Browse studies, page 357
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- Worldwide Innovative Network Consortium: Building a Common Global Cancer Database JCO global oncology, 2026
- Biological Foundation Models for Complex Disease Research and Clinical Translation Biology, 2026
- Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review Journal of medical Internet research, 2026
- The historical evolution, technological transformation, and future vision of personalized medicine: a narrative review Personalized medicine, 2026
- Machine Learning and Deep Learning for Neurological Disease Analysis: A Systematic Review Across Five Major Disorders Neuroscience, 2026
- From Reactive to Proactive Healthcare: Synergizing Wearable Biomarkers and Machine Learning in Digital Therapeutics Bioengineering (Basel, Switzerland), 2026
- A Comprehensive Review of Artificial Intelligence for Brain Tumor Analysis: Taxonomy, Robustness, and Open Challenges in Neuro-Oncology Journal of imaging, 2026
- The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions Sensors (Basel, Switzerland), 2026
- Integrating Artificial Intelligence with Gamification in Medical Education: A Pedagogically Grounded Framework and Critical Review Advances in medical education and practice, 2026
- Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field Neurology and therapy, 2026
- From Pixel Understanding to Semantic Insight: Intelligent Detection in Sensor-Driven Perception Systems Sensors (Basel, Switzerland), 2026
- Artificial Intelligence for Neonatal and Perinatal Mortality Prevention: A Systematic Review of Machine Learning and Deep Learning Applications Healthcare (Basel, Switzerland), 2026
- Securing Data in Vehicles: Privacy-Preserving Frameworks for Dynamic CAV Environments Sensors (Basel, Switzerland), 2026
- Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping review Artificial intelligence in medicine, 2026
- Model centric collaboration reduces data sharing barriers in medical artificial intelligence Discover artificial intelligence, 2026
- Artificial intelligence in prostate biopsy: diagnostic applications, risk stratification, and precision oncology Frontiers in oncology, 2026
- Federated Learning in Healthcare Ethics: A Systematic Review of Privacy-Preserving and Equitable Medical AI Healthcare (Basel, Switzerland), 2026
- Federated Learning for Histopathology Image Classification: A Systematic Review Diagnostics (Basel, Switzerland), 2026
- Sensor-Driven Deep Learning for Smart Home Intelligence: Signal Analysis, Multimodal Perception, and System-Level Applications Sensors (Basel, Switzerland), 2026
- Artificial intelligence in orbital diseases: Opportunities, challenges, and future horizons Survey of ophthalmology, 2026
- Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus BMC medical informatics and decision making, 2026
- AI-driven diagnostic and prognostic models for metabolic dysfunction-associated steatotic liver disease: insights from clinical, imaging, and multi-omics studies-a scoping review Frontiers in medicine, 2026
- Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance Biomedical engineering online, 2026
- Advancing cancer drug discovery through the integration of machine learning and high-throughput screening Future medicinal chemistry, 2026
- Artificial intelligence for child health: current capabilities and the next frontier Archives of disease in childhood, 2026
- Explainable AI Approaches in Federated Learning: Systematic Review JMIR AI, 2026
- Artificial intelligence in toxicology: current advances, challenges and future directions Archives of toxicology, 2026
- A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects Micromachines, 2026
- A Review of Federated Large Language Models for Industry 4.0 Sensors (Basel, Switzerland), 2026
- AI-driven biosensing technology for early disease detection: A comprehensive review Technology and health care : official journal of the European Society for Engineering and Medicine, 2026
- Integrating AI-enhanced kinase enrichment analysis (KEA) with geometric deep learning and federated learning for precision drug repurposing Drug discovery today, 2026
- Artificial Intelligence-Empowered "Walking Hospitals": A Narrative Review of Innovative Models and Ecosystem Construction in Rural Healthcare International journal of general medicine, 2026
- The next frontier in sepsis: connected ICU data for real-world clinical decision making Intensive care medicine, 2026
