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interpretability

GeneTech 知识引擎共收录 211 篇相关科研实体，横跨 18 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• XAI2Brain: A Perspective on Mechanistic Interpretability for Brain–AI Alignment
  2026 · AI 安全与对齐 · The convergence of artificial intelligence (AI), explainable AI (XAI), and neuroscience is fostering new opportunities for understanding both machine and biological intelligence through interpretable and human-centered l…
• Toward Clinically Dependable AI for Brain Tumors: A Unified Diagnostic–Prognostic Framework and Triadic Evaluation Model
  2026 · AI 安全与对齐 · Artificial intelligence (AI) has shown promising performance in brain tumor diagnosis and prognosis; however, most reported advances remain difficult to translate into clinical practice due to limited interpretability, i…
• The Role of Artificial Intelligence in Enhancing ESG Disclosure Quality in Accounting
  2026 · AI 安全与对齐 · As corporate sustainability reporting evolves into a pivotal resource for investors, regulators, and stakeholders, the imperative to evaluate and elevate ESG disclosure quality intensifies amid persistent challenges like…
• An LLM-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-AI Network Defense
  2026 · AI 安全与对齐 · Traditional intrusion detection systems for IoT networks achieve high classification accuracy but lack interpretability and actionable incident-response capabilities, limiting their operational value in security-critical…
• Artificial Intelligence as a Catalyst for Antimicrobial Discovery: From Predictive Models to De Novo Design
  2026 · AI 安全与对齐 · Antimicrobial resistance represents one of the most critical global health challenges of the 21st century, urgently demanding innovative strategies for antimicrobial discovery. Traditional antibiotic development pipeline…
• How can the integration of AI large language models and knowledge graph enhance fault diagnosis? A systematic literature review
  2026 · AI 安全与对齐 · The integration of Large Language Models (LLMs) and Knowledge Graphs (KGs) represents an emerging approach to improving fault diagnosis in industrial settings. Traditional fault diagnosis methods—including model-based, s…
• Capturing Short- and Long-Term Temporal Dependencies Using Bahdanau-Enhanced Fused Attention Model for Financial Data—An Explainable AI Approach
  2026 · AI 安全与对齐 · Prediction of stock closing price plays a critical role in financial planning, risk management, and informed investment decision-making. In this study, we propose a novel model that synergistically amalgamates Bidirectio…
• Recent Advances in Raman Spectral Classification with Machine Learning.
  2026 · 地外矿物 · Raman spectroscopy is a non-destructive analytical technique based on molecular vibrational properties. However, its practical application is often challenged by weak scattering signals, complex spectra, and the high-dim…
• Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis
  2026 · 医疗人工智能 · Sepsis is a life-threatening syndrome characterized by marked clinical heterogeneity and complex host-pathogen interactions. Although traditional mechanistic studies have identified key molecular pathways, they remain in…
• Revolutionizing endodontics: the impact and innovations of artificial intelligence
  2026 · 医疗人工智能 · BACKGROUND: Artificial intelligence (AI) has been increasingly applied in the diagnosis and treatment of endodontic conditions. This narrative review summarizes the current literature on AI applications in endodontics fr…
• Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition
  2026 · 碳中和与 CCUS · The catalytic decomposition of methane represents an efficient route for carbon nanotube (CNT) synthesis, yet the quantitative prediction of CNT mean diameter under multivariate processing conditions remains challenging.…
• Shedding Light on Explainable AI: Insights, Challenges, and the Future of Infrastructure Management
  2026 · 数字孪生 · This study presents a systematic review of Explainable Artificial Intelligence (XAI) applications in Transportation Infrastructure Management (TIM), focusing on predictive maintenance of safety-critical assets such as ra…
• Accelerating fused filament fabrication FFF optimization with AI-Powered digital twins and High-Fidelity simulations
  2026 · 数字孪生 · Abstract This study introduces a novel AI-based prediction framework for Fused Filament Fabrication (FFF) process optimization, integrating high-fidelity simulation with machine learning and design of experiments (DOE) a…
• Hybrid Digital Twin Framework for Real-Time Indoor Air Quality Monitoring and Filtration Optimization
