Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - "The Horse is the One Who Runs, You Must Be the Jockey".
Erito Marques de Souza FilhoFernando de Amorim FernandesCeline Lacerda de Abreu SoaresFlavio Luiz SeixasAlair Augusto Sarmet M D Dos SantosRonaldo Altenburg GismondiEvandro Tinoco MesquitaCláudio Tinoco MesquitaPublished in: Arquivos brasileiros de cardiologia (2020)
The recent advances at hardware level and the increasing requirement of personalization of care associated with the urgent needs of value creation for the patients has helped Artificial Intelligence (AI) to promote a significant paradigm shift in the most diverse areas of medical knowledge, particularly in Cardiology, for its ability to support decision-making and improve diagnostic and prognostic performance. In this context, the present work does a non-systematic review of the main papers published on AI in Cardiology, focusing on its main applications, potential impacts and challenges.
Keyphrases
- artificial intelligence
- machine learning
- big data
- systematic review
- deep learning
- healthcare
- end stage renal disease
- decision making
- cardiac surgery
- meta analyses
- newly diagnosed
- thoracic surgery
- palliative care
- chronic kidney disease
- prognostic factors
- acute kidney injury
- randomized controlled trial
- peritoneal dialysis
- quality improvement
- risk assessment
- patient reported outcomes
- human health
- chronic pain