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:

1. Medical imaging analysis
2. Clinical decision support systems
3. Healthcare data analytics
4. Personalized medicine
5. Healthcare operations optimization
6. Telemedicine and remote patient monitoring
7. Ethical and regulatory considerations in healthcare AI and ML

Publication Types: JHAM publishes various types of scholarly works, including:

1. Original research articles
2. Review articles
3. Case studies and applications
4. Perspectives and opinion pieces
5. Letters to the editor

Audience: JHAM caters to a diverse audience, including:

1. Researchers and academics in AI, ML, and healthcare informatics
2. Clinicians and healthcare professionals seeking to leverage AI and ML technologies
3. Industry professionals in healthcare IT, medical device manufacturing, and pharmaceuticals
4. Policymakers and regulators involved in shaping healthcare policies and regulations
5. 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.