Artificial intelligence in HF management

Artificial intelligence (AI) may have expanding opportunities in heart failure (HF) management, aiding in diagnosis, risk prediction, and treatment optimisation. Despite its potential, challenges like data security, bias, and clinical efficacy persist; combining AI tools such as wearables and digital consults may help improve patient outcomes. Dr Mariell Jessup (University of Pennsylvania, PA, USA) discussed the current value of AI in managing patients with HF [1]. “It is important to realise that validating the performance of an algorithm in terms of accuracy is not equivalent to demonstrating clinical efficacy.” Additionally, Dr Jessup noted that patient safety, data protection, bias, accountability, regulations, and cybersecurity are challenges to the implementation of AI-based instruments in clinical practice. “The main question for me is, can we change outcomes for patients, using AI?” AI is already being used to predict the risk of incident HF...

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Posted on 17 July 202521 July 2025