Research map: From Detection to Decision Support: Advancing AI-Assisted Serum Quality Assessment

Papers in this map

1. The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence · Viknesh Sounderajah · 2025 · 287 citations · Cited by this paper
2. Integrating Rapid Lymphoma Next-Generation Sequencing Panel-Based Testing into Routine Genomic Diagnostics · 2026 · Related
3. Managing hemolyzed samples in clinical laboratories · Ana-Maria Šimundić · 2019 · 127 citations · Cited by this paper
4. Progressive Decline in Interferon-γ Release is Associated with Cirrhosis Progression and Severity: A Prospective Preliminary Report · 2026 · Related
5. Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group · Stephen R. Master · 2023 · 60 citations · Cited by this paper
6. Identification of Metabolic Biomarkers in Bone Marrow Aspirate for Diagnosis, Prognosis, and Therapeutic Monitoring in Pediatric Langerhans Cell Histiocytosis · 2026 · Related
7. Evaluation of hemolysis, lipemia, and icterus interference with common clinical immunoassays · Amir Karin · 2023 · 30 citations · Cited by this paper
8. Toward Comprehensive Clinical Genomics: Integrating Exon-Level Analysis for Detecting Monogenic Copy Number Variations · 2026 · Related
9. Toward High-Quality Real-World Laboratory Data in the Era of Healthcare Big Data · Sollip Kim · 2024 · 21 citations · Cited by this paper
10. High-Resolution Eight-Digit Human Leukocyte Antigen-A, -B, -C, and -DRB1 Allele and Haplotype Frequencies in South Koreans Using Next-Generation Sequencing · 2025 · Related
11. A deep learning-based system for assessment of serum quality using sample images · Chao Yang · 2022 · 19 citations · Cited by this paper
12. Comparative Evaluation of the ASAP and GAAD Algorithms for Hepatocellular Carcinoma Detection in a Chronic Liver Disease Cohort in Korea · 2026 · Related
13. Advancing Laboratory Medicine Practice With Machine Learning: Swift yet Exact · JeongBong You - · 2024 · 16 citations · Cited by this paper
14. Performance Evaluation of Whole-Genome Amplification Platforms for Clinical Next-Generation Sequencing with Minimal Nucleic Acid Input · 2025 · Related
15. Implementation of AI systems in the clinical laboratory: insights from an expert survey and recommendations for best practice · He S. Yang · 2026 · 13 citations · Cited by this paper
16. Development and Diagnostic Validation of an Automated Rapid Testing Platform for Serum Lysophosphatidylcholine as a Sepsis Biomarker · 2026 · Related
17. Laboratory Preparation for Digital Medicine in Healthcare 4.0: An Investigation Into the Awareness and Applications of Big Data and Artificial Intelligence · Shinae Yu · 2024 · 12 citations · Cited by this paper
18. Standards and Practice Guidelines for Venous Blood Collection: Consensus Recommendations from the Korean Society for Laboratory Medicine · Jeonghyun Chang · 2025 · 11 citations · Cited by this paper
19. The Impact of Hemolysis-Index Thresholds on Plasma and Serum Potassium Measurements · Tiffany Yin · 2021 · 10 citations · Cited by this paper
20. Reducing Specimen Rejection Rates Using Concentration-Dependent Hemolysis Rejection Thresholds · Nga Yeung Tang · 2022 · 5 citations · Cited by this paper
21. Evaluation of Sensitive Analytes to Hemolysis Interference on an Automated Chemistry Analyzer · Marfas Marakankadavu Parambu · 2023 · 3 citations · Cited by this paper
22. Research on the development of image-based Deep Learning (DL) model for serum quality recognition · Dongliang Man · 2025 · 3 citations · Cited by this paper
23. The role of AI in pre-analytical phase – use cases · Hikmet Can Çubukçu · 2025 · 3 citations · Cited by this paper
24. Development and Evaluation of Artificial Intelligence-Based Two-Step Model for Automated Serum Quality Assessment in Clinical Laboratories · Weixin Chen · 2026 · 1 citation · Cited by this paper
25. Cross-interference of hemolysis, icterus and lipemia · Soycan Tüner · 2026 · 1 citation · Cited by this paper

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