[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges
Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …
medicine, understanding the potential uses of generative AI in health care becomes …
AI-driven environmental health disease modeling: a review of techniques and their impact on public health in the USA and African contexts
NC Ohalete, O Ayo-Farai, TO Olorunsogo… - International Medical …, 2024 - fepbl.com
This scholarly paper embarks on an exploratory journey into the realm of AI-driven
environmental health disease modeling, with a keen focus on its implications in the diverse …
environmental health disease modeling, with a keen focus on its implications in the diverse …
An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
When deployed, machine-learning (ML) adoption depends on its ability to actually deliver
the expected service safely, and to meet user expectations in terms of quality and continuity …
the expected service safely, and to meet user expectations in terms of quality and continuity …
[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
We propose a post-hoc computationally lightweight method to quantify predictive uncertainty
in semantic image segmentation. Our approach uses conformal prediction to generate …
in semantic image segmentation. Our approach uses conformal prediction to generate …
Ensuring the Reliability of AI Systems through Methodological Processes
The strategic implementation of Artificial Intelligence (AI) technologies in the industry
requires extending conventional engineering disciplines to include AI-specific …
requires extending conventional engineering disciplines to include AI-specific …
Exploring the landscape of trustworthy artificial intelligence: Status and challenges
G Mentzas, M Fikardos, K Lepenioti… - Intelligent Decision …, 2024 - content.iospress.com
Artificial Intelligence (AI) has pervaded everyday life, reshaping the landscape of business,
economy, and society through the alteration of interactions and connections among …
economy, and society through the alteration of interactions and connections among …
AI Systems Trustworthiness Assessment: State of the Art
Model-based System Engineering (MBSE) has been advocated as a promising approach to
reduce the complexity of AI-based systems development. However, given the uncertainties …
reduce the complexity of AI-based systems development. However, given the uncertainties …
THEMIS 5.0. Deliverable 2.1.-THEMIS 5.0 Methodological Framework and Requirements Analysis
S Garsia, A Doulgerakis, E Tsalapati, G Giotis… - 2024 - lirias.kuleuven.be
In WP2 of the THEMIS 5.0, the conceptual basis for the innovative approach of the project is
developed, comprising the theoretical groundwork and the human-centric requirements that …
developed, comprising the theoretical groundwork and the human-centric requirements that …