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• Artificial intelligence as a medical device for ophthalmic image analysis: a scoping review of regulated devices
  Abstract This scoping review aims to identify regulator-approved ophthalmic image analysis AIaMDs in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as a step towards identifyi…
  preprints 2025 置信度 0.74
• Uptake of service specific codes for the COVID oximetry @Home Pulse Oximetry service: an analysis of 57 million patients’ primary care records using OpenSAFELY
  preprints 2025 置信度 0.74
• GHOSTS: Generation of synthetic hospital time series for clinical machine learning research
  Machine learning (ML) holds great promise to support, improve, and automatize clinical decision-making in hospitals. Data protection regulations, however, hinder abundantly available routine data from being shared across sites for model training. Generative mo…
  preprints 2024 置信度 0.74
• Data-driven prediction of spinal cord injury recovery: an exploration of current status and future perspectives
  preprints 2024 置信度 0.74
• The challenges of replication: a worked example of methods reproducibility using electronic health record data
  preprints 2024 置信度 0.74
• Assessing Clustering Replicability in Sensorineural Hearing Loss: Insights from the UK's Largest Audiogram Cohort
  preprints 2024 置信度 0.74
• Commercial or industrial use of mental health data for research: primer and best-practice guidelines from the DATAMIND patient/public Lived Experience Advisory Group
  BACKGROUND: Routinely collected health data, such as that held by the United Kingdom (UK) National Health Service/Health and Social Care (collectively "NHS"), has important research uses, but its appropriate use requires public trust and transparency. Commerci…
  preprints 2025 置信度 0.74
• Cross-Species Aging Knowledge Integration into Agentic AI Platform Uncovers Conserved Mechanisms
  Abstract Aging research has been advanced largely through the use of model organisms, where short lifespans and genetic tractability enable the systematic discovery of molecular pathways influencing longevity and age-related decline. However, knowledge about a…
  preprints 2026 置信度 0.74
• Consortium Profile: The Methylation, Imaging and NeuroDevelopment (MIND) Consortium
  preprints 2024 置信度 0.74
• Long-read genome sequencing increases genomic yield in congenital heart disease
  preprints 2025 置信度 0.74
• T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity
  preprints 2024 置信度 0.74
• Prefrontal Electrophysiological Biomarkers and Mechanism-Based Drug Effects in a Rat Model of Alcohol Addiction
  preprints 2024 置信度 0.74
• A machine-learning model to harmonize brain volumetric data for quantitative neuro-radiological assessment of Alzheimer’s disease
  preprints 2024 置信度 0.74
• Transferability and accuracy of electronic health record-based predictors compared to polygenic scores
  preprints 2024 置信度 0.74
• Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries
  preprints 2024 置信度 0.74
• SAVANA: reliable analysis of somatic structural variants and copy number aberrations in clinical samples using long-read sequencing
  preprints 2024 置信度 0.74
• SAVANA: reliable analysis of somatic structural variants and copy number aberrations in clinical samples using long-read sequencing
  preprints 2024 置信度 0.74
• Non-parental childcare attendance prior to school entry and children’s internalising and externalising symptoms: an individual participant data meta-analysis of six child cohort studies (EU Child Cohort Network)
  preprints 2024 置信度 0.74
• NIAGADS: A Comprehensive National Data Repository for Alzheimer’s Disease and Related Dementia Genetics and Genomics Research
  NIAGADS is the National Institute on Aging (NIA) designated national data repository for human genetics research on Alzheimer’s Disease and related dementia (ADRD). NIAGADS maintains a high-quality data collection for ADRD genetic/genomic research and supports…
  preprints 2024 置信度 0.74
• Preventing the Next Financial Failure Post–COVID–19
  preprints 2021 置信度 0.74
• Sustainable Finance and Fintech: Can Technology Contribute to Achieving Environmental Goals? A Preliminary Assessment of ‘Green FinTech'
  preprints 2020 置信度 0.74
• A hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment.
  europepmc 2026 置信度 0.80
• Federated learning for teacher data privacy protection: a study in the context of the PIPL.
  europepmc 2026 置信度 0.80
• Bridging the gap: methodological challenges and innovations in systematic reviews of machine learning models in healthcare.
  europepmc 2026 置信度 0.80
• Evolution, hotspots, and future directions of artificial intelligence in asthma research: a Web of Science-based bibliometric analysis [2016-2026].
