Artificial Intelligence Medical Compendium

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

Showing 47,921 to 47,930 of 224,199 articles

Improved outcomes and donor utilization in heart transplantation with 10 °C static cold storage.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
OBJECTIVE: To compare 10 °C static cold storage (SCS) with traditional ice for cardiac allograft preservation, its impact on post-transplant outcomes, and donor utilization. METHODS: We retrospectively analyzed adult heart transplants performed betwe... read more 

Ground truth data set of Gas Chromatography Mass Spectrometry (GCMS) analysed synthesised methylamphetamine.

Data in brief
Controlled substances are typically subjected to chemical analysis for the purpose of identifying them and, in certain instances, determining their purity using a comprehensive characterisation. This requires the analysis of chemical impurities that ... read more 

Accuracy and empathy of AI-based conversational chatbots in response to temporomandibular dysfunction related queries.

PEC innovation
OBJECTIVES: To compare the accuracy and empathy of responses generated by artificial intelligence (AI)-based chatbots to commonly asked temporomandibular dysfunction (TMD)-related questions. Additionally, test the performance of an automated text-bas... read more 

CodeSafetyBench evaluating and improving ethical safety in large language model code generation.

iScience
As large language models transform software development, they introduce significant ethical and safety risks, with research revealing a 78.67% probability of harmful code generation under malicious prompts. To address this, we developed CodeSafetyBen... read more 

Integrating geospatial intelligence and machine learning for flood susceptibility mapping.

Scientific reports
Flood susceptibility mapping using machine learning models and remote sensing datasets has emerged as an effective approach for identifying flood-prone areas. The main objective of this study was to evaluate flood susceptibility using five ML algorit... read more 

Predicting adverse outcomes in dilated cardiomyopathy using 3D echocardiography: penalised Cox regression versus machine learning.

BMC cardiovascular disorders
BACKGROUND: Risk prediction in dilated cardiomyopathy (DCM) remains suboptimal, and there is uncertainty about how newer machine-learning (ML) methods compare with conventional regression for clinically useful prognostic modelling. Advanced three-dim... read more 

Integrating scRNA-seq and snRNA-seq with spatial transcriptomics to unlock the xylem puzzle.

Genome biology
BACKGROUND: Xylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth. While single-cell RNA sequencing (scRNA-seq) enables reconstruction of early xylem differentiation tr... read more