About the Journal
The Journal of Artificial Intelligence and Digital Health is an international, peer-reviewed, open-access journal dedicated to advancing the future of healthcare through the integration of artificial intelligence, machine learning, and emerging digital technologies. Committed to bridging the gap between computational innovation and real-world clinical practice, the Journal of Artificial Intelligence and Digital Health publishes high-quality articles across a wide range of topics, including AI-driven diagnostics, digital therapeutics, medical imaging, predictive analytics, telemedicine, wearable health technologies, robotics in healthcare, health informatics, and intelligent decision-support systems. With a focus on innovation, accuracy, and global healthcare advancement, the journal serves as a platform for researchers, clinicians, engineers, data scientists, and industry professionals to share their findings, exchange ideas, and collaborate across disciplines.
Every submission undergoes a rigorous single-blind peer-review process, ensuring scientific integrity, constructive feedback, and international visibility for authors. As part of our open-access vision, all published articles are freely available to readers worldwide, enabling broad dissemination of knowledge and supporting advancements in digital healthcare ecosystems. In addition to traditional research formats, the Journal of Artificial Intelligence and Digital Health welcomes technical reviews, system architecture papers, clinical AI evaluations, case studies, and interdisciplinary perspectives that reflect the rapidly evolving nature of intelligent healthcare systems. Our editorial mission is guided by a commitment to scholarly excellence, ethical publishing practices, and the belief that AI-enhanced healthcare has the power to revolutionize medical outcomes and empower global wellbeing.
By inviting contributions from both emerging innovators and established experts, the journal fosters academic inclusivity, technological progress, and international collaboration. With a fast, transparent publishing workflow, dedicated editorial support, and strong digital reach, the Journal of Artificial Intelligence and Digital Health stands as a trusted resource for authors aiming to share impactful work and for readers seeking to stay informed about cutting-edge developments in artificial intelligence and digital health transformation.
Aim and Scope
Journal of Artificial Intelligence and Digital Health (JAID) publishes original research articles, reviews, short communications, case studies, and technical perspectives that explore every dimension of artificial intelligence, digital transformation, and computational innovations in healthcare. We welcome submissions across a wide spectrum of thematic areas, including (but not limited to):
Foundations of Artificial Intelligence in Healthcare
- Machine learning, deep learning, and neural network architectures for medical applications
- AI-driven diagnostic models, decision-support systems, and predictive analytics
- Natural language processing (NLP), medical text mining, and automated clinical documentation
- Explainable AI, model interpretability, and trustworthiness in medical AI
Clinical Informatics & Data-Driven Medicine
- Electronic health records (EHR) analytics, health data engineering, and data mining
- Real-time clinical decision systems and patient-risk stratification
- Clinical workflow optimization and AI-enabled hospital management
- Multi-modal health data integration, image–signal–text fusion, and knowledge graphs
Medical Imaging, Radiomics & Intelligent Diagnostics
- AI-enabled medical imaging analysis (CT, MRI, PET, ultrasound, X-ray)
- Radiomics, image segmentation, feature extraction, and automated classification
- Computer vision for disease detection and progression monitoring
- Imaging informatics, digital pathology, and virtual microscopy
Digital Health Technologies & Smart Healthcare Systems
- Wearable sensors, remote monitoring devices, and physiological data analytics
- Telemedicine, telehealth platforms, and virtual clinical services
- Smart hospitals, IoT-enabled healthcare networks, and connected medical systems
- Mobile health (mHealth), digital therapeutics, and patient engagement technologies
Robotics, Automation & Intelligent Medical Devices
- Healthcare robotics, surgical robots, and rehabilitation robotics
- Intelligent prosthetics, assistive devices, and autonomous care systems
- Robotic process automation (RPA) for healthcare administration
- Sensor-embedded medical devices and AI-driven monitoring technologies
Computational Biology, Bioinformatics & Precision Health
- Genomic data analysis, AI-assisted sequencing, and biomarker discovery
- Computational biology models, systems biology, and network medicine
- Personalized medicine, risk prediction, and precision therapeutics
- AI-enabled drug discovery, target identification, and computational pharmacology
Public Health Informatics & Population-Level Analytics
- Epidemiological modeling, disease surveillance, and outbreak prediction
- Public-health data systems, AI for community healthcare, and policy modeling
- Environmental health analytics and social-determinants modeling
- Population health management and predictive prevention strategies
Cybersecurity, Data Privacy & Ethical AI in Healthcare
- Secure medical data processing, encryption, and privacy-preserving AI
- Regulatory frameworks, compliance strategies, and responsible AI deployment
