Aim and Scope
The Journal of Artificial Intelligence Clinical Care and Technology (JAICCT) is an international, peer‑reviewed hybrid open‑access journal dedicated to advancing the integration of artificial intelligence, machine learning, and emerging digital technologies into clinical practice and healthcare delivery. The journal aims to serve as a multidisciplinary platform connecting AI researchers, clinicians, healthcare technologists, data scientists, and policymakers.
The journal publishes high‑quality research that addresses the design, development, validation, deployment, and evaluation of AI‑driven tools in real‑world clinical settings. Areas of interest include (but are not limited to):
- Clinical decision support systems powered by AI
- Machine learning, deep learning, and foundation models in health, medicine, and dentistry
- Medical and dental image analysis and intelligent diagnostics
- Predictive analytics, patient risk stratification, and early warning systems
- AI‑enabled clinical workflows, automation, and robotics
- Digital health, wearable sensors, remote monitoring, and telemedicine
- Responsible, ethical, and explainable AI in healthcare
- Clinical trials and real‑world validation of AI technologies
- Big data analytics, data governance, interoperability, and health information systems
- Applications of AI in dentistry, surgery, emergency care, critical care, oncology, cardiology, neurology, and other medical specialties
JAICCT welcomes original research articles, clinical studies, systematic reviews, meta‑analyses, technical reports, methodological papers, case studies, rapid communications, and invited reviews that contribute to the advancement of AI in clinical practice.