Artificial Intelligence Medical Compendium

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

Showing 69,611 to 69,620 of 234,067 articles

An Algorithm to Avoid Missed Bowel Injuries in Blunt Abdominal Trauma Patients.

The American surgeon
UNLABELLED: Bowel injuries following blunt abdominal trauma (BAT) are evasive to detect clinically and with current imaging modalities. These injuries require immediate recognition and operative intervention. Short diagnostic delays can result in sig... read more 

MRI-Based Radiomics Model for Classifying Axillary Lymph Node Burden and Disease-Free Survival in Patients With Early-Stage Breast Cancer.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Axillary lymph node (ALN) burden is a key prognostic determinant in breast cancer and plays an important role in diagnosis and treatment planning. The noninvasive assessment of ALN burden might improve patient stratification and guide ind... read more 

Industrial engineering solutions enhance operational efficiency in human and veterinary hospitals: a scoping review.

American journal of veterinary research
Human and veterinary healthcare systems face many parallel challenges, yet opportunities for cross-sectoral learning remain underexplored. This scoping review aimed to compare healthcare delivery in both domains, highlighting operational inefficienci... read more 

Automated Classification of the Consequences of a Slip During Walking Using a Machine Learning Approach.

Journal of applied biomechanics
This study applied decision-tree (DT) machine learning models to determine whether this approach is more accurate when classifying slip outcome during walking, and to refine the cutoff thresholds of each slip type. Kinematic data of the heel were col... read more 

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