Journal of Artificial Intelligence and Digital Health
JAID
- URL: https://www.confmeets.com/journals/jaid
- Call For Paper Type: Regular
- H2 Index: 0
Computer Networks & Wireless Communication Artificial Intelligence
Confmeets Publishing - Journal of Artificial Intelligence and Digital Health
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 high-quality original research articles, reviews, short communications, case studies, and technical perspectives that advance understanding of artificial intelligence, digital transformation, and computational innovations in healthcare. The journal welcomes contributions on foundational AI technologies for medical applications, including machine learning, deep learning, NLP, medical text mining, explainable AI, and predictive analytics. JAID also encourages submissions in clinical informatics and data-driven medicine, covering EHR analytics, real-time decision-support systems, workflow optimization, and multi-modal data integration. Research on AI-enabled medical imaging, radiomics, computer vision, digital pathology, and intelligent diagnostic systems forms a core part of the journal’s scope. The journal further promotes work in digital health technologies such as wearables, telemedicine, IoT-enabled healthcare networks, smart hospitals, and mobile health solutions. Robotics, automation, and intelligent medical devices—including surgical robots, assistive technologies, and embedded sensor systems—are also key focus areas. JAID supports advances in computational biology, bioinformatics, precision medicine, and AI-driven drug discovery, alongside research in public-health informatics, epidemiological modeling, and population-level analytics. Additional areas of interest include cybersecurity, ethical and privacy-preserving AI, fairness and governance of clinical AI, human–AI interaction, behavioral informatics, and patient-centered digital tools. The journal also welcomes interdisciplinary innovations such as AR/VR-based therapies, blockchain for healthcare, metaverse applications, and emerging technologies that define future digital health ecosystems. Contributions related to AI in hospital operations, workflow automation, smart ICUs, predictive maintenance, and intelligent biomedical sensors further enrich the journal’s comprehensive scope.
Contact us:
WhatsApp: +44 7477 467410
Email: ai@confmeets.net
Website: https://www.confmeets.com/journals/jaid
MANUSCRIPTLINK © 2015 -
