AIMC Topic: Cardiology

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Cardiology in the digital era: from artificial intelligence to Metaverse, paving the way for future advancements.

Future cardiology
Tweetable abstract Cardiology's digital revolution: AI diagnoses, ChatGPT consults, Metaverse educates. Challenges & promises explored. #CardiologyTech #DigitalHealth.

The PACIFIC ontology for heterogeneous data management in cardiology.

Journal of biomedical informatics
With the emergence of health data warehouses and major initiatives to collect and analyze multi-modal and multisource data, data organization becomes central. In the PACIFIC-PRESERVED (PhenomApping, ClassIFication, and Innovation for Cardiac Dysfunct...

Principles of artificial intelligence and its application in cardiovascular medicine.

Clinical cardiology
Artificial intelligence (AI) represents a rapidly developing field. Its use can improve diagnosis and therapy in many areas of medicine. Despite this enormous progress, many physicians perceive it as a black box and are skeptical about it. This revie...

Machine learning in cardiology: Clinical application and basic research.

Journal of cardiology
Machine learning is a subfield of artificial intelligence. The quality and versatility of machine learning have been rapidly improving and playing a critical role in many aspects of social life. This trend is also observed in the medical field. Gener...

Artificial Intelligence in Cardiology: Applications and Obstacles.

Current problems in cardiology
Artificial intelligence (AI) technology is poised to alter the flow of daily life, and in particular, medicine, where it may eventually complement the physician's work in diagnosing and treating disease. Despite the recent frenzy and uptick in AI res...

Robotics in interventional cardiology: a new era of safe and efficient procedures.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology

Machine learning for decision-making in cardiology: a narrative review to aid navigating the new landscape.

Revista espanola de cardiologia (English ed.)
Machine learning in cardiology is becoming more commonplace in the medical literature; however, machine learning models have yet to result in a widespread change in practice. This is partly due to the language used to describe machine, which is deriv...