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About the Journal
International Journal of AI-Assisted Medicine (IJAAM) - Journal Description:
The International Journal of AI-Assisted Medicine (IJAAM) is a prestigious publication dedicated to advancing the integration of artificial intelligence (AI) technologies into various aspects of medical practice and healthcare delivery. IJAAM provides a comprehensive platform for researchers, clinicians, and industry professionals to disseminate innovative research findings, state-of-the-art methodologies, and transformative applications that harness the power of AI to improve patient care, diagnosis, treatment, and outcomes.
Mission: IJAAM aims to accelerate the adoption and integration of AI technologies in medicine and healthcare, promoting evidence-based approaches, interdisciplinary collaborations, and ethical considerations. The journal seeks to facilitate knowledge exchange, innovation, and translation of AI research into clinical practice, ultimately enhancing healthcare quality, efficiency, and accessibility worldwide.
Scope: IJAAM covers a wide range of topics at the intersection of AI and medicine, including but not limited to:
- AI-driven medical imaging and diagnostics
- Clinical decision support systems
- Predictive modeling and risk stratification
- Precision medicine and personalized treatment
- Natural language processing in healthcare
- Health informatics and electronic health records
- Telemedicine and remote patient monitoring
- AI ethics, privacy, and regulatory considerations
Publication Types: IJAAM publishes original research articles, review articles, case studies, and application notes, providing insights into the development, validation, and deployment of AI-assisted medical technologies. The journal also welcomes perspectives, commentaries, and opinion pieces on emerging trends, challenges, and opportunities in AI-assisted medicine.
Audience: IJAAM caters to a diverse audience, including researchers and academics in AI, machine learning, and medical informatics, healthcare professionals and clinicians, industry professionals in healthcare IT and medical device manufacturing, policymakers and regulators, students, and educators interested in AI-assisted medicine.