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An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.

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Title: An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.
Authors: Alsubaie L; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Alsobaie S; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Alhammad N; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia., Aldhubayi L; Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia., Al-Shaikh Y; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Source: Journal of pathology informatics [J Pathol Inform] 2026 May 20; Vol. 22, pp. 100677. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Alsubaie+L%22">Alsubaie L</searchLink>; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alsobaie+S%22">Alsobaie S</searchLink>; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alhammad+N%22">Alhammad N</searchLink>; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Aldhubayi+L%22">Aldhubayi L</searchLink>; Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Al-Shaikh+Y%22">Al-Shaikh Y</searchLink>; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%22101528849%22">Journal of pathology informatics</searchLink> [J Pathol Inform] 2026 May 20; Vol. 22, pp. 100677. <i>Date of Electronic Publication: </i>2026 May 20 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101528849 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2229-5089 (Print) <i>NLM ISO Abbreviation: </i>J Pathol Inform <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.jpi.2026.100677
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        Text: English
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              Text: 2026 May 20
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