Researchers from the A4/LEARN study have developed a method to optimize the use of positron-emission tomography (PET) scans in Alzheimer's disease diagnosis. The team proposes using 'target-aligned validation' to allocate scarce PET measurements based on the specific claim being validated, rather than solely relying on prediction uncertainty. This approach aims to improve the efficiency and effectiveness of PET scanning in clinical trials and diagnostic workflows. --- Why it matters: This research is important for engineers and researchers working on AI-powered medical imaging analysis because it highlights the need for more efficient use of scarce resources like PET scans. By optimizing the allocation of these measurements, the team's approach can help improve the accuracy and reliability of Alzheimer's disease diagnosis, which has significant implications for patient care and treatment. Source: https://arxiv.org/abs/2608.22223