Publications by authors named "Hsin-Yueh Lin"
Article Synopsis
- The review highlights the increasing involvement of AI and ML in healthcare, emphasizing concerns about fairness and bias that may worsen existing health inequities among different populations.
- It summarizes techniques for evaluating and improving AI/ML model fairness using real-world data, revealing limitations in current research regarding diverse diseases and the availability of public datasets.
- The conclusion points out unresolved issues in understanding the root causes of bias and calls for further investigation into fairness in AI/ML applications within healthcare, particularly leveraging real-world data.
Percutaneous coronary interventions (PCIs) within a door-to-balloon timing of 90 min have greatly decreased mortality and morbidity of ST-elevation myocardial infarction (STEMI) patients. Post-PCI, they are routinely transferred into the coronary care unit (CCU) regardless of the severity of their condition, resulting in frequent CCU overcrowding. This study assesses the feasibility of step-down units (SDUs) as an alternative to CCUs in the management of STEMI patients after successful PCI, to alleviate CCU overcrowding.
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