  While artificial intelligence (AI) offers unprecedented capabilities for predictive modeling and precision asthma management, there is an urgent clinical necessity to successfully translate these rapid algorithmic innovations into real-world respiratory care. …
  pubmed You H, Zhu T, Liu C, Li S 等 2026 置信度 0.82
• PrivEdge: a hybrid split-federated learning framework for real-time electricity theft detection on edge nodes.
  europepmc 2026 置信度 0.80
• FedLSC: Improving Communication Efficiency and Robustness in Federated Learning With Stragglers and Adversaries.
  europepmc 2025 置信度 0.80
• Editorial: Privacy enhancing technology: a top 10 emerging technology to revolutionize healthcare.
  pubmed van Gemert-Pijnen LJE, Veugen T 2026 置信度 0.82
• A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent.
  The convergence of Sixth-Generation (6G) wireless networks and neuromorphic computing presents significant opportunities for intelligent, energy-efficient resource management in distributed architectures. This paper introduces Neuro6G-Agent, a hierarchical neu…
  europepmc 2026 置信度 0.80
• DriveEmo-FL: in-cabin radar-based emotion sensing for autonomous vehicles smart response.
  pubmed Imran N, Alnafisah KH, Zhang J, Hameed S 等 2026 置信度 0.82
• Explainable Split-Learning-Based Framework for Accurate Pulmonary Nodule Classification.
  europepmc 2026 置信度 0.80
• Multimodal human action recognition and personalized sports health promotion: a deep learning framework integrating wearable sensor fusion.
  Introduction In real-world sports scenarios, Human Action Recognition (HAR) is often hindered by data complexity, limited dynamic adaptability, and fragmented integration of physiological and kinematic information. To address these challenges, this study propo…
  europepmc 2026 置信度 0.80
• AI-Driven Hybrid Detection and Classification Framework for Secure Sleep Health IoT Networks.
  Sleep disorders, such as insomnia, obstructive sleep apnea (OSA), narcolepsy, REM sleep behavior disorder, and circadian rhythm disturbances, represent a rapidly expanding global health burden that is strongly associated with cardiovascular, metabolic, neurolo…
  pubmed Valsalan P, Siddiqui MM 2026 置信度 0.82
• Adaptive course recommendation using federated learning and graph convolutional networks in IoT-enhanced e-learning.
  europepmc 2025 置信度 0.80
• Feasibility of a German High-Frequency Neonatal and Pediatric Intensive Care Dataset (AIx-Neo-Guard Dataset): Secondary Data Cohort Study.
  Available information about existing neonatal and pediatric intensive care datasets is scarce.
  pubmed Olivier LS, Lauterbach Oprea C, Stollenwerk A, Orlikowsky T 等 2026 置信度 0.82
• Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning.
  europepmc 2026 置信度 0.80
• Enhancing lymphoma cancer detection using deep transfer learning on histopathological images.
  europepmc 2025 置信度 0.80
• An efficient federated learning based defense mechanism for software defined network cyber threats through machine learning models.
  europepmc 2025 置信度 0.80
• Data Sovereignty and Algorithmic Dependency in the Global South: A Systematic Review of Foundation Model Governance, Digital Inequity, and Decolonial Artificial Intelligence Frameworks
  Abstract Artificial intelligence (AI) systems built on foundation models now exert structural influence over economic, healthcare, educational, and civic decision-making across the globe. Yet the organizations that own, train, and govern these systems are over…
  europepmc 2026 置信度 0.80
• Artificial Intelligence-Enhanced Multiparametric MRI and VI-RADS in Bladder Cancer: Current Evidence, Clinical Opportunities and Barriers to Translation.
  Accurate distinction between non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC) remains the key local staging problem in bladder cancer because treatment intensity, timing of radical therapy, and suitability for bladder-preser…
  pubmed Popescu CG, Chipuc S, Zgura D, Haineala B 等 2026 置信度 0.82
• An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections.
  europepmc 2026 置信度 0.80
• Algorithmic Bias in Machine Learning-Based Cyber Defence: Taxonomy, Mathematical Frameworks, and Ethical Governance
  europepmc 2026 置信度 0.80
• Combining parameter fragmentation and group shuffling to defend against the untrustworthy server in federated learning.
  europepmc 2026 置信度 0.80
• Decentralized federated deep Q-learning for IoMT security: leveraging MK-VQFHE and blockchain with IPFS.
