From ‘replacement’ to ‘co-pilot’: Reframing artificial intelligence in clinical biochemistry after Stevenson et al.

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References

Stevenson

Walsh

Hibberd

. Can artificial intelligence replace biochemists? A study comparing interpretation of thyroid function test results by ChatGPT and Google Bard to practising biochemists. Ann Clin Biochem 2024; 61(2): 143–149. https://doi.org/10.1177/00045632231203473

Maity

Saikia

. Large language models in healthcare and medical applications: a review. Bioengineering (Basel) 2025; 12(6): 631. https://doi.org/10.3390/bioengineering12060631

Dodig

Čepelak

Dodig

. Are we ready to integrate advanced artificial intelligence models in clinical laboratory? Biochem Med (Zagreb) 2025; 35(1): 010501. https://doi.org/10.11613/BM.2025.010501

You

Seok

Kim

, et al. Advancing laboratory medicine practice with machine learning: swift yet exact. Ann Lab Med 2025; 45(1): 22–35. https://doi.org/10.3343/alm.2024.0354

Giesriegl

Mrazek

Cadamuro

. How laboratory medicine will change in the near future: integrating artificial intelligence, automation, and human expertise in the era of industry 5.0. J Lab Precis Med 2025; 10: 12. https://doi.org/10.21037/jlpm-25-6

Hwang

Trinh

Sokolov

. Safe and equitable use of clinical decision support systems. Lancet 2024; 404: 1100–1101. https://doi.org/10.1016/S0140-6736(24)01602-7

Lippi

Plebani

. Lights and shadows of artificial intelligence in laboratory medicine. Adv Lab Med 2025; 6(1): 1–3. https://doi.org/10.1515/almed-2025-0024