ABSTRACT
A growing number of artificial intelligence (AI)-based systems are being proposed and developed in cardiology, driven by the increasing need to deal with the vast amount of clinical and imaging data with the ultimate aim of advancing patient care, diagnosis and prognostication. However, there is a critical gap between the development and clinical deployment of AI tools. A key consideration for implementing AI tools into real-life clinical practice is their "trustworthiness" by end-users. Namely, we must ensure that AI systems can be trusted and adopted by all parties involved, including clinicians and patients. Here we provide a summary of the concepts involved in developing a "trustworthy AI system." We describe the main risks of AI applications and potential mitigation techniques for the wider application of these promising techniques in the context of cardiovascular imaging. Finally, we show why trustworthy AI concepts are important governing forces of AI development.
ABSTRACT
BACKGROUND: The morbidity of acute myocardial infarction (AMI) is remarkable in Hungary, therefore understanding the disease burden more accurately is inevitable. AIM: We assessed the hospitalized AMI patient's burden on the financer both in active and chronic hospital care as well as outpatient visits and we estimated the size of indirect social costs. METHODS: We assessed the active and chronic hospital care costs of 'new' AMI patients having the event in May 2003. The costs were assessed in the subsequent 12 and 24 months to the event in the population over 25 with the morbidity from the database of the National Health Insurance Fund Administration (NHIFA). Data were collected by gender and age (age groups 25-44, 45-64, 65 and over). Costs of GPs, specialist visits, transportation and productivity losses were taken into account as other costs. RESULTS: Average health insurance costs of AMI's active hospital care in the first 12 months are generally higher in females as in males; 476.3 thousand HUF vs 391.1 thousand HUF (65 and over), 429.1 thousand HUF vs 389.4 thousand HUF (45-64) and 229.5 thousand HUF vs 240.6 thousand HUF (25-44). The burden in the chronic care is 15-40 thousand HUF per patient in the first year, which is similar to the active care costs in the 13-24th months after the AMI (22-54 thousand HUF). CONCLUSION: NHIFA was estimated to spend 4.4 billion HUF on direct health care on behalf of the nearly 12 thousand annual AMI patients in the first 12 months, 3.6 billion HUF on the active and 370 million on the chronic hospital care. Avoiding one AMI could save 345-565 thousand HUF (depending on gender and age) direct health care cost in the first 12 months. In our estimation the annual indirect costs of AMI exceed 840 million HUF (177 829 HUF/patient) in the working age group.
