IQVIA艾昆纬：2026年面向患者数据分析与研究的可信AI机器学习白皮书（英文版）

Life sciences are being transformed by Artificial Intelligence (AI) and Machine Learning (ML). But with that transformation comes a critical question: How do we unlock value from sensitive health data without undermining trust, transparency, or control? Traditional safeguards are no longer enough in an era of AI/ML, where subtle patterns can be used — or misused — in unanticipated ways. The stakes are especially high in healthcare, where data utility must be balanced with rigorous protection.