- Ethical concerns, fairness, bias mitigation, and equitable AI systems
- Governance of clinical AI, risk management, and patient data protection
Human–AI Interaction, Usability & Health Behavior Technologies
- Human-centered AI, usability studies, and user experience in digital health
- Behavioral informatics, digital behavior tracking, and mental-health technologies
- AI-enabled coaching systems, lifestyle analytics, and personalized interventions
- Patient–provider communication tools and augmented decision-making interfaces
Emerging, Interdisciplinary & Applied Digital Health Innovations
- Metaverse healthcare, AR/VR-based therapies, and immersive medical simulations
- Blockchain for healthcare integrity, data sharing, and interoperability
- Cross-disciplinary innovations connecting AI, medicine, engineering, and policy
- Future digital-health ecosystems, global AI-health strategies, and transformative technologies
AI in Clinical Workflow Automation & Hospital Operations
- Predictive maintenance of medical equipment and hospital assets
- Automated appointment scheduling, resource allocation, and patient triaging
- AI-enabled billing systems, administrative automation, and workflow optimization
- Smart ICUs, intelligent monitoring dashboards, and autonomous alert systems
Health Monitoring, Wearable Intelligence & Biomedical Sensors
- Continuous physiological tracking using epidermal and implantable sensors
- Sensor fusion algorithms for multi-parameter health monitoring
- Intelligent biosensors for glucose, cardiac, respiratory, and neurological assessments
- Next-generation wearables for early disease detection and real-time diagnostics
AI for Mental Health, Cognitive Analytics & Emotion Computing
- Emotion recognition, sentiment modeling, and behavioral prediction
- AI-driven mental health assessments and early detection of psychological disorders
- Digital biomarkers for cognitive decline, depression, anxiety, and stress
- Virtual therapists, conversational AI, and psychological support systems
Smart Public Health Systems & Environmental Health Analytics
- AI for climate-sensitive disease modeling and environmental health prediction
- Pollution-health analytics, heat-stress forecasting, and urban health modeling
- Digital public-health infrastructure and community-level health interventions
- Technological solutions for epidemic preparedness and resilience
Healthcare Supply Chain, Logistics & AI-Driven Operations
- Predictive inventory management and automated pharmaceutical distribution
- Cold-chain monitoring, vaccine storage intelligence, and supply-chain optimization
- AI-based drug demand forecasting and logistics management
- Blockchain-enhanced traceability for medical products and consumables
AI for Rehabilitation, Assistive Intelligence & Physical Therapy
- Intelligent exoskeletons and robot-assisted rehabilitation systems
- AI-driven gait analysis, neuromuscular assessment, and mobility restoration
- Virtual physical therapy platforms with personalized recovery plans
- Assistive intelligence for disabilities, aging populations, and support care
Digital Twin Technology in Healthcare
- Patient-specific digital twins for personalized treatment planning
- Virtual anatomical models for surgical simulation and training
- Organ-level digital twins for predictive physiology and disease progression
- Hospital digital twins for operational forecasting and resource optimization
Pharmaceutical AI, Drug Safety & Regulatory Technology (RegTech)
- AI-based adverse drug reaction (ADR) detection and pharmacovigilance
- Automation of clinical trial monitoring, patient enrollment, and compliance
- Regulatory intelligence, policy modeling, and algorithmic auditing for medical AI
- AI-driven optimization of manufacturing, quality control, and supply processes
AI for Global Health Equity, Accessibility & Humanitarian Healthcare
- Low-cost AI innovations for underserved and remote communities
- Mobile diagnostics, portable imaging, and decentralized care models
- Global health informatics and equity-focused digital interventions
- AI-based resource mapping, crisis response, and humanitarian relief systems
Next-Generation Computing for Healthcare
- Quantum computing applications in drug discovery and biological simulations
- Edge computing for real-time medical analytics at point-of-care
- Cloud-based health architectures and high-performance medical computing
- Federated learning, distributed AI, and collaborative intelligence in medicine
Neurotechnology, Brain–Computer Interfaces & Cognitive Augmentation
- Brain–computer interfaces (BCI) for communication, control, and rehabilitation
- AI-powered neural signal decoding and cognitive state monitoring
- Non-invasive and implantable neurotechnology for therapeutic use
- Cognitive enhancement interfaces and AI-assisted neurofeedback systems
Digital Biomarkers, Physiological Signal Intelligence & Biosignal AI
- AI-driven extraction of digital biomarkers from speech, gait, and micro-movements
- Advanced biosignal analytics: EEG, ECG, EMG, PPG, fNIRS
- Early disease detection using micro-pattern recognition in physiological signals
- Digital phenotyping and continuous behavioral health modeling
AI in Surgical Planning, Simulation & Intraoperative Guidance
- Intelligent preoperative planning systems and anatomical mapping
- AI-guided surgical navigation and augmented intraoperative imaging
- Virtual surgical training modules with real-time feedback
- Autonomous robotic assistance and precision surgical intelligence
