Artificial intelligence (AI) is beginning to enhance blood banking and transfusion services, offering a new level of safety for patients with complex conditions like fetal and neonatal alloimmune thrombocytopenia (FNAIT), according to a recent review published in Vox Sanguinis.
The successful adoption of these tools depends on “principled pragmatism,” or using technology while maintaining mandatory human oversight, the authors wrote.
Experts note that AI can significantly improve how blood banks operate. Systems can already predict when blood supplies may run low or help doctors more quickly identify rare transfusion reactions. For example, smart algorithms can analyze data to alert hospitals to an increased need for specific blood types before a shortage occurs. Additionally, robots are being tested to assist with drawing blood, although they remain less cost-effective than nurses, underscoring the importance of human expertise.
Despite the benefits, the researchers highlight several key ethical challenges. The first is fairness. There is a risk that AI models could be biased if they are trained on data that does not represent all groups of people equally. For instance, if a system fails to recognize specific biological differences among various ethnic groups, it could lead to unequal quality of care. Consequently, experts call for every AI tool to undergo rigorous testing across diverse populations before use.
The second major pillar is transparency. Patients and donors have the right to know when AI is involved in their treatment or the processing of their data. Systems must be designed so that doctors can understand why a machine made a specific recommendation. Most importantly, physicians and laboratory professionals must have the final say; AI exists to support, not replace, human judgment and accountability.
Privacy protection also remains a top priority. Blood banks must implement the strictest data security measures to ensure sensitive donor information remains anonymous and protected from misuse. The goal of these new frameworks is to build trust, ensuring that as technology evolves, the patient always comes first.
“With this balanced, iterative approach, AI can help blood banking/transfusion medicine deliver safer, timelier and more equitable transfusion care, reinforce the blood supply and enhance donor safety while preserving the trust and human judgement that are characteristic of the field,” the authors wrote.
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