Health, Empathy, and AI Learning (HEAL) is an international biannual scientific journal. In the rapidly evolving landscape of modern medicine, the integration of technology often risks overshadowing the fundamental human element of care. Health, Empathy, and AI Learning (HEAL) is established to ensure that the digital revolution in healthcare remains profoundly human-centric. By bridging the gap between advanced computational intelligence and the essential warmth of clinical empathy, HEAL serves as a premier international platform for research that nurtures both the body and the soul.Every submission undergoes a thorough double-blind peer-review process to ensure quality and credibility, with all accepted works accessible to inspire a global audience.
HEAL aspires to become a leading intellectual hub for research that integrates technological innovation with humane healthcare practices while supporting the United Nations Sustainable Development Goals (SDGs), particularly in the domains of health equity, sustainable healthcare systems, and digital inclusion. The journal prioritizes the development of Empathetic Artificial Intelligence and promotes the concept of Orange Technology, which focuses on technologies that foster emotional wellbeing, cultural sensitivity, and social resilience. Its scope encompasses interdisciplinary research including empathetic AI in medical diagnostics, robotic nursing and patient-centered care, AI-driven mental health support systems, preventive community medicine through smart monitoring technologies, and ethical governance of health data. Through these focus areas, HEAL seeks to encourage innovations that not only process complex medical data but also enhance compassionate interactions, equitable healthcare access, and sustainable medical practices across diverse global communities.
| Journal Title | : | Health, Empathy, and AI Learning (HEAL) |
| Language | : | English |
| Print ISSN | : | xxxx-xxxx |
| Online ISSN | : | xxxx-xxxx |
| Frequency | : | 2 issues per year (Biannual), May and November |
| DOI | : | doi.org/10.34306/heal |
| OAI | : | - |
| Citation Analysis | : | Google Scholar |
| Journal Imprint | : | Imprint |
Important Information:
Authors are kindly advised not to contact the Editors-in-Chief, Editors, Advisors, or Mentors of Health, Empathy, and AI Learning (HEAL) directly via telephone. All necessary information and responses to common queries are already provided on the official HEAL website.
Manuscript submission must be carried out exclusively through the official HEAL online submission system available at: Submission Here. Submissions sent by e-mail or through third parties (including agents, freelance editors, or other publisher platforms) will not be considered under any circumstances. Authors are responsible for ensuring that their work is uploaded only through the official system.
Neither HEAL or Sinar Mentari Sundara (Publisher) will respond to, or be held accountable for, any manuscript that has been submitted through unauthorized channels or intermediaries acting in the name of HEAL or Sinar Mentari Sundara (Publisher). Authors are strongly discouraged from sending inquiries or expecting replies from such third parties.
Before submitting the article(s), the author(s) must read the “Publication Ethics” and format the article(s) as per the journal guidelines available at “Duties of Authors” link on journal website. Also, the author(s) must read all instructions & information very carefully before submitting a manuscript through HEAL submission system.
Current Issue
All articles in this issue (10 original research articles) were authored/co-authored by 45 authors from 11 countries: United States, United Kingdom, Singapore, Taiwan, Estonia, New Zealand, India, Malaysia, Indonesia, Thailand, Colombia.















