A new era is coming for medicine, and for critical care in particular. The intensive care unit is at the edge of being completely changed by artificial intelligence, and many challenges are ahead of the intensive care physician. This article aims to address the benefits and difficulties that big data will bring to clinicians, and to provide an overview on the subject.
Key words: Big Data; Artificial intelligence; ICU; Critical Care; Black box
Citation: Filho LACB. Artificial intelligence: what should an intensivist have in mind in the beginning of the new era. Anaesth. Pain intensive care 2021;25(1):8-12.
DOI: 10.35975/apic.v25i1.1428
Received: 10 December 2020, Reviewed: 3 January 2021, Accepted: 8 January 2021
Use of digital health technologies (DHT) in chronic disease management is rising. We aim to evaluate the impact of DHT on clinical outcomes from randomized controlled trials (RCTs) of patients with heart failure (HF) and diabetes mellitus (DM). Electronic databases were searched for DHT RCTs in patients with HF and DM until February 2021. Patient characteristics and outcomes were analyzed. One published (
N
= 519) and 6 registered (
N
= 3423) eligible studies were identified, with one study exclusively including HF and DM patients. Median DHT monitoring was 12 months, with six studies using mobile platforms as their key exposure. Clinical outcomes included quality-of-life or self-care surveys (
n
= 1 each), physical activity metrics, changes in biomarkers, and other clinical endpoints (
n
= 3). Limited data exist on RCTs evaluating DHT in patients with concomitant HF and DM. Further work should define standardized clinical endpoints and platforms that can manage patients with multiple comorbidities.
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