligence in clinical nursing practice: an integrative review.

Use of artificial intelligence-enhanced virtual patients in educational approaches to medical interview training: a systematic review.

Deep learning-enabled ECG system for detecting left ventricular hypertrophy and predicting cardiovascular prognoses.

Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes.

Machine learning algorithms for predicting quality of life improvements after digital orthodontic treatment: a retrospective analysis.

Hierarchical machine learning models for predicting antenatal care utilisation among Nigerian women: Identifying actionable insights for health policy.

Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort.

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Artificial Intelligence Medical Compendium

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