Confmeets Publishing — Turning Research Into Global Recognition

The Journal of Artificial Intelligence and Digital Health (JAID) is an international, open-access, peer-reviewed journal committed to advancing healthcare through research at the intersection of artificial intelligence, digital technologies, and medicine. Published by Confmeets Publishing, JAID provides a global forum for researchers, clinicians, engineers, data scientists, and industry professionals to share high-quality, evidence-based research that drives innovation in intelligent healthcare systems.

📌 About the Journal

The Journal of Artificial Intelligence and Digital Health publishes original research articles, review papers, short communications, case studies, technical perspectives, and scholarly work covering all dimensions of AI and digital transformation in healthcare.

Publisher: Confmeets Publishing
ISSN: Coming Soon
Frequency: Tri-Annual (Three issues per year)
Publication Model: Open Access
Focus: Artificial intelligence, digital health technologies, machine learning in medicine, healthcare innovation

The journal strives to bridge computational innovation with real-world clinical practice, promoting interdisciplinary research that enhances patient care, health system efficiency, and technology adoption.

🎯 Aim and Scope

JAID welcomes submissions across a wide range of topics related to artificial intelligence and digital technologies in healthcare, including but not limited to:

Artificial Intelligence in Healthcare

  • Machine learning, deep learning and neural architectures for clinical applications
  • AI-driven diagnostic tools, decision-support systems, and predictive analytics
  • Explainable AI, interpretability, and trustworthy AI models in medicine
  • Natural language processing for clinical documentation and medical text mining

Digital Health Technologies

  • Telemedicine, telehealth, and remote patient monitoring
  • Wearable health technology and mobile health (mHealth) solutions
  • Digital therapeutics and virtual care platforms

Health Informatics & Data Systems

  • Health information systems, EHR analytics, interoperability
  • Big data and smart data analytics in clinical decision making

Medical Imaging & Robotics

  • AI-enhanced medical image analysis and computer vision applications
  • Robotics and automation for diagnosis, surgery, and patient care

Emerging Areas in Digital Healthcare

  • Healthcare cybersecurity and data privacy
  • AI in drug discovery and personalized medicine
  • Ethical, legal, and societal implications of AI deployment in health systems

Highlights of the Journal

Key thematic areas emphasized by JAID include:

  • AI-assisted clinical decision support
  • Predictive and precision medicine models
  • Telehealth and digital care innovations
  • Wearable and sensor-based health monitoring
  • Health data analytics and informatics
  • Robotics and automated healthcare delivery
  • Ethical and regulatory considerations in AI healthcare

🔍 Peer Review Process

JAID follows a single-blind peer-review model, where reviewers know the authors’ identities but authors do not know the reviewers. Each submitted manuscript undergoes a rigorous evaluation for scientific integrity, originality, methodological quality, relevance, and ethical compliance.

The review workflow includes:

  • Initial quality and plagiarism check
  • Expert peer review evaluation
  • Editorial decision based on reviewers’ feedback
  • Rapid publication once accepted

 


📝 How to Submit a Manuscript

Authors can submit manuscripts through:

  1. Online Submission Portal: Accessible on the journal website: https://www.confmeets.com/journals/jaid/submit_manuscript
  2. Email Submission: Send your manuscript to:
    📧 support@confmeets.com , ai@confmeets.net

After submission, authors receive a manuscript ID for tracking and communication.

📞 Contact Details

For queries, manuscript support, or editorial communication:
Email: support@confmeets.com, ai@confmeets.net
Mobile: +91 9177731784
Publisher Website: https://www.confmeets.com