AI Medical Compendium

GGAR: gradient guided adaptive regularization enhances deep learning classification of brassica species using codon usage bias.

BMC bioinformatics Apr 11, 2026

Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.

BMC infectious diseases Apr 11, 2026

Evaluation of large language models for VI-RADS reports: a comparative analysis of zero-shot and few-shot prompting.

BMC medical imaging Apr 11, 2026

A rapidly personalized in-hospital bloodstream infection prediction model: a multicenter retrospective study.

BMC infectious diseases Apr 11, 2026

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BMC pediatrics Apr 11, 2026

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral hygiene are well recognized, the association between environmental heavy metal exposure and pediatric... read more

Evaluating large language models for endodontic case difficulty assessment: accuracy, consistency, temporal stability, and agreement.

BMC oral health Apr 11, 2026

Automated scout-image-based estimation of contrast agent dosing: a deep learning approach.

BMC medical imaging Apr 11, 2026

BACKGROUND: Optimal contrast agent dosing in computed tomography (CT) depends on accurate patient weight, yet manual measurements increase workload and self-reporting can introduce bias. We developed and tested a deep-learning-based algorithm to auto... read more

A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial.

BMC medical informatics and decision making Apr 11, 2026

NAIL-G: a conceptual best-fit framework for nursing ai literacy and governance anchored in socio-technical safety science.

BMC nursing Apr 11, 2026

Development of ICU nurses' compassion fatigue classification model: an explainable machine learning algorithm.

BMC nursing Apr 11, 2026

Artificial Intelligence Medical Compendium

GGAR: gradient guided adaptive regularization enhances deep learning classification of brassica species using codon usage bias.

Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.

Evaluation of large language models for VI-RADS reports: a comparative analysis of zero-shot and few-shot prompting.

A rapidly personalized in-hospital bloodstream infection prediction model: a multicenter retrospective study.

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

Evaluating large language models for endodontic case difficulty assessment: accuracy, consistency, temporal stability, and agreement.

Automated scout-image-based estimation of contrast agent dosing: a deep learning approach.

A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial.

NAIL-G: a conceptual best-fit framework for nursing ai literacy and governance anchored in socio-technical safety science.

Development of ICU nurses' compassion fatigue classification model: an explainable machine learning algorithm.

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