  The explosion of patient data, the demand for real-time insights, and the critical importance of data security drive healthcare innovation. Medical Internet of Things (IoMT) offers a promising solution, connecting medical devices, sensors, and healthcare syste…
  pubmed ChandraUmakantham O, Ravi K, Marappan S, Gajendran S 2026 置信度 0.82
• MultiEpilepsyNet: An EEG and MRI data based multimodal seizure detection model using hybrid deep learning model.
  europepmc 2025 置信度 0.80
• Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now?
  europepmc 2026 置信度 0.80
• Agentic AI for smart and sustainable precision agriculture.
  pubmed Srinivasu PN, Pavate A, JayaLakshmi G, Shafi J 等 2025 置信度 0.82
• Applications of transfer learning in sunflower disease detection: advances, challenges, and future directions.
  pubmed Gulzar Y 2025 置信度 0.82
• Data welfare is animal welfare: Building a WellFAIR research ecosystem.
  europepmc 2026 置信度 0.80
• Twenty-First Century Data Systems: Evolving Cancer Registries to a Learning Health System.
  europepmc 2026 置信度 0.80
• Edge-AI integrated secure wireless IoT architecture for real time healthcare monitoring and federated anomaly detection.
  The rapid digitalization of healthcare demands intelligent, low-latency, and privacy-preserving systems capable of operating at the network edge. This study introduces a unified Edge-AI framework that seamlessly combines dual wireless connectivity (LoRaWAN + 5…
  europepmc M. Prabha, S. Nandhini, M. Dayanidhy, R Pradeep 2025 置信度 0.80 Computer scienceScalabilityAnomaly detectionOverhead (engineering)Encryption
• Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in digital twin ecosystems.
  europepmc 2025 置信度 0.80
• Based on dual perspectives of management and ethics: exploring challenges and governance approaches for new media applications in psychiatric specialty hospitals.
  europepmc 2026 置信度 0.80
• Optimizing sepsis mortality prediction using hybrid federated learning and explainable AI framework.
  europepmc 2026 置信度 0.80
• Cautious optimism on foundation models in medical imaging balancing privacy and innovation.
  europepmc 2026 置信度 0.80
• A socio-technical framework for cyber-resilience in hybrid oil-renewable energy grids.
  europepmc 2026 置信度 0.80
• Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways.
  Orthopedic regenerative medicine (ORM) addresses musculoskeletal disorders in which effective repair requires coordinated structural reconstruction, biological repair, mechanical adaptation, and functional recovery. These processes generate heterogeneous infor…
  europepmc 2026 置信度 0.80
• A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes.
  europepmc 2025 置信度 0.80
• Number-Theoretic Methods in Statistics: Theory and Applications.
  europepmc 2026 置信度 0.80
• A multi-layer AI decision support system for startup success prediction and risk assessment using knowledge graphs and federated learning.
  Since start-ups have grown so quickly in recent decades, it is more important than ever to determine what elements contribute to their success or failure. Numerous factors, such as market conditions, product differentiation, finance availability, and manageria…
  pubmed Pan C, Pan X, Sun L 2026 置信度 0.82
• Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls.
  europepmc 2026 置信度 0.80
• Efficient Medical Image Segmentation in Multisensor Imaging: A Survey in the Era of Mamba and Foundation Models.
  Deep learning has revolutionized medical image segmentation; however, the clinical deployment of state-of-the-art models is severely impeded by their quadratic computational complexity and substantial resource demands, particularly in multisensor and multimoda…
  pubmed Shu X, Xiong Y, Ma Z, Zhang X 等 2026 置信度 0.82
• LLM-Assisted Scoping Review of Artificial Intelligence in Brazilian Public Health: Lessons from Transfer and Federated Learning for Resource-Constrained Settings.
  pubmed Borges FT, Machado GDM, Santana MA, Sancho KA 等 2026 置信度 0.82
• BlockIntelChain: a blockchain-based cyber threat intelligence sharing architecture.
  europepmc 2025 置信度 0.80
• A new clustered federated learning algorithm for heterogeneous data in high-precision wireless sensing.
  europepmc 2026 置信度 0.80
• Explainable federated transformer framework for joint leukemia classification and stage prediction.
  europepmc 2026 置信度 0.80
• STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks.
  The reproducibility crisis in causal microbiome research necessitates robust validation frameworks. Current studies often face inconsistent validation methods, limited interpretability, and a lack of standardized reporting, creating a gap in reliable causal in…
  pubmed Khelfaoui I, Wang W, Shehata AI, Meskher H 等 2026 置信度 0.82
• What's new in digital and computational pathology 2026: advances in adoption, standards, AI technologies, and clinical integration.
