Artificial Intelligence Medical Compendium

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

Showing 62,491 to 62,500 of 230,507 articles

Combining mass spectrometry and machine learning models for predicting Klebsiella pneumoniae antimicrobial resistance: a multicenter experience from clinical isolates in Italy.

BMC microbiology
BACKGROUND: Multidrug-resistant Klebsiella pneumoniae represents a significant challenge in healthcare settings, prompting numerous studies on the rapid detection of antimicrobial resistance. Mass spectrometry has been recently integrated into routin... read more 

A machine learning-based predictive model for mandibular third molar extraction difficulty: incorporating multimodal features and SHAP analysis.

BMC oral health
OBJECTIVES: This study aimed to establish a rapid and accurate predictive model for mandibular third molar (MM3) extraction difficulty based on machine learning and multimodal parameters. METHODS: A dataset was constructed by integrating clinical cha... read more 

Estimation of IPSS and OABSS scores using ChatGPT-4o: a comparative validation study in Korea.

BMC urology
PURPOSE: To evaluate the performance of ChatGPT-4o in estimating International Prostate Symptom Score (IPSS) and Overactive Bladder Symptom Score (OABSS) based on patients' natural language descriptions and full outpatient records, compared to actual... read more 

EEG microstate features under visual feedback gain conditions exhibit high sensitivity in identifying early Parkinson's disease patients.

Journal of neuroengineering and rehabilitation
BACKGROUND: Early Parkinson's disease (PD) presents with subtle symptoms and lacks specific diagnostic methods. Clinical diagnosis primarily relies on subjective assessment, with confirmation often occurring at mid-to-late stages. Therefore, identify... read more 

Artificial intelligence for early diagnosis in emergency department.

Journal of anesthesia, analgesia and critical care
In recent years, artificial intelligence (AI) has become an increasingly prominent player in emergency medicine, offering innovative tools to enhance the early diagnosis of acute conditions. This systematic review explores how AI, particularly throug... read more 

Multimodal imaging of acquired aortic diseases: clinical efficacy, comparative analysis, and future perspectives.

The international journal of cardiovascular imaging
Aortic diseases, particularly acute aortic syndromes (AAS) and aortic aneurysms (AA), represent critical cardiovascular conditions with high mortality rates requiring precise imaging for diagnosis and management. This review provides a comprehensive ... read more