Advanced Health Interoperability & Intelligent Data Exchange
- HL7 FHIR-based smart interoperability systems
- Intelligent middleware for cross-platform health data integration
- Secure AI-powered health data exchange networks
- Automated harmonization of multi-provider electronic records
Predictive Genomics, Multi-Omics & AI-Driven Integrated Biology
- AI models integrating genomics, proteomics, metabolomics, and transcriptomics
- Multi-omics signatures for early diagnosis and disease susceptibility
- Cross-omics network mapping for precision interventions
- Evolutionary and comparative genomics using deep-learning approaches
AI for Virtual Care Ecosystems & Continuous Digital Clinics
- Autonomous virtual clinics with automated triaging and follow-up
- AI-assisted home-based chronic disease management
- Fully digital care pathways and remote therapeutic monitoring
- Ambient intelligence in home environments for passive care
Synthetic Data, Medical Data Augmentation & Privacy-Preserving AI
- Synthetic patient data generation for safe model training
- GAN-based augmentation for medical imaging and rare conditions
- Zero-knowledge proofs and advanced anonymization technologies
- Secure multiparty computation & privacy-preserving health analytics
AI for Emergency Medicine, Critical Care & Rapid Response
- Real-time deterioration prediction in emergency and critical-care units
- AI triage algorithms for mass-casualty or high-demand situations
- Predictive models for sepsis, cardiac arrest, and respiratory failure
- Intelligent rapid-response coordination in emergency departments
Immersive Health Technologies & Mixed-Reality Diagnostics
- Mixed-reality (MR) solutions for diagnostic enhancement and clinical training
- AI-enabled 3D reconstructions of anatomy and pathology
- Holographic imaging for collaborative medical evaluations
- XR-based rehabilitation and pain management
AI-Enhanced Nutrition Science, Lifestyle Intelligence & Preventive Health
- Personalized nutrition modeling using multi-factor health data
- AI for metabolic health prediction and lifestyle optimization
- Intelligent food recognition systems for dietary analysis
- Preventive health algorithms for risk reduction and wellness planning
AI in Pharmacy Automation & Intelligent Medication Systems
- Robotic dispensing systems with real-time error detection
- Smart medication-adherence systems driven by AI
- Intelligent dosage personalization and drug-interaction prediction
- Pharmacy workflow automation using intelligent agents
Next-Gen Bio-Robotics, Soft Robotics & Human–Machine Synergy
- Soft robotic systems for delicate medical tasks and rehabilitation
- Biohybrid robots combining biological cells with artificial intelligence
- Human–machine collaborative interfaces for enhanced healthcare delivery
- Adaptive robotic systems that learn from patient interaction
Editorial and Peer-Review Policy
Journal of Artificial Intelligence and Digital Health employs a single-blind peer-review process to maintain fairness,
scientific integrity, and the quality of published work.
Key Features:
- Every manuscript is assessed by at least two independent subject experts, along with editorial oversight.
- Reviewers can see author details, but the identities of the authors remain hidden from them.
- The review criteria focus on originality, technical strength, methodological accuracy, ethical compliance, clarity, and relevance to the field of nanoscience.
- All submissions go through plagiarism checks and ethical evaluations before the peer-review process.
- Final decisions on publication are made by the handling editor, based on the reviewers' evaluations and the overall quality of the manuscript.
Publication Frequency & Format
This journal comes out three times a year. Once articles are accepted, they're quickly made available online in both HTML and PDF formats, ensuring fast and easy access to research findings.
Open Access Policy
Journal of Artificial Intelligence and Digital Health embraces a gold open access model, meaning all published articles are freely accessible to everyone. Authors retain the copyright to their work, shared under a suitable open-access license to promote transparency, collaboration, and global knowledge-sharing.
Indexing & Archiving
The journal aims to be included in well-known scientific indexing and abstracting databases. All content is preserved through trusted archiving systems to ensure long-term accessibility and discoverability.
For Manuscript Submission
Authors can submit their manuscripts through the journal's Online Submission System
(Submit Manuscript) or by emailing the Editorial Office at
support@confmeets.com.
Submitted manuscripts must adhere to the Journal of Artificial Intelligence and Digital Health Author Guidelines, which cover structure, formatting,
ethical approvals, and conflict-of-interest disclosures.
Publication Ethics & Integrity
Journal of Artificial Intelligence and Digital Health is committed to maintaining the highest publication ethics standards in accordance with COPE principles.
Authors must ensure proper ethical approvals for studies involving humans, animals, or sensitive materials, and follow informed consent and confidentiality practices.
They must also disclose conflicts of interest and funding support, report data accurately, and acknowledge contributor roles.
All submissions undergo plagiarism checks, and the journal has a strict policy for corrections, retractions, and post-publication updates.
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