Abstract Digital therapeutics (DTx) represent an emerging category of evidence-based healthcare interventions that use software to prevent, manage, or treat diseases and disorders. Unlike conventional wellness applications, DTx are designed around therapeutic objectives and are expected to demonstrate clinical benefits...
Zahid Hussain· Zenodo (CERN European Organi...· 0 citations
It is concluded that autonomous UAV operations necessitate a fundamental shift toward Trustworthy and Explainable AI (XAI), coupled with high-fidelity digital twin validation, to guarantee system stability in safety-critical domains.
Kai-Yi Chen· Applied and Computational En...· 0 citations
This narrative review provides insights into AIS in prosthodontics and their applications, which offer significant capabilities, such as in diagnostic and treatment planning support, optimisation of prosthetic design, improved efficiency of digital workflows and enhanced patient communication.
Marjorie Faure, C. Millet, Raphaël Richert et al.· Australian dental journal· 0 citations
Examination of nurses' ethical awareness, attitudes, anxiety, and intention to use AI among 414 registered nurses in a large Middle Eastern healthcare organization supports targeted education and organizational strategies for responsible AI adoption in nursing practice.
Hothaifah Hijazi, Mohammad Alsadi, Abdulqadir Nashwan et al.· ANS. Advances in nursing sci...· 0 citations
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Evaluating physiological consistency alongside predictive accuracy is essential for responsible clinical translation of DL-based BG forecasting, and PhyNet preserves accuracy while enhancing physiological fidelity, supporting safer integration into T1D technologies.
A. Calzavara, Francesco Prendin, G. Cappon et al.· IEEE transactions on bio-med...· 0 citations
Interestingly, these preliminary findings suggest that general-purpose models from whole slide images, focusing primarily in the stroma, can be used to extract tissue characteristics that may be otherwise unrealized from H&E images.
Alex Soupir, Steven Eschrich, Mitchell Hayes et al.· The Oncologist· 0 citations
The increasing deployment of complex artificial intelligence (AI) models in critical applications necessitates methods for understanding and explaining their decision-making processes. Traditional model interpretability techniques often struggle to capture the underlying causal relationships driving model predictions,...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This paper explores a novel approach to interpreting deep learning models by integrating symbolic reasoning. Traditional deep learning models are often considered "black boxes," making it difficult to understand their decision-making processes. This work proposes a framework that combines the strengths of both deep lea...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This dataset contains 5,000 manually annotated Bangla-language text instances collected and curated for the detection of racism and body-shaming content on Bangla social media. It accompanies the paper "An Optimized Multi-Transformer Framework with Explainable AI for Racism and Body-Shaming Detection in Bangla Social M...
Shanjida Alam Hena, Antar Sarker, Tanveer Hasan et al.· Mendeley Data· 0 citations
An important aspect of speaking performance is coping with unexpected communicative situations. This is particularly crucial in tourism English communication (TEC), where speakers often need to answer unexpected questions, provide quick information, introduce destinations, explain itineraries, and handle tourists’ prob...
Khoa Tran The· International Journal of Lan...· 0 citations
The increasing deployment of complex artificial intelligence (AI) models in critical applications necessitates methods for understanding and explaining their decision-making processes. Traditional model interpretability techniques often struggle to capture the underlying causal relationships driving model predictions,...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The increasing deployment of Artificial Intelligence (AI) systems in critical applications necessitates methods for understanding and trusting their decisions. Traditional explainable AI (XAI) techniques often struggle to capture the complex, dynamic relationships within systems, particularly those evolving over time....
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
