AI Medical Compendium

Artificial intelligence-based image recognition in bronchoscopy: software development and randomized controlled trial for training evaluation in intensive care residents.

BMC medical education Feb 24, 2026

Who's at risk for emergent depression years later? Predictive modeling in a nine-year longitudinal cohort.

BMC psychiatry Feb 24, 2026

Mapping factors associated with nurses' attitudes toward artificial intelligence: a scoping review.

BMC nursing Feb 24, 2026

Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BMC medical informatics and decision making Feb 24, 2026

Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks.

BMC medical informatics and decision making Feb 24, 2026

BACKGROUND: Real-world evaluation of large language models (LLMs) as clinical diagnostic aids is limited by the reliance on static vignettes and retrospective data, which inadequately reflect the dynamic, iterative nature of clinical decision-making ... read more

Development and validation of machine learning-based risk prediction models of coronary artery disease using Porphyromonas gingivalis concentration.

BMC oral health Feb 24, 2026

Performance comparison and future perspectives of deep learning and classical machine learning in bone tumor applications: a systematic review (2019-2025).

BMC medical informatics and decision making Feb 24, 2026

Comparison of large language models for clinical scenario generation in medical education: a mixed-methods study.

BMC medical education Feb 24, 2026

BACKGROUND: In undergraduate medical education, the ability to manage clinical-cases is a core competency expected of future physicians. Traditionally, this skill is developed through repeated exposure to real patient encounters in clinical settings.... read more

Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.

Journal of neuroengineering and rehabilitation Feb 24, 2026

NetG2P: Network-based genotype-to-phenotype transformation identifies key signaling crosstalk for prognosis in pan-cancer study.

BMC biology Feb 24, 2026

BACKGROUND: Despite advances in whole-genome sequencing and identifying cancer-associated genetic alterations, understanding the influence of multiple genetic alterations collectively on cancer phenotypes remains challenging, owing to mutation patter... read more

Artificial Intelligence Medical Compendium

Artificial intelligence-based image recognition in bronchoscopy: software development and randomized controlled trial for training evaluation in intensive care residents.

Who's at risk for emergent depression years later? Predictive modeling in a nine-year longitudinal cohort.

Mapping factors associated with nurses' attitudes toward artificial intelligence: a scoping review.

Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks.

Development and validation of machine learning-based risk prediction models of coronary artery disease using Porphyromonas gingivalis concentration.

Performance comparison and future perspectives of deep learning and classical machine learning in bone tumor applications: a systematic review (2019-2025).

Comparison of large language models for clinical scenario generation in medical education: a mixed-methods study.

Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.

NetG2P: Network-based genotype-to-phenotype transformation identifies key signaling crosstalk for prognosis in pan-cancer study.

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Artificial Intelligence Medical Compendium

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