Using artificial intelligence chatbots to improve patient history taking in dental education (Pilot study).

J Dent Educ

School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Published: December 2024

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11674993PMC
http://dx.doi.org/10.1002/jdd.13591DOI Listing

Publication Analysis

Top Keywords

artificial intelligence
4
intelligence chatbots
4
chatbots improve
4
improve patient
4
patient history
4
history dental
4
dental education
4
education pilot
4
pilot study
4
artificial
1

Similar Publications

Adjustment of Molecular Sorption Equilibrium on Catalyst Surface for Boosting Catalysis.

Acc Chem Res

January 2025

Key Lab of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.

ConspectusFor chemical reactions with complex pathways, it is extremely difficult to adjust the catalytic performance. The previous strategies on this issue mainly focused on modifying the fine structures of the catalysts, including optimization of the geometric/electronic structure of the metal nanoparticles (NPs), regulation of the chemical composition/morphology of the supports, and/or adjustment of the metal-support interactions to modulate the reaction kinetics on the catalyst surface. Although significant advances have been achieved, the catalytic performance is still unsatisfactory.

View Article and Find Full Text PDF

Context-dependent similarity analysis of analogue series for structure-activity relationship transfer based on a concept from natural language processing.

J Cheminform

January 2025

Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, University of Bonn, Friedrich-Hirzebruch-Allee 5/6, 53115, Bonn, Germany.

Analogue series (AS) are generated during compound optimization in medicinal chemistry and are the major source of structure-activity relationship (SAR) information. Pairs of active AS consisting of compounds with corresponding substituents and comparable potency progression represent SAR transfer events for the same target or across different targets. We report a new computational approach to systematically search for SAR transfer series that combines an AS alignment algorithm with context-depending similarity assessment based on vector embeddings adapted from natural language processing.

View Article and Find Full Text PDF

MultiChem: predicting chemical properties using multi-view graph attention network.

BioData Min

January 2025

Department of Computer Science, Hanyang University, Seoul, Republic of Korea.

Background: Understanding the molecular properties of chemical compounds is essential for identifying potential candidates or ensuring safety in drug discovery. However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. Recent advances in deep learning approaches have offered deeper insights into molecular structures.

View Article and Find Full Text PDF

Combination of rapamycin and adipose-derived mesenchymal stromal cells enhances therapeutic potential for osteoarthritis.

Stem Cell Res Ther

January 2025

IRMB, Univ Montpellier, INSERM, CHU St Eloi, 80 AV A Fliche, 34295-Cedex-05, Montpellier, France.

Background: The regenerative potential of mesenchymal stromal/stem cells (MSCs) has been extensively studied in clinical trials in the past decade. However, despite the promising regenerative properties documented in preclinical studies, for instance in osteoarthritis (OA), the therapeutic translation of these results in patients has not been fully conclusive. One factor contributing to this therapeutic barrier could be the presence of senescent cells in OA joints.

View Article and Find Full Text PDF

Recent advances in recombinant production of soluble proteins in E. coli.

Microb Cell Fact

January 2025

Lab of Environmental and Life Sciences, University of Nova Gorica, Vipavska cesta 13, Nova Gorica, 5000, Slovenia.

Background: E. coli still remains the most commonly used organism to produce recombinant proteins in research labs. This condition is mirrored by the attention that researchers dedicate to understanding the biology behind protein expression, which is then exploited to improve the effectiveness of the technology.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!