  2026 · 数字孪生 · This study presents a hybrid digital twin system designed for real-time indoor air quality (IAQ) monitoring and filtration optimization within a residential environment. Using a network of low-cost sensors, physics-based…
• A Prediction Model of Interlayer Bond Strength for 3D-Printed Concrete Considering Printing Interval and Environmental Effects
  2026 · 数字孪生 · Interlayer bond strength is critical for ensuring the safety and durability of 3D-printed concrete (3DPC) structures. However, there remains a lack of real-time prediction methods addressing interlayer performance under …
• The Role of Artificial Intelligence in Enhancing ESG Disclosure Quality in Accounting
  2026 · 具身智能 · As corporate sustainability reporting evolves into a pivotal resource for investors, regulators, and stakeholders, the imperative to evaluate and elevate ESG disclosure quality intensifies amid persistent challenges like…
• High-capacity removal of crystal violet using ZIF-8/graphene quantum dot composite with RSM optimization and explainable machine learning
  2026 · 量子材料 · Synthetic dyes are persistent pollutants resistant to conventional treatment, necessitating effective removal strategies. This study examines the adsorption of Crystal Violet (CV) onto a ZIF-8/graphene quantum dot (Z8GD)…
• Evolution of AI in Education: Agentic Workflows
  2025 · AI Agent 生态 · The primary goal of this study is to analyze agentic workflows in education according to the proposed four major technological paradigms: reflection, planning, tool use, and multi-agent collaboration. We critically exami…
• Evaluating Faithfulness in Agentic RAG Systems for e-Governance Applications Using LLM-Based Judging Frameworks
  2025 · AI Agent 生态 · As Large Language Models (LLMs) are core components in Retrieval-Augmented Generation (RAG) systems for knowledge-intensive tasks, concerns regarding hallucinations, redundancy, and unverifiable outputs have intensified,…
• Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability
  2025 · AI 安全与对齐 · The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic capabilities, yet the black-box nature of deep learning models poses significant challenges for clinical adoption. Current …
• Beyond Single Systems: How Multi-Agent AI Is Reshaping Ethics in Radiology
  2025 · AI 安全与对齐 · Radiology is undergoing a paradigm shift from traditional single-function AI systems to sophisticated multi-agent networks capable of autonomous reasoning, coordinated decision-making, and adaptive workflow management. T…
• Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis
  2025 · AI 安全与对齐 · Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by a wide spectrum of motor and non-motor symptoms, often leading to delayed or inaccurate diagnosis. Conventional diagnostic methods fre…
• Leveraging transformers and explainable AI for Alzheimer’s disease interpretability
  2025 · AI 安全与对齐 · Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is al…
• The Role of AI in Modern Aesthetic Dentistry
  2025 · AI 安全与对齐 · Artificial intelligence (AI) is reshaping aesthetic dentistry by improving diagnostic precision, treatment planning, outcome predictability, and overall patient satisfaction. This review aims to systematically analyze th…
• Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils
  2025 · AI 安全与对齐 · Abstract Accurately estimating the residual strength friction angle of clay soils is vital for the design and stability evaluation of geotechnical structures such as slopes, retaining walls, and foundations, especially i…
• RETRACTED ARTICLE: A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction
  2025 · AI 安全与对齐 · Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatm…
• Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging
  2025 · AI 安全与对齐 · The integration of pathology and radiology in medical imaging has emerged as a critical need for advancing diagnostic accuracy and improving clinical workflows. Current AI-driven approaches for medical image analysis, de…
• AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications
  2025 · AI 安全与对齐 · Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define "predict" as…
• AI and Machine Learning in Biology: From Genes to Proteins
  2025 · AI 安全与对齐 · Artificial Intelligence (AI) and Machine Learning (ML), especially deep learning, have revolutionized genomics and protein structure prediction, advancing precision medicine and drug discovery. This review focuses on the…
• Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics
  2025 · AI 安全与对齐 · ABSTRACT Background Artificial intelligence (AI) is transforming dermatopathology by enhancing diagnostic accuracy, efficiency, and precision medicine. Despite its promise, challenges such as dataset biases, underreprese…
