Results 141 to 150 of about 2,085,409 (278)

AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability

open access: yesAdvances in Human-Computer Interaction
In this research, we hypothesize that attitudes toward artificial intelligence (AI) are shaped by individuals’ perceived competence in using and managing it, as well as their assessment of the importance of AI’s understandability and transparency, often ...
M. Liebherr   +5 more
doaj   +1 more source

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey

open access: yesIEEE Access
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies.
Roohallah Alizadehsani   +7 more
doaj   +1 more source

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes   +9 more
wiley   +1 more source

Explainable Artificial Intelligence in Smart Agriculture: A Comprehensive Review of Interpretable Remote Sensing for Sustainable Decision-Making

open access: yesAgriEngineering
Recent advances in artificial intelligence (AI), machine learning (ML), deep learning (DL), and remote sensing technologies have transformed agricultural monitoring, precision farming, and climate-resilient decision-making.
Rasha M. Abou Samra, Rafat Ramadan Ali
doaj   +1 more source

Four general‐purpose large language models (ChatGPT‐5, Claude 4, Grok 4 and Gemini 2.5) show comparable performance in specialised total knee arthroplasty clinical questions

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate and compare the performance of four general‐purpose large language models (LLMs) (ChatGPT‐5, Claude 4, Grok 4 and Gemini 2.5) in answering specialised clinical questions related to total knee arthroplasty (TKA) derived from the World Expert Meeting in Arthroplasty (WEMA). Methods This is a cross‐sectional comparative study.
Oriol Pujol   +7 more
wiley   +1 more source

Hybrid Data-Expert Explainable Beer Style Classifier [PDF]

open access: yes, 2018
This paper presents a hybrid data-expert approach for building eXplainable Artificial Intelligence (XAI) systems. It combines an opaque machine learning system with several interpretable sys- tems to build a whole XAI system, i.e., a system which ...
Corrado Mencar   +3 more
core  

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

open access: yesMed Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang   +4 more
wiley   +1 more source

The Trust-Aware XAI (TAXAI) framework: a quantitative model for interpretable and reliable clinical AI systems

open access: yesScientific Reports
Explainable Artificial Intelligence (XAI) performs a vital role in ensuring transparency, trust, and accountability in clinical decision support systems.
Mahua Pal   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Dynamic Performance Enhancement of a High‐Agility Hypersonic Mechanical System via a Learning‐Augmented Robust Control Architecture

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The design of control systems for high‐agility mechanical systems operating in extreme environments is a significant challenge in nonlinear dynamics. This paper addresses the complex dynamic control problem of a hypersonic interceptor, modeled as a multi‐input multi‐output (MIMO) mechanical system characterized by strong aerodynamic cross ...
Mohammad Mahdi Soori   +1 more
wiley   +1 more source

Home - About - Disclaimer - Privacy