Artificial Intelligence Medical Compendium

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

Showing 41,431 to 41,440 of 223,853 articles

Can Artificial Intelligence Chatbots (ChatGPT, DeepSeek, Copilot, and Claude) Accurately Inform Patients About Subperiostal Jaw Implants?

The Journal of craniofacial surgery
BACKGROUND: Severe jawbone atrophy often limits the use of conventional dental implants. Modern 3D imaging and CAD/CAM technologies have revitalized subperiosteal implants as a customized alternative for these challenging cases. As AI chatbots (ChatG... read more 

Ew! Yuck! Ugh! Nonverbal vocalizations of pathogen and moral disgust.

Emotion (Washington, D.C.)
Nonverbal vocalizations like "Ew!" and "Ugh!" are often used to communicate disgust. While disgust evolved primarily to promote the avoidance of pathogens (pathogen disgust), it is also expressed toward moral violations (moral disgust). In this study... read more 

The Effect of ChatGPT-Assisted Medication Dosage Calculation Training on Accuracy, Time, and Learning Satisfaction Among Nursing Students: A Quasi-Experimental Study.

Computers, informatics, nursing : CIN
Medication dosage calculation is a vital clinical skill essential for patient safety. However, many nursing students experience difficulties mastering this competency due to mathematical anxiety and limited practice. Artificial intelligence (AI)-base... read more 

Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans.

Current opinion in nephrology and hypertension
PURPOSE OF REVIEW: The degree to which computerized methods, such as artificial intelligence (AI), will aid in the assessment of kidney histopathology is undergoing intense study and application; and this is particularly true for interstitial fibrosi... read more 

Toward Reaction Vessel Mimicry: Machine Learning-Assisted Automated Exploration of Alkene Polymerization and Its Transferability.

Journal of chemical theory and computation
Automated reaction path network exploration and product identification through kinetic analysis are essential for mimicking real reaction vessels. A common practice involves using inexpensive semiempirical methods for initial exploration, followed by... read more 

High-Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million-Patient Diabetes Cohort.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Synthetic patient data offer a promising avenue for clinical research, but their usefulness depends on preserving statistical fidelity, biomedical plausibility, and patient privacy. To address this, a dual adversarial autoencoder is employed to gener... read more 

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Journal of medicinal chemistry
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppressive tumor microenvironment. Inducing immunogenic cell death (ICD), a regulated form of cell death ... read more 

Identification of nonconvulsive status epilepticus in the ictal-interictal continuum using artificial intelligence: a prospective observational cohort study.

Encephalitis (Seoul, Korea)
PURPOSE: This study aims to investigate differences in functional connectivity between patients on the ictal-interictal continuum (IIC) with nonconvulsive status epilepticus (NCSE) versus those with coma-IIC, and to evaluate whether machine learning ... read more 

Hydroxylation Mechanism of Hydroxyapatite Nucleation with Aspartate Assistance under Confinement Revealed by Machine Learning Molecular Dynamics.

The journal of physical chemistry. B
Hydroxyapatite (HAp) nucleation requires incorporation of hydroxyl (OH), yet how hydroxylation emerges, and OH groups become stabilized during Ca-P assembly, particularly under nanoconfinement and with organic molecules, remains unclear. Here, we emp... read more 

Enhancing Retrosynthesis Prediction with Distillation Learning.

Journal of chemical information and modeling
Single-step retrosynthesis prediction aims to identify reactants for synthesizing a target molecule and is crucial for pathway planning. Despite improved prediction accuracy, existing methods often struggle with performance disparities between high- ... read more