Artificial Intelligence Medical Compendium

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

Showing 30,891 to 30,900 of 220,177 articles

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.

BMJ open
OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most interactions, however, come from non-experts using chatbots like search engines, including for every... read more 

Predicting Nosocomial Infections in Hematologic Patients: A Machine Learning Model Based on Dynamic Body Temperature Trajectories.

Journal of clinical nursing
AIMS: To identify body temperature dynamic patterns and develop a machine learning model for the early detection of nosocomial infections. DESIGN: A retrospective and observational study of patients hospitalised in the haematology department of the C... read more 

Thermodynamically consistent machine learning model for excess Gibbs energy.

Nature communications
The excess Gibbs energy plays a central role in chemical engineering and chemistry, providing a basis for modeling thermodynamic properties of liquid mixtures. Predicting the excess Gibbs energy of multi-component mixtures solely from molecular struc... read more 

Revealing the hidden third dimension of point defects in two-dimensional MXenes.

Nature communications
Point defects govern many important functional properties of two-dimensional (2D) materials. However, resolving the three-dimensional (3D) arrangement of these defects in multi-layer 2D materials remains a fundamental challenge, hindering rational de... read more 

Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

Nature communications
Three-dimensional genome organization controls cell-type-specific gene expression through chromatin interactions, yet systematic analysis across diverse cellular contexts remains limited by experimental constraints. Here we present Hi-Compass, a dept... read more 

KIMMDY: a biomolecular reaction emulator.

Nature communications
Molecular simulations have become indispensable in biological research. Their accuracy continues to improve, but directly modelling biochemical reactions - central to all life processes - remains computationally challenging. Here, we present a biomol... read more 

Machine learning driven discovery of low modulus biomedical titanium alloys for additive manufacturing.

Nature communications
Designing alloys for additive manufacturing opens opportunities for next-generation biomedical orthopaedic implants. However, most biomedical alloys currently in use are legacy compositions that cannot fully harness the potential of additive manufact... read more 

Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries.

Scientific reports
Energy storage batteries are essential for stabilizing renewable energy systems and improving power grid efficiency. However, challenges such as capacity degradation, limited data quality, and the need for real-time evaluation highlight the importanc... read more 

Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative.

Scientific data
We present a large whole-body and total-body curated dataset of dual-modality 2-deoxy-2-[18F]fluoro-D-glucose (FDG)-Positron Emission Tomography/Computed Tomography (PET/CT) studies, consisting of 1,683 PET/CT images and the corresponding CT-derived ... read more