Accessibility
The International Journal of Medical AI and Intelligent Diagnostics (IJMAID) is committed to improving access to scholarly content, journal services, article pages, navigation, and digital publishing workflows for all users, including persons with disabilities.
1. Commitment to Accessibility
IJMAID aims to provide an inclusive, accessible, and user-friendly digital environment that enables access to journal information, research articles, archives, and policy pages across both desktop and mobile platforms.
Accessibility is an integral part of our continuous improvement strategy, and we actively work to reduce barriers that may affect access to medical AI research and healthcare-related content.
2. Accessibility Standard Target
We strive to design and enhance our website in alignment with the Web Content Accessibility Guidelines (WCAG) 2.2 Level AA.
While we aim for full compliance, some legacy content, datasets, or third-party materials may not yet fully conform to these standards.
3. Measures We Take
To improve accessibility, IJMAID implements the following measures:
- Use of clear heading structures and meaningful page titles
- Improved keyboard navigation and accessible interactive elements
- Readable typography with appropriate spacing and contrast
- Responsive design for different devices and screen sizes
- Improved usability of submission systems, forms, and navigation menus
- Accessible design for buttons, links, and notifications
- Promotion of accessibility best practices in scholarly publishing
4. Accessible Scholarly Content
We encourage authors to prepare manuscripts that follow accessibility best practices, including:
- Logical and well-structured document formatting
- Descriptive headings and section titles
- Clear and meaningful link text
- Alternative text for images, figures, and non-text content
However, due to the nature of academic publishing, some content such as PDFs, medical images, datasets, tables, or externally sourced materials may have accessibility limitations
5. Known Limitations
Some areas of the website may not yet fully meet accessibility expectations, including:
- Older archived articles and legacy content
- Complex medical images, datasets, or multimedia content
- AI model visualizations or technical diagrams
- Third-party integrations or embedded tools
- External documents or linked resources
We are actively working to identify and improve these areas over time.
6. Third-Party Content and Services
Certain features of the website may rely on third-party platforms, such as indexing services, repositories, analytics tools, or hosted documents.
While we strive to use accessible solutions, we do not have full control over the accessibility of third-party services.
7. Feedback, Assistance, and Alternative Access
We welcome feedback on accessibility issues. If you experience difficulty accessing any part of the website or require assistance, please contact us with details.
We will make reasonable efforts to:
- Provide accessible alternatives to content
- Address identified accessibility barriers
- Guide users to alternative access options
8. Review and Updates
This Accessibility Statement may be updated periodically to reflect improvements, changes in accessibility standards, or updates to the website and its services.
Regular review and testing are part of our commitment to continuous accessibility improvement.
9. Contact Information
For accessibility support or feedback, please contact:
Arya College of Engineering & IT (ACEIT)
SP-40, RIICO Industrial Area, Kukas, Delhi Road
Jaipur, Rajasthan – 302028, India
Phone: 0141-2820700, 01426-227701/02
Email: arya@technicaljournals.org
Website: https://www.aryainstitutejpr.com/
This Accessibility Statement should be periodically reviewed and enhanced based on user feedback, accessibility audits, and evolving web standards.