- Research progress and challenges of multimodal deep learning models for prognosis of gastric cancer Discover oncology, 2026
- The benefits and biases of artificial intelligence in microbiology Computational biology and chemistry, 2026
- Decoding cancer with artificial intelligence: Transforming research, diagnosis, and therapy with future insights Translational oncology, 2026
- A Review of Adversarial Example Detection in IoT Sensor Networks: Methods, Evaluation, and Edge Deployment Constraints Sensors (Basel, Switzerland), 2026
- Ethical and Governance Challenges of AI in Medical Imaging and Diagnostics: A Systematic Survey and Policy Framework Recommendations Healthcare (Basel, Switzerland), 2026
- Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps Sensors (Basel, Switzerland), 2026
- Artificial Intelligence and Genomic Data Analysis: New Frontiers in Precision Medicine International journal of molecular sciences, 2026
- Privacy, Security & Governance Frameworks for AI-Powered Wearable Internet of Health Things in Elderly Care: A Comprehensive Review Risk management and healthcare policy, 2026
- From algorithmic innovation to clinical deployment: A systematic review of methodological gaps limiting federated learning in healthcare International journal of medical informatics, 2026
- Data-Driven Approaches for Autism Detection: A Comprehensive Review of Machine Learning Algorithms and Datasets International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience, 2026
- Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation Journal of arrhythmia, 2026
- From Integrated Care to Learning Systems Healthcare (Basel, Switzerland), 2026
- Mapping Machine Learning-Driven Cybersecurity Solutions in Health Care: Scoping Literature Review Journal of medical Internet research, 2026
- AI-Driven Dentistry and Public Health Surveillance: Opportunities and Challenges Public health challenges, 2026
- Data Privacy, Ownership, and Secondary Use of Clinical Data Generated by Continuous Glucose Monitors and Mobile Health Applications: A Review Journal of diabetes science and technology, 2026
- Federated Learning in Edge Computing: Vulnerabilities, Attacks, and Defenses-A Survey Sensors (Basel, Switzerland), 2026
- A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions Frontiers in big data, 2026
- Towards Acoustic Bioindicator Integration in AI-Based Wildfire Monitoring: A Systematic Review Sensors (Basel, Switzerland), 2026
- Human digital twins in personalized and predictive healthcare: a comprehensive review of technologies, applications, and future directions Frontiers in digital health, 2026
- Machine learning-based risk prediction models for type 2 diabetes in primary care: a scoping review Frontiers in public health, 2026
- Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney Care Clinics and practice, 2026
- A systematic review and evaluation framework for IoB-based adaptive health coaching systems Frontiers in digital health, 2026
- Federated learning: A new frontier in the exploration of multi-institutional medical imaging data Computer methods and programs in biomedicine, 2026
- Artificial Intelligence and Digital Biomarkers for Early Detection and Monitoring of Neurological Disorders: A Narrative Review Diagnostics (Basel, Switzerland), 2026
- Artificial intelligence-based intrusion detection for the internet of medical things: Practical insights and a critical survey Artificial intelligence in medicine, 2026
- Artificial Intelligence-Powered One Health: A Predictive Framework for Managing Persistent Chemical Threats across Human, Animal, and Environmental Systems Global challenges (Hoboken, NJ), 2026
- Responsible artificial intelligence in medical imaging: a systematic review Frontiers in digital health, 2026
- Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends Sensors (Basel, Switzerland), 2026
- Federated Computing in Orthopaedic Surgery: A Paradigm Shift in Collaborative Multicenter Research The Journal of bone and joint surgery. American volume, 2026
- Multi-Task and Federated Learning for Breast and Lung Cancer Screening and Diagnosis: A Survey and Future Research Directions Journal of imaging, 2026
- From Prediction to Intervention: Artificial Intelligence for Adaptive Response and Toxicity Modeling in Cellular Therapies for Hematologic Malignancies Cancers, 2026
- Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment framework Frontiers in digital health, 2026
