Artificial Intelligence Medical Compendium

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

Showing 52,131 to 52,140 of 225,279 articles

Memristive Reservoir Computing Circuit for Real-Time Prediction of Epilepsy.

IEEE transactions on biomedical circuits and systems
The prediction of epileptic seizures can significantly improve patients' quality of life by enabling timely preventive interventions. However, realizing automated real-time prediction on edge hardware remains challenging due to high computational com... read more 

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency.

IEEE transactions on pattern analysis and machine intelligence
Despite the fast progress of deep learning, one standing challenge is the gap of the observed training samples and the underlying true distribution. There are multiple reasons for the causing of this gap e.g., sampling bias, noise etc. In the era of ... read more 

Carboxymethyl Cellulose/Sodium Lignosulfonate Composite Hydrogel with Toughness, Adhesiveness, and Antibacterial Properties for Monitoring Respiration in Heart Failure Patients.

ACS applied materials & interfaces
The advancement of personalized medicine is increasingly reliant on wearable health monitoring technologies. While hydrogels offer great promise for skin-integrated sensors due to their biocompatibility, flexibility, and conductivity, developing mate... read more 

Bridging the Gap Between Potential and Practice: An Integrative Review of Generative Artificial Intelligence in Nursing.

Computers, informatics, nursing : CIN
BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health care, particularly with the integration of large language models (LLMs) into electronic health record (EHR) systems. These tools have the potential to... read more 

Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study.

JMIR formative research
BACKGROUND: Effective diabetes management requires individualized treatment strategies tailored to patients' clinical characteristics. With recent advances in artificial intelligence, large language models (LLMs) offer new opportunities to enhance cl... read more 

Evaluating GPT-4 Performance on Plastic Surgery Oral Examination Vignettes: A Quantitative and Qualitative Analysis.

Annals of plastic surgery
BACKGROUND: The use of artificial intelligence (AI) in medicine is rapidly evolving. However, its role in plastic and reconstructive surgery remains underexplored. Plastic surgery requires nuanced, dynamic decision making, and individualized care, ma... read more 

Enhancing readability and understandability of vascular surgery discharge summaries using artificial intelligence.

Vascular
ObjectivesThis study aimed to assess whether Large Language Models (LLMs), like ChatGPT-4, could simplify discharge summaries for vascular surgery patients while maintaining accuracy and completeness, ultimately improving patient comprehension and en... read more 

Fixing Work, Not Workers: Leveraging AI to Combat Burnout in Canadian Healthcare.

Healthcare management forum
Burnout among healthcare workers in Canada remains a critical challenge with implications for workforce retention, patient safety, and system sustainability. Traditional responses have often emphasized individual coping strategies rather than structu... read more 

Clinical Impact of Artificial Intelligence-Augmented Lymph Node Evaluation in Metastatic Gastric, Colorectal, and Breast Cancer.

Archives of pathology & laboratory medicine
CONTEXT.—: Lymph node (LN) assessment plays a critical role in cancer staging and prognosis but remains a time-consuming and labor-intensive task in pathology. While artificial intelligence (AI) tools have shown promise in improving diagnostic accura... read more 

AI in Healthcare: How Relevant to Medical Risk Selection?

Journal of insurance medicine (New York, N.Y.)
The role of artificial intelligence (AI) in biologic discovery, and in the practice of medicine is rapidly increasing. AI-assisted analyses of large databases are leading to impressive biologic discoveries and AI-diagnostics are beginning to change c... read more