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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Updated: Dec 17, 2025

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Artificial intelligence and computer simulation models in critical illness.

Amos Lal¹, Yuliya Pinevich², Ognjen Gajic¹

¹Department of Medicine, Division of Pulmonary and Critical Care Medicine, Rochester, Mayo Clinic, MN 55905, United States.

World Journal of Critical Care Medicine

|June 25, 2020

Summary

This summary is machine-generated.

Artificial intelligence (AI) in medicine can aid clinicians, but current associative AI models lack transparency and clinical applicability. Future AI tools must address causal mechanisms for improved trust and real-world use in patient care.

Failed At:

2026-06-19T13:38:38.546389+00:00

Keywords:

Artificial intelligence Causation Critical illness Digital twin Predictive enrichment Simulation models

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