Results 61 to 70 of about 21,035 (244)

Perceptions of Iranian dental students versus laypeople to altered smile esthetics: A cross-sectional study

Journal of Education and Health Promotion
BACKGROUND: The aim of this research is to explore the perceptions of an attractive smile among dentists and nonprofessionals by analyzing digitally altered smile images. MATERIALS AND METHODS: The study involved two evaluation groups: 50 dental students
Zeinab Bahrani, Zeynab Afzali, Sepehr Ghasemipour, Hossein Bahrani   +3 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

7 Jahre SMILE-Komplikationen – immer noch SMILING?

, 2020
Hintergrund: Seit 7 Jahren führen wir SMILE-Operationen durch. Alle Operationen werden ausnahmslos per Video aufgezeichnet. Methoden: Alle Videos (geplante Behandlung: 2.165 Augen; 100%; abgeschlossene Behandlung: 2.143 Augen; 98,98%) wurden ab dem ersten Fall ausnahmslos nacheinander[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Breyer, DRH, Kaymak, H, Klabe, K, Breyer-Pacurar, A, Kirca, M, Beckers, L, Kretz, F, Auffarth, GU   +7 more
openaire   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects

Journal of Medical Signals and Sensors
Artificial intelligence (AI) has become increasingly prevalent and significant across many industries, including the dental field. AI has shown accuracy and precision in detecting, evaluating, and predicting diseases. It can imitate human intelligence to
M. S. Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S. Gowda, Sahana Patil   +4 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Decoding Humor-Induced Amusement via Facial Expression Analysis: Toward Emotion-Aware Applications

Applied Sciences
Humor is widely recognized for its positive effects on well-being, including stress reduction, mood enhancement, and cognitive benefits. Yet, the lack of reliable tools to objectively quantify amusement—particularly its temporal dynamics—has limited ...
Gabrielle Toupin, Arthur Dehgan, Marie Buffo, Clément Feyt, Golnoush Alamian, Karim Jerbi, Anne-Lise Saive   +6 more
doaj   +1 more source

Training Approach-Avoidance of Smiling Faces Affects Emotional Vulnerability in Socially Anxious Individuals

Frontiers in Human Neuroscience, 2013
Previous research revealed an automatic behavioral bias in high socially anxious individuals (HSAs): Although their explicit evaluations of smiling faces are positive, they show automatic avoidance of these faces. This is reflected by faster pushing than
Mike eRinck, Sibel eTelli, Isabel eKampmann, Marcella L. Woud, Merel eKerstholt, Sarai ete Velthuis, Matthias eWittkowski, Eni S Becker   +7 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source