  Digital and computational pathology are expanding rapidly worldwide, driven by advances in whole-slide imaging, AI algorithms, multimodal data integration, and improved digital infrastructure. Adoption continues to accelerate in the United States and internati…
  pubmed Sevim S, Hajar C, Sonawane S 2026 置信度 0.82
• AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.
  europepmc 2026 置信度 0.80
• Data Privacy, Ownership, and Secondary Use of Clinical Data Generated by Continuous Glucose Monitors and Mobile Health Applications: A Review.
  The growing use of continuous glucose monitors (CGMs) and mobile health (mHealth) applications has changed how diabetes is managed, allowing real-time tracking of glycemic patterns and remote clinical decision-making. These technologies also generate large vol…
  pubmed Dario P 2026 置信度 0.82
• Building a single market for data: Data spaces as pro-competitive infrastructure.
  europepmc 2026 置信度 0.80
• Automated knee MRI segmentation with KneeSeg-U for cartilage and bone extraction using an unsupervised deep learning framework.
  europepmc 2026 置信度 0.80
• A bias-resilient client selection analysis for federated brain tumor segmentation.
  europepmc 2025 置信度 0.80
• Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases.
  europepmc 2025 置信度 0.80
• AI-navigated shoulder injection: precision, real-time learning and clinical translation.
  europepmc 2026 置信度 0.80
• Post-quantum cognitive zero trust architecture for healthcare IoT devices.
  europepmc 2026 置信度 0.80
• Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable.
  europepmc 2025 置信度 0.80
• Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes.
  europepmc 2026 置信度 0.80
• A unified AI-driven framework for quantum-secured 6G THz networks with intelligent reflecting surfaces and federated edge learning.
  The main contribution of this manuscript is an innovative framework for integrating Artificial Intelligence (AI) in 6G wireless systems. With increased complexity, including bursty traffic, network complexity, and dynamic variability, there is a need for intel…
  europepmc C. G. Balaji, S. Menaka, G. Rajeswari, Sivaram Ponnusamy 2025 置信度 0.80 Computer scienceSoftware deploymentEnhanced Data Rates for GSM EvolutionDistributed computingKey (lock)
• Computación de borde y computación en la niebla: un análisis descriptivo de la evolución de la computación en la nube para aplicaciones de IoT
  Introducción: El vertiginoso crecimiento del Internet de las Cosas (IoT) ha evidenciado las limitaciones estructurales de la computación en la nube centralizada para satisfacer las demandas de latencia, ancho de banda y privacidad de las aplicaciones en tiempo…
  datacite Pérez Insuasti, Juan José, Flores-Andino, Víctor Manuel 2026 置信度 0.66 edge computingfog computingInternet of Thingslatencydistributed architectures
• Computación de borde y computación en la niebla: un análisis descriptivo de la evolución de la computación en la nube para aplicaciones de IoT
  Introducción: El vertiginoso crecimiento del Internet de las Cosas (IoT) ha evidenciado las limitaciones estructurales de la computación en la nube centralizada para satisfacer las demandas de latencia, ancho de banda y privacidad de las aplicaciones en tiempo…
  datacite Pérez Insuasti, Juan José, Flores-Andino, Víctor Manuel 2026 置信度 0.66 edge computingfog computingInternet of Thingslatencydistributed architectures
• Architectural Imperative: Distributed Computer Systems Infrastructure for a Sustainable AI World
  Rapid advances in artificial intelligence (AI), driven primarily by the scaling of large language models (LLMs), have exposed critical ecological and infrastructural limitations inherent in prevailing centralized computing paradigms. Electricity consumption in…
  datacite Ankur Partap Kotwal 2026 置信度 0.66
• Architectural Imperative: Distributed Computer Systems Infrastructure for a Sustainable AI World
  Rapid advances in artificial intelligence (AI), driven primarily by the scaling of large language models (LLMs), have exposed critical ecological and infrastructural limitations inherent in prevailing centralized computing paradigms. Electricity consumption in…
  datacite Ankur Partap Kotwal 2026 置信度 0.66
• FedSurg EndoVis 2024: Challenge Subset of Appendix300
  This deposit contains the supplementary data for the FedSurg EndoVis 2024 Challenge, the first federated learning challenge in Surgical Data Science, held at MICCAI 2024. The challenge used a preliminary subset of the Appendix300 dataset, a multi-institutional…
  datacite Kirchner, Max, Kolbinger, Fiona R, Jenke, Alexander C, Saldanha, Oliver L 等 2026 置信度 0.66 2::22::205::205-25
• A Federated Autonomous Agent Operating System for Infrastructure Operations
  We present DRACONEX, a Federated Autonomous Agent Operating System for infrastructure operations that collapses six historically-separate operational disciplines — DevSecOps, IT Operations, Security Operations, Governance Risk and Compliance (GRC), Site Reliab…
  datacite Howard 2026 置信度 0.66 autonomous infrastructure operations, federated agents, large language models, hierarchical orchestration, edge AI, compliance-as-execution, mixture of agents, air-gapped operations, DoD compliance, NIST 800-53, DISA STIG.
