Publication2026
An Overview and Methodical Strategy to Counteract the Medical Data Shortage for AI Applications
The record
- Type
- Publication
- Date
- 19 June 2026
- Level
- International — held abroad
- Journal
- International Journal of Online and Biomedical Engineering
- Volume
- 22
- Issue
- 6
- Pages
- 139-155
- Published
- 19 June 2026
- DOI
- 10.3991/ijoe.v22i06.61535
- Scopus ID
- 105043895770
- ISSN
- 26268493
- Authors
- 3
- Open access
- Yes
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- ID, IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Healthcare systems improvement through AI approaches addressing medical data shortage, bias reduction, and machine learning model fairness in health applications.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Machine learning and artificial intelligence methodologies for healthcare systems represent research innovation in applied AI technology.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Healthcare systems strengthening through AI fairness and trustworthy machine learning models directly supports health and well-being improvement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “An Overview and Methodical Strategy to Counteract the Medical Data Shortage for AI Applications”. Kortex.