Artificial Intelligence Medical Compendium

BACKGROUND: Manual effort required for feature extraction from operative reports can be time-intensive, inaccurate, and costly. PURPOSE: Develop a natural language processing (NLP) algorithm for surgical spine database creation and validate performan... read more 

Alzheimer's disease (AD) is characterized by progressive cognitive decline and prominent disturbances in sleep and wakefulness, reflecting dysfunction across distributed neural networks. The zona incerta (ZI) is a highly heterogeneous subthalamic str... read more 

OBJECTIVES: To present and describe the design, data collection framework, and interim cohort characteristics of the PENIMA project, a multicentre initiative establishing a clinically annotated penile lesion image repository to support future artific... read more 

OBJECTIVES: Large language models (LLMs) are increasingly used to generate health education materials, but their suitability for patient-facing human immunodeficiency virus (HIV) education remains insufficiently evaluated. We assessed the information... read more 

BACKGROUND: Muscle ultrasound offers a portable, non-invasive, and cost-effective option for sarcopenia assessment, but operator dependency limits its standardization. Artificial intelligence (AI) may help automate and improve ultrasound-based muscle... read more 

Artificial intelligence (AI) is increasingly transforming diagnosis, treatment selection, prognostic assessment, and administrative work in medicine. Although these technologies may improve efficiency and clinical performance, their integration also ... read more 

The clinical success of immunotherapies is hindered by the absence of robust methodologies for the early and accurate assessment of antitumor immune responses. Integrating engineered biomaterials with artificial intelligence (AI)-driven molecular ima... read more 

AIM: To describe registered nurses' experiences of clinical decision-making and identify needs that may inform future development of artificial-intelligence-assisted clinical decision support systems in nursing. DESIGN: A qualitative descriptive stud... read more 

OBJECTIVES: To evaluate whether real-time artificial intelligence (AI) breast ultrasound (US) can identify a subgroup of breast imaging reporting and data system (BI-RADS) category 4A lesions without suspicious mammographic (MMG) findings in whom unn... read more 

OBJECTIVES: Real-world implementation of large language models such as ChatGPT to enhance patient education remains limited. We evaluated the feasibility, acceptability and attitudes towards a ChatGPT-based counselling tool among patients and healthc... read more