• A Federated Autonomous Agent Operating System for Infrastructure Operations
  We present DRACONEX, a Federated Autonomous Agent Operating System for infrastructure operations that collapses six historically-separate operational disciplines — DevSecOps, IT Operations, Security Operations, Governance Risk and Compliance (GRC), Site Reliab…
  datacite Howard 2026 置信度 0.66 autonomous infrastructure operations, federated agents, large language models, hierarchical orchestration, edge AI, compliance-as-execution, mixture of agents, air-gapped operations, DoD compliance, NIST 800-53, DISA STIG.
• FedBioGuard: A Privacy-Preserving and Uncertainty-Aware Multimodal Federated Framework for Explainable Antimicrobial Resistance Prediction
  The rapid rise of antimicrobial resistance necessitates robust diagnostic tools that can integrate heterogeneous clinical data across decentralized healthcare institutions while ensuring patient data confidentiality. To address these requirements, this framewo…
  datacite Deepa Shree R 2026 置信度 0.66
• FedBioGuard: A Privacy-Preserving and Uncertainty-Aware Multimodal Federated Framework for Explainable Antimicrobial Resistance Prediction
  The rapid rise of antimicrobial resistance necessitates robust diagnostic tools that can integrate heterogeneous clinical data across decentralized healthcare institutions while ensuring patient data confidentiality. To address these requirements, this framewo…
  datacite Deepa Shree R 2026 置信度 0.66
• Deterministic and Auditable Routing for Artificial Intelligence in Regulated Environments
  # Deterministic and Auditable Routing for Artificial Intelligence in Regulated Environments **Felippe Barcelos** Independent Researcher felippe.barcelos10@gmail.com *Preprint — submitted to Zenodo. Version 1.0.0 — Protocol P55.0 — 2026-06-03* --- ## Abstract T…
  datacite Barcelos, Felippe 2026 置信度 0.66 LLM routingcompliancedeterminismcryptographic auditEU AI Act
• On-Device Glucose Alarms from a Single Learned Token: Pre-Registered Cross- Dataset Validation of a Class-Discriminant Codebook Across Eleven CGM Datasets
  Description This record accompanies a manuscript validating a single-token, on-device encoder for continuous glucose monitoring (CGM). Each glucose window is reduced to one compact learned token from which a decision is read on the sensor itself. Under strict …
  datacite Ferlic, Randolph James, Ferlic, Kimberly Kate 2026 置信度 0.66 hypoglycemia predictioncontinuous glucose monitoringhyperglycemia predictionclass-discriminant codebookvector quantization
• On-Device Glucose Alarms from a Single Learned Token: Pre-Registered Cross- Dataset Validation of a Class-Discriminant Codebook Across Eleven CGM Datasets
  Description This record accompanies a manuscript validating a single-token, on-device encoder for continuous glucose monitoring (CGM). Each glucose window is reduced to one compact learned token from which a decision is read on the sensor itself. Under strict …
  datacite Ferlic, Randolph James, Ferlic, Kimberly Kate 2026 置信度 0.66 hypoglycemia predictioncontinuous glucose monitoringhyperglycemia predictionclass-discriminant codebookvector quantization
• ALEVIA: A Two-Stage Deep Learning Pipeline for Multi-Label Morphological Deformity Classification in Juvenile Sparus aurata and Dicentrarchus labrax
  Intensive mariculture of juvenile gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) depends on early morphological screening to contain deformity rates below market thresholds (< 3%), yet this process still relies almost exclusive…
  datacite Alvarez-Osuna, Javier, Francisco-Fernández, Vilor 2026 置信度 0.66 Aquaculture/classificationmorphological deformitymulti-label classificationYOLOResNet
• ALEVIA: A Two-Stage Deep Learning Pipeline for Multi-Label Morphological Deformity Classification in Juvenile Sparus aurata and Dicentrarchus labrax
  Intensive mariculture of juvenile gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) depends on early morphological screening to contain deformity rates below market thresholds (< 3%), yet this process still relies almost exclusive…
