Publications by authors named "Donggil Kang"
As stacking technologies, such as 2.5D and 3D packages, continue to accelerate in advanced semiconductor components, the singulation and thinning of Si wafers are becoming increasingly critical. Despite their importance in producing thinner and more reliable Si chips, achieving high reliability remains a challenge, and comprehensive research on the effects of these processing techniques on Si chip integrity is lacking.
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- The study aims to develop a reliable and interpretable AI system called RIAS to predict mortality in patients after an acute myocardial infarction (AMI), filling the gap in existing tools for clinicians.
- RIAS uses data from the Korean Acute Myocardial Infarction Registry and outperforms traditional models like XGBoost in sensitivity, while also providing important insights into the effects of medications and age on patient mortality.
- The framework addresses AI's "black-box" problem by offering clear explanations for predictions, including "what if" scenarios that help clinicians make better, patient-specific treatment decisions.