Artificial Intelligence Medical Compendium

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

Showing 4,711 to 4,720 of 174,202 articles

Deep learning approach for screening neonatal cerebral lesions on ultrasound in China.

Nature communications Aug 20, 2025
Timely and accurate diagnosis of severe neonatal cerebral lesions is critical for preventing long-term neurological damage and addressing life-threatening conditions. Cranial ultrasound is the primary screening tool, but the process is time-consuming... read more 
China Ultrasonography Male Deep Learning Neonatal Screening Humans Brain Female Infant, Newborn

The prediction models for the optimal timing of surgical intervention for necrotizing enterocolitis: nomogram vs. five machine learning models.

Pediatric surgery international Aug 20, 2025
BACKGROUND: Necrotizing enterocolitis (NEC) is one of the most common diseases that pose serious threats to the life of newborns. In clinical practice, NEC is typically treated by surgical intervention, but it is still difficult to identify the timin... read more 
Female Humans Infant, Newborn Time-to-Treatment Machine Learning Male Enterocolitis, Necrotizing Retrospective Studies Nomograms

Proof-of-concept evaluation at Cox's Bazar of the Safe Water Optimization Tool: water quality modelling for safe water supply in humanitarian emergencies.

BMJ global health Aug 20, 2025
INTRODUCTION: Waterborne diseases are leading concerns in emergencies. Humanitarian guidelines stipulate universal water chlorination targets, but these fail to reliably protect water as postdistribution chlorine decay can leave water vulnerable to p... read more 
Water Purification Emergencies Humans Water Supply Halogenation Waterborne Diseases Water Quality Proof of Concept Study Chlorine

Convolutional slime mold deep learning model for diagnosis of PD.

Computer methods in biomechanics and biomedical engineering Aug 20, 2025
The proposed study aims to develop an efficient PD detection scheme using a novel optimized deep learning mechanism. Initially, the input multiple human voice recordings are pre-processed to lessen the unwanted noises. Then, the relevant features are... read more 

Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning.

Scientific reports Aug 20, 2025
Antimicrobial resistance is a growing global health threat, and artificial intelligence offers a promising avenue for developing advanced tools to address this challenge. In this study, we applied various machine learning techniques to predict bacter... read more 
Microbial Sensitivity Tests Genotype Bacteria Drug Resistance, Bacterial Humans Phenotype Machine Learning Anti-Bacterial Agents

xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides.

Journal of cheminformatics Aug 20, 2025
Bitter peptides (BPs), derived from the hydrolysis of proteins in food, play a crucial role in both food science and biomedicine by influencing taste perception and participating in various physiological processes. Accurate identification of BPs is e... read more 

Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog... read more 
Young Adult Memory, Short-Term Machine Learning Pupil Adult Attention Female Arousal Male Emotions Cognition Humans

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025
Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more 
Support Vector Machine Stroke Logistic Models Humans Aged Male Middle Aged Risk Assessment Female Risk Factors Machine Learning Retrospective Studies

Attention-based deep learning network for predicting World Health Organization meningioma grade and Ki-67 expression based on magnetic resonance imaging.

European radiology Aug 20, 2025
OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 expression is crucial for treatment strategies. We aimed to develop a fully automated attention-based deep learning network to predict WHO meningioma ... read more 

Artificial Intelligence Applications in Healthcare: A Systematic Review of Their Impact on Nursing Practice and Patient Outcomes.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Aug 20, 2025
BACKGROUND: Artificial Intelligence is revolutionizing healthcare by addressing complex challenges and enhancing patient care. AI technologies, such as machine learning, natural language processing, and predictive analytics, offer significant potenti... read more 
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