  datacite Alvarez-Osuna, Javier, Francisco-Fernández, Vilor 2026 置信度 0.66 Aquaculture/classificationmorphological deformitymulti-label classificationYOLOResNet
• Artificial Intelligence (AI) in Early Detection of Skin Cancer
  Skin cancer is a growing health problem that is becoming quite common in many populations around the world. Current estimates suggest that between 2 million and 3 million new cases of non-melanoma and melanoma skin cancers will occur globally in 2024 and 2025.…
  datacite Atish Pathak, Kesar Bankar* 2026 置信度 0.66 Artificial intelligence, skin lesions, convolutional neural network (CNNs), deep learning, machine learning
• Artificial Intelligence (AI) in Early Detection of Skin Cancer
  Skin cancer is a growing health problem that is becoming quite common in many populations around the world. Current estimates suggest that between 2 million and 3 million new cases of non-melanoma and melanoma skin cancers will occur globally in 2024 and 2025.…
  datacite Atish Pathak, Kesar Bankar* 2026 置信度 0.66 Artificial intelligence, skin lesions, convolutional neural network (CNNs), deep learning, machine learning
• Machine Learning Approaches for Autism Spectrum Disorder Detection: A Systematic Review of Age-Specific Applications and Performance Metrics
  Autism Spectrum Disorder is one of the biggest concerns in the healthcare sector, and it's crucial to diagnose it at an early stage for patients with Autism Spectrum Disorder. This review focuses on the use of machine learning in diagnosing Autism Spectrum Dis…
  datacite Patil, Pooja Amrish, Patil, Jaydeep, Patil, Sangram T. 2025 置信度 0.66 Autism Spectrum Disorder; Machine Learning; Deep Learning; Federated Learning; Healthcare Informatics
• Machine Learning Approaches for Autism Spectrum Disorder Detection: A Systematic Review of Age-Specific Applications and Performance Metrics
  Autism Spectrum Disorder is one of the biggest concerns in the healthcare sector, and it's crucial to diagnose it at an early stage for patients with Autism Spectrum Disorder. This review focuses on the use of machine learning in diagnosing Autism Spectrum Dis…
  datacite Patil, Pooja Amrish, Patil, Jaydeep, Patil, Sangram T. 2025 置信度 0.66 Autism Spectrum Disorder; Machine Learning; Deep Learning; Federated Learning; Healthcare Informatics
• Federated Ensemble Forecasting Under Supply-Chain Market Volatility
  Supply chain forecasting systems increasingly operate under market shocks, non-identically distributed regional demand, and limited willingness to centralize commercial data. This work proposes Federated Ensemble Forecasting with Negative-Correlation Learning …
  datacite Puppala, Shunmukha Sagar 2026 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciences
• ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING ASTHMA MANAGEMENT: A SYSTEMATIC REVIEW
  Asthma affects over 339 million people globally, imposing substantial healthcare costs and reducing quality of life. While Artificial Intelligence (AI) has shown promise in healthcare, a comprehensive evaluation of its role across Asthma Management has been la…
  datacite Mohammed Alotaibi, Tareq Alhmiedat, Ashraf Marei, Anas Bushnag, Fady Alnajjar, Badr Alsayed, Massimiliano L. Cappuccio 2026 置信度 0.66 Artificial Intelligence in Healthcare; Asthma Monitoring; Clinical Decision Support Systems, Predictive Healthcare Analytics.
• ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING ASTHMA MANAGEMENT: A SYSTEMATIC REVIEW
  Asthma affects over 339 million people globally, imposing substantial healthcare costs and reducing quality of life. While Artificial Intelligence (AI) has shown promise in healthcare, a comprehensive evaluation of its role across Asthma Management has been la…
  datacite Mohammed Alotaibi, Tareq Alhmiedat, Ashraf Marei, Anas Bushnag, Fady Alnajjar, Badr Alsayed, Massimiliano L. Cappuccio 2026 置信度 0.66 Artificial Intelligence in Healthcare; Asthma Monitoring; Clinical Decision Support Systems, Predictive Healthcare Analytics.