About the Journal
The Journal of Healthcare AI and ML (JHAM) is a leading international publication at the forefront of the intersection between healthcare, artificial intelligence (AI), and machine learning (ML). JHAM serves as a premier platform for researchers, practitioners, and policymakers to disseminate cutting-edge research findings, innovative methodologies, and transformative applications in the rapidly evolving field of AI and ML in healthcare.
Scope: JHAM covers a wide range of topics related to the application of AI and ML in healthcare, including but not limited to:
- Medical imaging analysis
- Clinical decision support systems
- Healthcare data analytics
- Personalized medicine
- Healthcare operations optimization
- Telemedicine and remote patient monitoring
- Ethical and regulatory considerations in healthcare AI and ML
Publication Types: JHAM publishes various types of scholarly works, including:
- Original research articles
- Review articles
- Case studies and applications
- Perspectives and opinion pieces
- Letters to the editor
Audience: JHAM caters to a diverse audience, including:
- Researchers and academics in AI, ML, and healthcare informatics
- Clinicians and healthcare professionals seeking to leverage AI and ML technologies
- Industry professionals in healthcare IT, medical device manufacturing, and pharmaceuticals
- Policymakers and regulators involved in shaping healthcare policies and regulations
- Students and educators interested in healthcare AI and ML research and applications
Editorial Team: The editorial team of JHAM comprises esteemed experts and thought leaders in the fields of healthcare, AI, and ML. Led by an Editor-in-Chief and supported by Associate Editors, Editorial Board Members, and Reviewers, the team ensures the highest standards of scientific integrity, editorial excellence, and scholarly impact.