• A Review: Research Progress in Bridge Structural Health Monitoring From the Perspective of AI Development
  2025 · AI 安全与对齐 · Bridge structural health monitoring (BSHM) has consistently been a research hotspot in civil engineering. The field of BSHM has experienced a significant transition from traditional manual inspections to an advanced inte…
• A Systematic Review of Deep Knowledge Tracing (2015-2025): Toward Responsible AI for Education
  2025 · AI 安全与对齐 · Background and Objectives: Tracking and adapting to learners’ evolving knowledge is essential for effective teaching. In digital learning, Deep Knowledge Tracing (DKT) employs deep neural networks to analyze sequential l…
• Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems
  2025 · AI 安全与对齐 · Advances in artificial intelligence (AI) are transforming assisted reproductive technologies by significantly enhancing fertility diagnostics. This review focuses on integrating AI with Computer-Aided Sperm Analysis (CAS…
• From Black Box to Glass Box: A Practical Review of Explainable Artificial Intelligence (XAI)
  2025 · AI 安全与对齐 · Explainable Artificial Intelligence (XAI) has become essential as machine learning systems are deployed in high-stakes domains such as security, finance, and healthcare. Traditional models often act as “black boxes”, lim…
• A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin
  2025 · AI 安全与对齐 · Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits the applicability of…
• Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
  2025 · 生物计算 · Artificial intelligence (AI) has emerged as a transformative force in psychiatry, improving diagnostic precision, treatment personalization, and early intervention through advanced data analysis techniques. This review e…
• Explainable artificial intelligence for gait analysis: advances, pitfalls, and challenges - a systematic review
  2025 · 医疗人工智能 · Machine learning (ML) has emerged as a powerful tool to analyze gait data, yet the "black-box" nature of many ML models hinders their clinical application. Explainable artificial intelligence (XAI) promises to enhance th…
• Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review
  2025 · 医疗人工智能 · BACKGROUND: This systematic review investigates the use of machine learning (ML) algorithms in predicting survival outcomes for ovarian cancer (OC) patients. Key prognostic endpoints, including overall survival (OS), rec…
• Leveraging Artificial Intelligence and Radiomics for Improved Nasopharyngeal Carcinoma Prognostication
  2025 · 医疗人工智能 · INTRODUCTION: Nasopharyngeal carcinoma (NPC) typically presents as advanced disease due to the lack of significant symptoms in the early stages. Accurate prognostication is therefore challenging as current methods based …
• Application of Explainable Artificial Intelligence Based on Visual Explanation in Digestive Endoscopy
  2025 · 医疗人工智能 · At present, artificial intelligence (AI) has shown significant potential in digestive endoscopy image analysis, serving as a powerful auxiliary tool for the accurate diagnosis and treatment of gastrointestinal diseases. …
• Enhanced intrusion detection in cybersecurity through dimensionality reduction and explainable artificial intelligence
  2025 · 医疗人工智能 · Cybersecurity is one of the applications of controls, procedures, and technologies for protecting data, networks, programs, and systems from potential cyber threats. Malicious threats have become complex, and the leading…
• Improving Sepsis Prediction in the ICU with Explainable Artificial Intelligence: The Promise of Bayesian Networks
  2025 · 医疗人工智能 · Background/Objectives: Sepsis remains one of the leading causes of mortality worldwide, characterized by a complex and heterogeneous clinical presentation. Despite advances in patient monitoring and biomarkers, early det…
• Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment
  2025 · 医疗人工智能 · Glioblastoma (GBM) is the most aggressive and common primary brain malignancy in adults, characterized by poor prognosis and treatment resistance. Despite advancements in treatment options, the median survival is roughly…
• Explainable artificial intelligence in the talent recruitment process-a literature review
  2025 · 医疗人工智能 · With the widespread application of artificial intelligence in talent recruitment, the ‘black-box’ nature of AI, which leads to insufficient transparency and interpretability in decision-making, has gradually become a key…
• Applications of Artificial Intelligence for Metastatic Gastrointestinal Cancer: A Systematic Literature Review
