Artificial Intelligence Medical Compendium

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

Showing 1,441 to 1,450 of 213,568 articles

Regularization effects on machine learning models for relative humidity prediction under semi-arid climate conditions.

Scientific reports
In semi-arid regions, daily relative humidity exhibits strong nonlinear and regime-dependent variability, which limits the robustness of conventional predictive approaches. This study investigates the influence of regularization on predictive stabili... read more 

Keypoint detection and functional evaluation of human lower limbs based on YOLOv8 and HRNet.

Scientific reports
With the development of artificial intelligence and deep learning technology, human pose estimation has been widely applied in fields such as medical rehabilitation and motion analysis. To meet the needs of objective assessment of lower limb function... read more 

A deep-learning based gait classification and anomaly detection framework for healthcare surveillance.

Scientific reports
Gait classification and anomaly detection are non-intrusive approaches that can support healthcare surveillance and clinical gait analysis by identifying abnormal walking patterns. Despite recent advancements, existing methods remain limited by model... read more 

Development and validation of an interpretable machine learning model for predicting in-hospital mortality among critically ill patients with liver cirrhosis.

Scientific reports
This study aimed to develop and validate an interpretable machine learning model for early prediction of in-hospital mortality in critically ill patients with liver cirrhosis to optimize risk stratification and individualized clinical intervention. A... read more 

Deep learning-based automatic measurement of spinal alignment and implant detection in scoliosis radiographs.

NPJ digital medicine
Deep learning-based automated analysis offers the potential to streamline workflows, improve reproducibility, and reduce clinician workload. We developed an artificial intelligence (AI) system based on convolutional neural networks to automatically m... read more 

Prediction of bronchopulmonary dysplasia seven days after birth using respiratory and oxygenation timeseries with machine learning.

Pediatric research
BACKGROUND: Accurate prediction of bronchopulmonary dysplasia (BPD) development would allow targeted early treatment. This study aims to develop a machine learning (ML) model incorporating respiratory and oxygenation timeseries to predict BPD develop... read more 

The future of pediatric gene therapy: CRISPR-Cas9, AI, and personalized medicine.

Pediatric research
The future of pediatric gene therapy is being fundamentally reshaped by the convergence of CRISPR-Cas9 genome editing, artificial intelligence (AI), and personalized medicine, providing unprecedented opportunities for the treatment of rare and previo... read more 

MTDRA-Net: graph-temporal neural network for dynamic evaluation of college students' responsibility.

Scientific reports
Responsibility awareness is a core psychological trait in higher education, yet traditional scale assessments suffer from low stability and limited structural interpretability. This study proposes the Multi-Task Dynamic Responsibility Awareness Netwo... read more 

Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.

Herz
BACKGROUND: Hypertension remains the leading modifiable risk factor for cardiovascular morbidity and mortality worldwide, with persistently inadequate blood pressure control despite guideline-directed therapy. The rapid expansion of digital health da... read more