Artificial Intelligence

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Artificial intelligence (AI), the development of computer systems to simulate human intelligence, has permeated our everyday activities, from conducting an internet search to driving a car. Within medicine, AI has facilitated maintaining and mining of electronic medical records. In medical imaging, it has been applied to static images such as chest computed tomography; the large […]

The increasing volume and richness of healthcare data collected during routine clinical practice have not yet translated into significant numbers of actionable insights that have systematically improved patient outcomes. An evidence-practice gap continues to exist in healthcare. We contest that this gap can be reduced by assessing the use of nudge theory as part of […]

Improving the diagnostic process is a quality and safety priority.1 With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have […]

Patients have an estimated mortality of 15–20% within the first year following myocardial infarction and one in four patients who survive myocardial infarction will develop heart failure, severely reducing quality of life and increasing the risk of long-term mortality. We aimed to establish the accuracy of an artificial neural network (ANN) algorithm in predicting 1-year […]

Most patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are diagnosed in hospital. This is despite previous presentations to primary care with symptoms. We aimed to test an artificial intelligence (AI) algorithm applied to a single-lead ECG, recorded during ECG-enabled stethoscope examination, to […]

October 11, 2021 — The Icahn School of Medicine at Mount Sinai has launched a new department dedicated to advancing artificial intelligence (AI) to transform health care, further positioning the Mount Sinai Health System as a leader in providing patient care through pioneering innovations and technologies. The Department of Artificial Intelligence and Human Health is the first department of its kind within […]

European Heart Journal, Volume 42, Issue 38, 7 October 2021, Pages 3904–3916, https://doi.org/10.1093/eurheartj/ehab544 Published: 15 August 2021 The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodologies for decades. Recent renewed interest in deep learning techniques has opened new frontiers in electrocardiography analysis including signature identification of diseased states. Artificial intelligence advances coupled […]

Academic Editor: Pascale Gauthier J. Pers. Med. 2021, 11(8), 745; https://doi.org/10.3390/jpm11080745 Received: 5 July 2021 / Revised: 26 July 2021 / Accepted: 28 July 2021 / Published: 29 July 2021 A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between the physical entity and its corresponding twin in the digital domain. Digital […]

Journal of Translational Medicine volume 18, Article number: 472 (2020) Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to health and leading to diminished life expectancy. A dysregulated metabolism induces the secretion of several molecules which in turn trigger the inflammatory pathway. Inflammation is the natural reaction of the immune system to a […]

Originally published 4 Aug 2020https://doi.org/10.1161/CIRCEP.120.008437Circulation: Arrhythmia and Electrophysiology. 2020;13:e008437 Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing can lack sensitivity and specificity. The objective of this study was to assess the […]

Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here’s how to make the shift from opportunistic efforts to a truly AI-enabled organization. Executives have seen that the move from running artificial intelligence (AI) experiments and proofs of concept to capturing lasting value at scale requires an investment in […]

European Heart Journal, Volume 42, Issue 24, 21 June 2021, Pages 2321–2322, https://doi.org/10.1093/eurheartj/ehab036  Published: 04 February 2021

European Heart Journal, ehab153, https://doi.org/10.1093/eurheartj/ehab153 Published: 22 March 2021