Change in v1.2.3 (19 September 2026). The Availability-of-data statement is corrected, and nothing else is. It said the deposited database contains 175 records, and it quoted a version DOI alongside the concept DOI. Both had gone stale: the database now holds 210 records, and the version DOI quoted — 10.5281/zenodo.228...
Hemant K. Rohera· Zenodo (CERN European Organi...· 0 citations
Dataset. The verified reference database and calculation script behind the narrative review Bioelectrical Parameters of Living Systems (Rohera, 2026). Three manuscripts by the same author draw on this database: the narrative review named above (concept DOI 10.5281/zenodo.22829923), a companion review of the electrical...
Hemant K. Rohera· Zenodo (CERN European Organi...· 0 citations
This part sets out how each of the four scoreboards of Europe's AI position is built: venture capital, GPU-cluster compute, model output and inference prices. On money and compute Europe's shares are 6.1 percent of 2025 global AI venture capital as the EU27, about 12 percent once the UK, Switzerland and Norway are coun...
The AI based pipeline enabled accurate, generalisable, and explainable assessment of abdominal aortic aneurysm patients, including both pre-EVAR evaluation and post-EVAR follow up.
J. Garrido-Oliver, Xavier Tenezaca-Sari, Tiago Ribeiro et al.· European Journal of Vascular...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
The gap between AI's research promise and clinical readiness is highlighted, which underscores the need for localvalidation, post-market surveillance, and adequate user training as AI tools become incorporated into diagnostic prostate MRI workflows.
Renato Cuocolo, A. Ponsiglione, G. Agrotis et al.· European Radiology· 0 citations
This narrative, practice-oriented review maps the 2024-2025 landscape of AI-enabled prescribing in opioid use disorder (OUD) care, where the evidence base is most developed, while noting cautious extension to other substance use disorders (SUDs), and proposes safeguards that keep AI explainable, equitable, transferable...
Mike Zack, V. Skryabin· European Addiction Research· 0 citations
It is suggested that AI safety in healthcare should be understood as a socio-technical governance process rather than a fixed technical property and a High-Reliability Organisation approach may provide a useful framework for early risk detection and continuous oversight.
Zuhal Çayirtepe, Bayram Demir, Ö. Ertuğrul· International Journal of Med...· 0 citations
Digital transformation in pharmaceutical regulatory affairs is accelerating as global submissions grow in complexity and traditional document-based workflows reach their limits. Artificial intelligence (AI), particularly natural language processing (NLP), is increasingly being explored to support regulatory data manage...
Inês Lucas, João Sousa, C. Vitorino· AAPS Journal· 0 citations
As automated vehicles (AVs) are increasingly deployed in real-world environments, users often do not understand what decisions their vehicles are making, or why. Explainable AI (XAI) offers a promising path toward transparency, yet most existing approaches remain algorithm-centric and inaccessible to end users. This wo...
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
A fully automated (SAE L5) vehicle can obey every traffic rule and still behave near-erroneously, and a passenger who cannot tell why loses situation awareness (SA) to the black-box driving stack, degrading the ride. Prior natural-language explanations target drivers or stop at model interpretability, not a passenger-f...
Taewan Kim, Soeun Park, Eunchae Song et al.· Adjunct Proceedings of the 1...· 0 citations
Overall, multimodal explanations appear beneficial, particularly during initial use, but should adapt to user needs and context, but should adapt to user needs and context.
Ignacio J. Alvarez, Tobias Seidl· Adjunct Proceedings of the 1...· 0 citations
Employee AI awareness (AIA) has emerged as a critical yet conceptually diffuse construct capturing how employees cognitively and affectively interpret the implications of artificial intelligence (AI) for their work. Addressing calls for psychologically grounded research on AI in organizational contexts, this study syst...
Harish Yadav, R. Dhar· Acta Psychologica· 0 citations
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
