Summary of article from BioSpectrum, by Arpita Goyal:
Algorithmic biases in AI systems, which could perpetuate historical inequalities and affect healthcare quality, need to be addressed through diversified training data and sophisticated algorithms. Ensuring clinical validity and transparency in AI deployment is essential for establishing trust and accountability, and human clinical judgment should not be supplanted by AI predictions. Balancing innovation and ethical accountability, with a focus on patient welfare and societal values, is crucial for fully leveraging the benefits of AI in healthcare.