The increasing prevalence of Autonomous Systems (AS) powered by Artificial Intelligence (AI) in society and their expanding role in ensuring safety necessitate the assessment of their trustworthiness. The verification and development community faces the challenge of evaluating the trustworthiness of AI-powered AS in a comprehensive and objective manner. To address this challenge, this study conducts a semi-structured interview with experts to gather their insights and perspectives on the trustworthiness of AI-powered autonomous systems in healthcare. By integrating the expert insights, a comprehensive framework is proposed for assessing the trustworthiness of AI-powered autonomous systems in the domain of healthcare. This framework is designed to contribute to the advancement of trustworthiness assessment practices in the field of AI and autonomous systems, fostering greater confidence in their deployment in healthcare settings.
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http://dx.doi.org/10.3389/fdgth.2024.1474692 | DOI Listing |
Cancer Nurs
January 2025
Author Affiliations: The Nethersole School of Nursing, Faculty of Medicine, Chinese University of Hong Kong, Shatin, Hong Kong (Ms Chen and Drs Ng, Zhang, and Chan); and Nursing Department, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China (Ms Chen).
Background: Patients with gastrointestinal tract cancer reported suboptimal adherence to oral anticancer agents (OAAs), reducing their therapeutic benefit and increasing mortality risk. A scoping review can comprehensively map available evidence on adherence to OAAs and inform appropriate support to improve treatment outcomes.
Objective: The aim of this study was to comprehensively map studies on adherence to OAAs among adults with gastrointestinal tract cancer, including the adherence rate, nonadherence reasons, influential factors, management strategies, and theories that guide these studies.
Soft Robot
January 2025
Department of Mechanical and Nuclear Engineering, Khalifa University, Abu Dhabi, UAE.
The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine life, call for the adoption of soft robotic approaches in marine exploration. To address this, we present a novel prototype, ZodiAq, a soft underwater drone inspired by prokaryotic bacterial flagella. ZodiAq's unique dodecahedral structure, equipped with 12 flagella-like arms, ensures design redundancy and compliance, ideal for navigating complex underwater terrains.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Earth Sciences, Engineering Faculty, Autonomous University of San Luis Potosi, Av. Manuel Nava 8, San Luis Potosí, SLP, Mexico.
Ecosystems such as wetlands have karst groundwater as their primary source of preserving their services and functions. Karst systems are complex hydrogeological systems that are difficult to study because of their complicated functioning mechanism, which requires an interdisciplinary effort based on hydrodynamic assessment and characterization of the hydrogeology of the system. The study area is the Ramsar wetland Ciénaga de Tamasopo (Mexico), which is dependent on the discharge of karst groundwater that is affected by water extraction of extensive sugarcane agriculture and is also the main water source for the rural towns.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Objective: The combination of pembrolizumab and chemotherapy has demonstrated notable clinical advantages in improving overall survival than chemotherapy alone for patients with untreated advanced pleural mesothelioma. The purpose of this study was to assess its cost-effectiveness.
Materials And Methods: A Markov state-transition model was constructed using data from the IND227 phase 3 randomized clinical trial.
Quant Imaging Med Surg
January 2025
Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Background: Echocardiography can conveniently, rapidly, and economically evaluate the structure and function of the heart, and has important value in the diagnosis and evaluation of cardiovascular diseases (CVDs). However, echocardiography still exhibits significant variability in image acquisition and diagnosis, with a heavy dependency on the operator's experience. Image quality affects disease diagnosis in the later stage, and even image quality assessment still has variability in human evaluation.
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