Artificial Intelligence Medical Compendium

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

Showing 4,371 to 4,380 of 203,842 articles

From metabolic reprogramming to diagnostic tool: A machine learning framework identifies biomarkers for soil microplastic stress in rice.

Journal of hazardous materials
As emerging environmental contaminants, microplastics (MPs) increasingly infiltrate agricultural ecosystems, threatening crop safety and productivity. While the phytotoxic effects of MPs on plants like rice are becoming apparent, a significant gap ex... read more 

Advancing radiotherapy with deep Learning: A review of dose prediction models.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
BACKGROUND: Artificial intelligence (AI), especially deep learning algorithms, holds significant promise in transforming radiation therapy by enabling more precise, personalized, and efficient treatment planning. In particular, deep learning models h... read more 

On-device cough detection and respiratory disease classification enhanced by generative data augmentation.

Computers in biology and medicine
BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphones. Existing approaches typically focus solely on cough detection or rely on server-based deep learn... read more 

The effect of artificial intelligence assisted evidence-based nursing on psychological distress relief and nursing satisfaction of patients with respiratory diseases.

Heart & lung : the journal of critical care
BACKGROUND: Patients with respiratory diseases commonly experience psychological distress. Traditional evidence‑based nursing is limited in personalized and dynamic care. OBJECTIVES: To evaluate whether AI‑assisted evidence‑based nursing reduces psyc... read more 

Investigating heterogeneous human factor effects on crash severity: A counterfactual study in mountainous freeways.

Accident; analysis and prevention
Accurately estimating the causal effect of human factors on crash severity in mountainous freeways is pivotal for developing effective safety strategies. Although previous studies have investigated human factors, they typically focus on estimating av... read more 

Integrating risk prioritization and interpretable machine learning to inform PFAS management in an urban aquatic system.

Journal of environmental management
Per- and polyfluoroalkyl substances (PFASs) pose persistent challenges to urban environmental management due to their complex sources, ongoing substitution, and contrasting behavior across environmental media. This study assessed the contamination ch... read more 

AmygdalaGo-BOLT for boundary-aware segmentation of the human amygdala.

Cell reports methods
Tracing the boundaries of the amygdala from brain images remains a major challenge in human neuroscience. Although large-scale neuroimaging studies increasingly collect thousands of scans to investigate structural development in children and adolesce... read more 

Denoising of low-dose chest computed tomography images using a U-net based convolutional Autoencoder and transfer learning.

Biomedical physics & engineering express
Low-Dose Computed Tomography (LDCT) is a widely used imaging modality to perform CT examinations with a reduced radiation exposure to patients, but it is affected by increased image noise and artifacts with respect to standard dose imaging, which can... read more 

Evaluating the biological meaning of neural network decisions in EEG-based MCI detection.

Journal of neural engineering
OBJECTIVE: High accuracy in medical classification tasks does not ensure that neural networks reason in ways consistent with clinical or neurobiological understanding. This study examines whether a Vision Transformer (ViT) trained on resting-state EE... read more 

Assessing the Accuracy and Reliability of ChatGPT-4 to Answer Clinical EHR Messages in Sports Medicine.

Southern medical journal
OBJECTIVES: Although advancements in electronic health records (EHRs) have improved clinical productivity, digital administrative responsibilities have led to increased physician burnout. With the emergence of large language models (LLMs), their inco... read more