Application of Artificial Intelligence in Heath, Psychology and Education

Dear Colleagues, 

Artificial intelligence (AI) has been making waves across various fields, with health, psychology, and education. This Special Issue aims to explore the innovative applications of AI technologies and their impact on these sectors. 

AI in Health 

In health, AI is redefining the continuum of care from early detection to long‑term management. Deep‑learning systems already rival—and in some cases surpass—expert radiologists in oncology, cardiology, and neurology, while image‑analysis platforms comb pathology slides in seconds to spot cellular abnormalities that conventional methods can miss. Beyond imaging, predictive analytics mine electronic health records to flag high‑risk patients before symptoms appear, enabling timely, cost‑saving prevention. AI also drives personalized treatment: machine‑learning algorithms fuse genomic, proteomic, and longitudinal data to craft patient‑specific regimens, pharmacogenomic tools fine‑tune drug choices to minimize side effects, and continuous remote monitoring updates therapy in real time for chronic‑disease management. 

At the system level, AI streamlines operations and elevates patient engagement. Predictive models forecast admissions, optimize bed use, and guide staffing; natural‑language processing automates documentation to free clinicians for direct care; and chatbots handle scheduling, billing questions, and reminders, boosting satisfaction while easing administrative load. Virtual assistants extend support beyond the clinic by answering health queries, triaging symptoms, and delivering post‑discharge instructions—measures that strengthen adherence and curb readmissions. 

AI in Psychology 

In psychology, AI impacts psychological variables, as motivation, self-efficacy, well-being, openness, agreeableness, and emotions regulation. Being responsive to human needs and their questions, AI tools can enhance the previous variables and others. They can also lessen one’s stress, anxiety, and negative emotions. Researchers in the psychology field are invited to contribute to the Special Issue, writing about the different psychological variables in AI environments. Descriptive, correlational, and experimental research are welcome, in addition to review research. 

AI in Education 

In education, as artificial intelligence (AI) continues to reshape various sectors, its impact on education has become increasingly significant. This Special Issue, with a sub-focus on education, welcomes manuscripts on AI in teaching, learning, well-being, education policy, and curriculum development. Aiming to explore the diverse ways AI technologies are being integrated into educational environments, this Special Issue invites scholars, educators, practitioners, and researchers to contribute articles that address the intersection of AI with the above areas in educational contexts. 

• Key Topics:

  AI Applications in Educational Settings

  • Innovative AI tools and platforms for teaching and learning;
  • Case studies on successful AI integrations in classrooms. 

  Personalized Learning Experiences

  • AI-driven adaptive learning technologies;
  • Strategies for fostering individualized learning pathways;
  • Using AI to support academic output among educators and learners. 

  Learning Analytics and Performance

  • Employing AI for data-driven insights into student performance;
  • The role of predictive analytics in enhancing educational outcomes. 

  Ethical Considerations and Challenges

  • Navigating the ethical landscape of AI in education;
  • Addressing biases and equity issues in AI algorithms;
  • Ethical implications of AI on student and teacher. 

  Future Directions and Innovations

  • The role of AI in shaping the future of education;
  • Emerging trends in AI technology and their potential impacts. 

We invite you to submit original articles (both qualitative and quantitative analysis, both cross-sectional and longitudinal studies) and systematic review works. 

We look forward to receiving your contributions to this Special Issue and to the ongoing discourse on the transformative potential of AI in health, psychology, and education.

Dr. Hyunsu Lee
Prof. Dr. Wajeeh Daher
Dr. Dat Bao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. European Journal of Investigation in Health, Psychology and Education is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• machine learning
• deep learning
• medical imaging
• precision medicine
• pharmacogenomics
• predictive analytics
• digital health
• healthcare management
• clinical decision support
• motivational variables
• well-being
• emotions’ regulation with AI tools
• AI Applications in educational settings
• personalized learning experiences
• learning analytics and performance
• ethical considerations and challenges
• future directions and innovations