Results 151 to 160 of about 1,724 (248)

Development and validation of a sensor-integrated smart driving test system for automated, scalable, and objective driver performance evaluation. [PDF]

Sci Rep
Sabry ES, Wagdy KE, Elkholy YM, Farid MA, Domdom FM, Mohamed MA, Abdelkhalik AA, Alshathri S, El-Shafai W.   +8 more
europepmc   +1 more source

Is There Fairness in AI?

Journal of Management Studies, Volume 63, Issue 6, Page 3494-3531, September 2026.
Abstract As predictive artificial intelligence (AI) technologies increasingly steer workplace decisions, debates around fairness have intensified. Existing research often approaches fairness either as a set of universal principles supported or undermined by algorithms, or as a product of social interpretations, thereby providing either technologically ...
Elmira van den Broek, Anastasia Sergeeva, Marleen Huysman   +2 more
wiley   +1 more source

Development of a Web-Based Resource to Support Driving Safety in Older Adults: Semistructured Interview and Focus Group Study. [PDF]

JMIR Aging
Cahill M, Eramudugolla R, Tang M, Hosking D, Cratchley S, Regan M, Ross LA, Price J, Anstey KJ.   +8 more
europepmc   +1 more source

Geospatial Discrepancy of Chronic Hepatitis B and Hepatitis D Testing in Alberta: A Population‐Based Spatial Analysis

Journal of Viral Hepatitis, Volume 33, Issue 9, September 2026.
ABSTRACT Chronic hepatitis B (CHB) and hepatitis D virus (HDV) coinfection are major causes of cirrhosis and hepatocellular carcinoma. The geographic distribution of CHB and alignment of anti‐HDV testing with CHB burden remain poorly defined. We aimed to examine if anti‐HDV testing and seropositivity align with areas of highest CHB burden.
Bryce Tkachuk, Isabelle Couloigner, Carla S. Coffin, Jason Jiang, Stefania Bertazzon, Abdel‐Aziz Shaheen   +5 more
wiley   +1 more source

AI-Driven Smart Cockpit: Monitoring of Sudden Illnesses, Health Risk Intervention, and Future Prospects. [PDF]

Sensors (Basel)
Ye D, Liu K, Luo C, Hu N.
europepmc   +1 more source

Personnel Psychology's 40 Questions Series: Artificial Intelligence

Personnel Psychology, Volume 79, Issue 3, Page 353-369, Autumn (Fall) 2026.
ABSTRACT In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes:
Emily D. Campion, Scott Tonidandel
wiley   +1 more source

Scanner‐agnostic artificial intelligence approach for fast bone scintigraphy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Purpose Current bone scintigraphy protocols often demand full‐count, 10–15 min scans to preserve image quality, and existing deep‐learning (DL) denoisers typically need to be retrained or retuned for each camera manufacturer. We introduce a scanner‐agnostic adaptive‐diffusion U‐Net designed to reconstruct diagnostic‐grade images from half‐time
Vinicius de Oliveira Menezes, Cleiton Cavalcante Queiroz, Antônio Augusto Silva Oliveira, Aurílio José dos Santos Filho, Allisson Francisco de Morais, Adriano de Oliveira Vigário, Maria Eduarda Flamini, Felipe Alves Mourato, Tsang Ing Ren, Marcos Antônio Dórea Machado   +9 more
wiley   +1 more source

Visual Impairment and Driving in Older Adults: A Narrative Review. [PDF]

Curr Treat Options Neurol
Xu S, Ehrlich JR, De Lott LB.
europepmc   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source

Dynamic road section risk identification model based on connected in-vehicle data. [PDF]

PLoS One
Zhang Y, Yang G, Xie T.
europepmc   +1 more source