  2025 · 医疗人工智能 · BACKGROUND/OBJECTIVES: This systematic literature review examines the application of Artificial Intelligence (AI) in the diagnosis, treatment, and follow-up of metastatic gastrointestinal cancers. METHODS: The databases …
• A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision
  2025 · 医疗人工智能 · Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding. This review provides a focused comparative analysis of representat…
• The application of artificial intelligence in forensic pathology: a systematic literature review
  2025 · 医疗人工智能 · Introduction: Recent advancements in Artificial Intelligence have shown immense potential across various domains of healthcare, including forensic pathology. This systematic review aims to evaluate the latest innovations…
• Clinical prediction models using artificial intelligence approaches in dementia
  2025 · 医疗人工智能 · BACKGROUND: While nearly half of all dementia cases are potentially preventable, early detection and targeted interventions are critical. Artificial intelligence (AI)-enhanced clinical prediction models offer promising t…
• From Black Box to Glass Box: A Practical Review of Explainable Artificial Intelligence (XAI)
  2025 · 医疗人工智能 · Explainable Artificial Intelligence (XAI) has become essential as machine learning systems are deployed in high-stakes domains such as security, finance, and healthcare. Traditional models often act as “black boxes”, lim…
• Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?
  2025 · 医疗人工智能 · Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning…
• Empowering Generalist Material Intelligence with Large Language Models
  2025 · 医疗人工智能 · Large language models (LLMs) are steering the development of generalist materials intelligence (GMI), a unified framework integrating conceptual reasoning, computational modeling, and experimental validation. Central to …
• Explainable Artificial Intelligence for Pulmonary Disease Detection from Chest Radiographs
  2025 · 医疗人工智能 · The integration of Explainable Artificial Intelligence (XAI) with deep learning has revolutionized medical image analysis, which is now able to yield accurate and interpretable disease diagnosis. In spite of significant …
• Integrating Model‐Informed Drug Development With AI : A Synergistic Approach to Accelerating Pharmaceutical Innovation
  2025 · 医疗人工智能 · The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses math…
• Interpretability of Riemannian Tools Used in Brain Computer Interfaces
  2025 · 仿生智能 · Riemannian methods have established themselves as state-of-the-art approaches in Brain-Computer Interfaces (BCI) in terms of performance. However, their adoption by experimenters is often hindered by a lack of interpreta…
• Computer Vision for Disease Detection — An Overview of How Computer Vision Techniques Can Be Used to Detect Diseases in Medical Images, Such as X‐Rays and MRIs
  2025 · 仿生智能 · The utility of computer imaginative and predictive strategies to medical imaging for disease detection represents a big advancement in healthcare diagnostics. This explores a complete methodology that integrates progress…
• Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces
  2025 · 仿生智能 · Fuzzy logic provides a robust framework for enhancing explainability, particularly in domains requiring the interpretation of complex and ambiguous signals, such as brain-computer interface (BCI) systems. Despite signifi…
• Towards Explainable Deep Learning in Computational Neuroscience: Visual and Clinical Applications
  2025 · 脑科学 · Deep learning has emerged as a powerful tool in computational neuroscience, enabling the modeling of complex neural processes and supporting data-driven insights into brain function. However, the non-transparent nature o…
• Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications
  2025 · 脑科学 · Artificial intelligence (AI) has been recently applied to different mental health illnesses and healthcare domains. This systematic review presents the application of AI in mental health in the domains of diagnosis, moni…
• Generative AI in clinical (2020–2025): a mini-review of applications, emerging trends, and clinical challenges
  2025 · 数字孪生 · Generative artificial intelligence (G-AI) has moved from proof-of-concept demonstrations to practical tools that augment radiology, dermatology, genetics, drug discovery, and electronic-health-record analysis. This mini-…
• A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
  2025 · 数字孪生 · Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to improve real-time decision-making, but…

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