Artificial Intelligence Medical Compendium

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

Showing 69,471 to 69,480 of 233,923 articles

Diagnostic performance of artificial intelligence for facial fracture detection: a systematic review.

Oral radiology
OBJECTIVE: To evaluate the diagnostic performance of artificial intelligence (AI) models for detecting facial bone fractures on computed tomography (CT), cone-beam CT (CBCT), and plain radiographs. METHODS: Original studies applying machine learning ... read more 

Interpretable machine learning model based on blood parameters for screening high myopia.

Eye (London, England)
OBJECTIVE: To develop an interpretable machine learning (ML) model using routine blood parameters for high myopia (HM) screening as a convenient and cost-effective alternative to traditional methods. METHODS: This cross-sectional study enrolled 313 p... read more 

Current status and future directions for the use of artificial intelligence in pediatric critical care nephrology.

Pediatric nephrology (Berlin, Germany)
Artificial intelligence (AI) has the potential to significantly improve the practice of medicine. However, its application in pediatric critical care nephrology remains underdeveloped. This scoping review investigates the current state of AI/machine ... read more 

Analysis of main aroma components of Zherong white tea and establishment of machine learning model for sensory evaluation.

Journal of the science of food and agriculture
BACKGROUND: Zherong white tea, a distinctive specialty from Fujian Province, has attracted significant consumer attention due to its unique aroma and flavor profile. In this study, we utilized advanced analytical techniques and chemometric methods to... read more 

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review.

Journal of clinical nursing
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, holds great potential to enhance nurses' daily work if implemented systematically, paving the way for a ... read more 

Automated Recognition and Measurement for Levator Hiatus in 3D Ultrasound: A Clinical Study in Postpartum Women.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To evaluate the performance of a CNN-based (convolutional neural networks-based) AI software for automatic recognition and measurement of minimal levator hiatus in transperineal ultrasound volumes from postpartum women, and to assess its ... read more 

Unveiling and interpreting the relationships among multi-pollutant emission factors in municipal solid waste incineration by machine learning.

Waste management (New York, N.Y.)
Effective control of key parameters is critical for regulating pollutant emissions in municipal solid waste incineration (MSWI), but existing research on these parameters remains limited and lacks comprehensiveness. This study used over 600,000 indus... read more 

An innovative AI-based dual segmentation application for head surgery.

International journal of oral and maxillofacial surgery
Accurate anatomical segmentation in computed tomography (CT) imaging is vital for diagnostics and virtual surgical planning in head and neck surgery, yet manual methods remain time-consuming and inconsistent. This study presents a dual-model artifici... read more 

A machine learning-based assessment strategy for Artemisia argyi Folium: Exploring the dose-effect relationship between anti-inflammatory activity and chemical composition.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Artemisia argyi Folium (AAF) has been traditionally used for its medicinal properties, and understanding its anti-inflammatory activity across different regions is crucial for its effective application in herbal medici... read more