Artificial Intelligence Medical Compendium

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

Showing 20,101 to 20,110 of 215,962 articles

Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.

BMC medical informatics and decision making May 12, 2026
BACKGROUND: Traditional auscultation, heavily dependent on the subjective judgment of physicians, can lead to variability in diagnoses. This study aimed to explore the application of machine learning algorithms for analyzing breath sounds in children... read more 

Machine learning-driven decision support for antibiotic optimization in typhoid fever based on patient profiles.

BMC medical informatics and decision making May 12, 2026
INTRODUCTION: Typhoid fever remains a major Global public health concern, with treatment outcomes strongly influenced by antimicrobial resistance (AMR) and inter-patient variability. Determining the most appropriate antibiotic for an individual patie... read more 

Designing machine learning-based models to predict residual pain after functional treatment of acute lateral ankle ligamentous sprains.

Journal of orthopaedic surgery and research May 12, 2026
BACKGROUND: Machine learning (ML) has emerged as a transformative approach for outcome prediction in diverse disease contexts. This study sought to construct a prognostic prediction model leveraging ML algorithms and to elucidate risk factors linked ... read more 

AI-driven multimodal simulation for psychiatric clinical education: conceptual framework and preliminary validation of the cognitive core.

BMC medical education May 12, 2026
BACKGROUND: The global shortage of psychiatrists limits learners' exposure to authentic patient encounters. Simulation can support scalable deliberate practice; however, standard virtual patients may under-represent non-verbal and paralinguistic cues... read more 

Do predictors of motor recovery differ between robotic and conventional post-stroke rehabilitation?

Journal of neuroengineering and rehabilitation May 12, 2026
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate patient characteristics that predict response to robot-assisted therapy. Recent advancements in mac... read more 

Interpretable machine learning for predicting in-hospital mortality in COPD ICU patients: a rigorous validation across time and geography.

Respiratory research May 12, 2026
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common reason for admission to the intensive care unit (ICU), where accurate risk stratification is crucial for clinical decision-making. This study aimed to develop and validate machine l... read more 

Development and external validation of an interpretable early prediction model for acute kidney injury using TabPFN and routine admission data: a retrospective cohort study.

BMC medical informatics and decision making May 12, 2026
BACKGROUND: Acute kidney injury (AKI) is a common and serious complication among hospitalized patients, and early risk stratification remains challenging due to heterogeneous clinical data and limited interpretability of existing prediction models. F... read more 

Benchmarking large language models in breast cancer care: agreement with radiology-led multidisciplinary tumor board decisions.

BMC medical informatics and decision making May 12, 2026
BACKGROUND: Multidisciplinary tumor boards (MDTBs) play a central role in breast cancer management by integrating imaging findings with clinical and pathological information to guide treatment decisions. The increasing integration of artificial intel... read more 

Attitudes toward artificial intelligence in nursing education, research, and clinical practice: a cross-sectional survey of Iranian faculty, nurses, and students.

BMC nursing May 12, 2026
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, offering opportunities to enhance accuracy, efficiency, and personalized care in nursing. However, successful integration depends on the attitudes and readiness of nursing p... read more 

Integrative analysis of the mouse cecal microbiome across diet, age, and weight in the diverse BXD population.

Microbiome May 12, 2026
BACKGROUND: The gut microbiota adapts to and shapes the host's metabolic state through affecting circulating metabolites and consequent gene regulatory networks, resulting in systemic influences in diverse organs via connections such as the gut-liver... read more 
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