- Performance of federated learning models in health services research: A systematic review and meta-analysis Advances in medical sciences, 2026
- Distributed Artificial Intelligence for IoT Security: A Structured Review Sensors (Basel, Switzerland), 2026
- From Algorithmic Performance to Clinical Translation: Translational Readiness of Imaging-Based Artificial Intelligence in Dentistry-A Systematic Review Healthcare (Basel, Switzerland), 2026
- Federated learning for cardiovascular disease prediction: a systematic review of clinical applications, validation, and translation readiness Frontiers in cardiovascular medicine, 2026
- Patient-governed agentic health data exchange npj health systems, 2026
- The Digital Transformation of Rehabilitation Medicine: A Narrative Review of Artificial Intelligence Innovations, Clinical Integration, and Future Paradigms Journal of evaluation in clinical practice, 2026
- Secure healthcare data management using federated learning, blockchain, and explainable artificial intelligence: a systematic review Frontiers in digital health, 2026
- Intelligent Real-Time Healthcare and Biomedical Monitoring Systems: A Narrative Review of AI, IoT, and Emerging Technologies Bioengineering (Basel, Switzerland), 2026
- AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions Frontiers in big data, 2026
- Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence International dental journal, 2026
- The Evolving Security of the Internet of Vehicles: A Survey from Classical Machine Learning to Large Language Models, Adversarial Robustness, and Explainable AI Sensors (Basel, Switzerland), 2026
- Trustworthy AI-Powered Intrusion Detection for the Internet of Medical Things (IoMT): A Review Sensors (Basel, Switzerland), 2026
- Safeguarding biomedical AI: a critical scoping review of privacy-enhancing technologies, hybrid approaches, and deployment models Frontiers in digital health, 2026
- Multimodal large language models for medical image diagnosis: Challenges and opportunities Journal of biomedical informatics, 2025
- Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data Journal of personalized medicine, 2023
- The balance between artificial and human intelligence in clinical practice The Journal of hand surgery, European volume, 2026
- Artificial Intelligence for Noninvasive Health Diagnostics ACS sensors, 2025
- Federated learning in computational pathology: a literature review Journal of medical imaging (Bellingham, Wash.), 2025
- AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions Sensors (Basel, Switzerland), 2025
- Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets Quantitative imaging in medicine and surgery, 2021
- Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges Journal of cloud computing (Heidelberg, Germany), 2022
- AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management Sensors (Basel, Switzerland), 2025
- Artificial Intelligence in Pulmonary Hypertension: Current State and Future Prospects Reviews in cardiovascular medicine, 2026
- A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics Computational intelligence and neuroscience, 2023
- Federated electronic health records for the European Health Data Space The Lancet. Digital health, 2023
- Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment International urology and nephrology, 2026
- A Blockchain and Artificial Intelligence-Based, Patient-Centric Healthcare System for Combating the COVID-19 Pandemic: Opportunities and Applications Healthcare (Basel, Switzerland), 2021
- Artificial intelligence in hemovigilance: A narrative review on advancing blood safety and monitoring systems Digital health, 2025
- Recent methodological advances in federated learning for healthcare Patterns (New York, N.Y.), 2024
- Current Imaging Approaches for Pediatric Brain Tumors No shinkei geka. Neurological surgery, 2025
- Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal Computers in biology and medicine, 2023
- Artificial intelligence-enabled multi-omics biomarkers for immune checkpoint blockade: mechanisms, predictive modeling, and clinical translation Frontiers in immunology, 2026
- Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture Cell reports. Medicine, 2024
- GDP vs. LDP: A Survey from the Perspective of Information-Theoretic Channel Entropy (Basel, Switzerland), 2022
- Federated Learning in Smart City Sensing: Challenges and Opportunities Sensors (Basel, Switzerland), 2020
