This chapter presents a Quick and Proper Ethical Technology Assessment (QPeTA) of Apollo, an AI-based decision support tool for brain MRI. The assessment evaluates how Apollo enacts key ethical principles as outlined by Beauchamp and Childress. The analysis was conducted using QPeTA through two structured workshops, exploring Apollo’s clinical value, ethical challenges, and alignment with ethical principles. The use of Apollo align with the ethical principle of beneficence if optimizing workflows, reducing diagnostic delays, and improving clinician confidence. The principle of nonmaleficence might be supported by Apollo through real-time imaging adjustments that can reduce errors and patient recalls. The principle of justice is promoted by Apollo if its use results in prioritizing urgent cases and ensuring equitable access to diagnostics. Apollo can uphold respect for autonomy through clinician control, fostering patient empowerment through informed diagnostics, and enabling personalized care. Ethical concerns arise regarding the black-boxed nature of algorithms, risks of bias due to possible underrepresented populations in training datasets, and potential deskilling of clinicians. To mitigate these concerns, Cerebriu can enhance transparency through the expansion of their explainability features and continually update training datasets to reflect diverse populations. Training programs should ensure that clinicians validate AI outputs. Organizations and policymakers must ensure ethical implementation by fostering participatory implementation processes and adopting guidelines for transparency and equity. Apollo demonstrates ethical acceptability by enhancing clinical workflows and aligning with ethical principles. Addressing concerns like bias, transparency, and deskilling is critical to ensuring responsible and equitable deployment.