Journal of Intelligent Computing and Health Informatics (JICHI)

Aims

The Journal of Intelligent Computing and Health Informatics (JICHI) is an international, peer-reviewed medium dedicated to the dissemination of high-quality research at the intersection of Artificial Intelligence, Computational Intelligence, and Biomedical Engineering. The journal aims to bridge the gap between theoretical computing advancements and practical healthcare applications, fostering a dialogue between computer scientists, clinicians, and data analysts. JICHI prioritizes submissions that demonstrate methodological rigor in intelligent algorithms alongside clear, demonstrable implications for clinical practice, public health, or medical systems.

Scope

We invite original research articles, reviews, and technical notes that address complex challenges in the medical and life sciences domains through advanced computing methods. The journal’s scope focuses on, but is not limited to, three core pillars:

Intelligent Computing Methodologies Focusing on the development of novel algorithms with potential applications in biomedicine. Topics include:

Advanced AI & Machine Learning: Deep learning architectures, reinforcement learning, and explainable AI (XAI) for medical decision-making.
Computer Vision & Pattern Recognition: Novel techniques in image segmentation, registration, and classification applied to medical imaging.
Bio-inspired & Evolutionary Computing: Genetic algorithms, swarm intelligence, and neural networks modeled for biological problem-solving.
Optimization & Complexity: Scheduling, heuristic optimization, and chaos theory applied to biological signal processing or resource allocation in healthcare.
Health Informatics & Digital Health Systems Focusing on the architecture, implementation, and evaluation of health information technologies. Topics include:
Clinical & Hospital Information Systems: Electronic Health Records (EHR), interoperability standards (HL7/FHIR), and intelligent clinical decision support systems (CDSS).
Telehealth & IoT: Wearable sensors, remote patient monitoring, and edge computing for real-time health analytics.
Medical Diagnostics & Analytics: Automated diagnostic tools, predictive modeling for disease outbreaks, and biostatistical analysis.
Security & Privacy: Blockchain applications in health data, privacy-preserving data mining, and ethical considerations in medical AI.
Interdisciplinary Applications Focusing on integrative studies that merge data science with life sciences. Topics include:
Bioinformatics & Computational Biology: Genomic data analysis, protein structure prediction, and systems biology.
Health Economics & Policy: Data-driven approaches to health policy analysis, resource management, and technology assessment.
Human-Centered Healthcare: Integration of behavioral science with AI, user experience (UX) in medical devices, and ICT for health promotion and education.
Alignment with UN Sustainable Development Goals (SDGs)

JICHI is deeply committed to advancing global sustainability. By publishing cutting-edge research at the intersection of artificial intelligence and healthcare, this journal directly supports SDG 3 (Good Health and Well-being) through the promotion of innovative medical diagnostics, digital health systems, and epidemiological analytics. Furthermore, by fostering advancements in intelligent computing methodologies, JICHI contributes to SDG 9 (Industry, Innovation, and Infrastructure), building resilient and ethical technological frameworks for the future of medicine.