Journal of Artificial Intelligence in Healthcare and FinTech Systems

Aims & Scope

The Journal of Artificial Intelligence in Healthcare and FinTech Systems (JAIHFS) aims to advance the frontiers of research and innovation at the convergence of artificial intelligence (AI), healthcare systems, and financial technologies. The journal serves as a global platform for disseminating high-impact research that leverages intelligent computational techniques to address complex challenges in medical sciences and financial ecosystems.

Aims

JAIHFS is committed to:

• Promoting cutting-edge research in AI-driven methodologies applied to healthcare and FinTech domains.
• Encouraging interdisciplinary collaboration among researchers, clinicians, data scientists, financial analysts, and industry practitioners.
• Bridging the gap between theoretical AI advancements and real-world applications in healthcare delivery and financial services.
• Supporting innovations that enhance efficiency, accuracy, security, and decision-making in critical systems.
• Providing a credible platform for emerging technologies such as explainable AI, blockchain, IoT, and cloud computing in regulated environments.

Scope

The journal welcomes original research articles, review papers, case studies, and technical communications in, but not limited to, the following areas:

1. Artificial Intelligence in Healthcare

• AI-based diagnostics and clinical decision support systems
• Medical image processing and computer vision in healthcare
• Predictive analytics for disease detection and prevention
• Personalized and precision medicine using AI
• Natural language processing (NLP) in electronic health records (EHR)
• AI in drug discovery, genomics, and bioinformatics
• Remote patient monitoring, telemedicine, and digital health platforms
• Robotics and automation in surgery and rehabilitation

2. AI in FinTech Systems

• Algorithmic trading and intelligent financial forecasting
• Fraud detection, anomaly detection, and risk assessment models
• Credit scoring and financial inclusion using machine learning
• Robo-advisory systems and automated portfolio management
• Blockchain technologies, cryptocurrencies, and decentralized finance (DeFi)
• Regulatory technologies (RegTech) and compliance automation
• AI in banking, insurance (InsurTech), and payment systems

3. Data Science and Computational Intelligence

• Machine learning, deep learning, and reinforcement learning models
• Big data analytics in healthcare and finance
• Data mining, pattern recognition, and predictive modeling
• Cloud computing and edge AI applications
• Explainable AI (XAI), fairness, accountability, and transparency

4. Security, Privacy, and Ethics

• Data security and privacy-preserving AI techniques
• Cybersecurity in healthcare and financial systems
• Ethical implications of AI in sensitive domains
• Trustworthy AI and regulatory compliance frameworks

5. Emerging Technologies and Applications

• Internet of Things (IoT) in healthcare and smart financial systems
• Digital twins, smart hospitals, and intelligent financial infrastructures
• Human-AI interaction and decision intelligence
• AI for pandemic management and financial crisis prediction

Interdisciplinary Focus

JAIHFS strongly emphasizes research that integrates multiple disciplines, including computer science, medical sciences, economics, finance, and engineering. Submissions that demonstrate cross-domain innovation and real-world impact are particularly encouraged.

Target Audience

The journal is intended for:

• Academicians and researchers in AI, healthcare, and finance
• Healthcare professionals and biomedical researchers
• Financial analysts, FinTech developers, and banking professionals
• Industry experts, policymakers, and regulatory authorities
• Graduate and postgraduate students in relevant disciplines

Article Types Accepted

• Original Research Papers
• Review Articles
• Case Studies
• Short Communications
• Technical Notes