Artificial Intelligence Medical Compendium

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

Showing 60,201 to 60,210 of 228,072 articles

Configurational effects of personal innovativeness, self-efficacy, and perceived risk on AI adoption in media students.

Scientific reports
Generative artificial intelligence (G-AI) is driving systemic transformations in the media industry, redefining the cultivation paradigm of media majors in higher education. This shift necessitates that future media professionals integrate AI thinkin... read more 

Machine learning-based evaluation of shear strength factors in soil-rock mixtures for mountain substation fills.

Scientific reports
Soil-rock mixtures (SRMs) are crucial in assessing foundation bearing capacity and slope stability in mountain substation projects, yet their complex mechanical properties pose significant challenges. Current research primarily focuses on the influen... read more 

Fully closed-loop systems: can people with type 1 diabetes just do it? Insights from open-source systems.

Diabetologia
Automated insulin delivery (AID) systems have significantly advanced diabetes management, progressively reducing user interactions required for optimal glucose management. This review evaluates the current landscape and future potential of AID system... read more 

Modeling regional mean sea level based on climate measurements using a stacked ensemble approach.

Environmental monitoring and assessment
Assessing changes in mean sea level (MSL) has become increasingly critical due to the significance of climate changes. Soft computing techniques are now widely used to reduce the time and cost associated with traditional MSL estimation methods. Histo... read more 

The DNA dialect: a comprehensive guide to pretrained genomic language models.

Molecular systems biology
Following their success in natural language processing and protein biology, pretrained largeĀ language models have started appearing in genomics in large numbers. These genomic language models (gLMs), trained on diverse DNA and RNA sequences, promise ... read more 

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