Publication2024
Application and fallibility of Artificial Intelligence and machine learning in Diagnostic Pathology
The record
- Type
- Publication
- Date
- 11 March 2024
- Level
- National
- Journal
- Bangladesh Journal of Medical Science
- Volume
- 23
- Issue
- Special issue
- Pages
- S32-S37
- Published
- 11 March 2024
- DOI
- 10.3329/bjms.v23i10.71732
- Scopus ID
- 85188549321
- ISSN
- 22234721
- Authors
- 6
- Open access
- Yes
- Citations
- 3
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Reviews artificial intelligence and machine learning applications in diagnostic pathology including automated diagnosis, image analysis, and precision medicine enabling improved disease detection.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Directly supports health and well-being through review of AI applications in medical diagnostics improving pathology accuracy and clinical decision-making.
- 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.
Evidence
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Provenance
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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. “Application and fallibility of Artificial Intelligence and machine learning in Diagnostic Pathology”. Kortex.