AI and the cardiologist: when mind, heart and machine unite

D’Costa, Antonio; Zatale, Aishwarya

doi:10.1136/openhrt-2021-001874

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Um dos principais benefícios do monitoramento remoto é a detecção precoce de eventos cardiovasculares adversos. Algoritmos de IA são capazes de analisar dados de sensores integrados em dispositivos vestíveis, como frequência cardíaca, variabilidade da frequência cardíaca e padrões de atividade física, para identificar sinais de alerta, como arritmias cardíacas ou elevações na pressão arterial (37).…”

Section: Monitoramento Remotounclassified

Avanços Da Inteligência Artificial Na Cardiologia: Uma Revisão Abrangente

Martins,

Thom,

Gonçalves

et al. 2024

REASE

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Introdução: A cardiologia é um campo crucial da medicina, e os avanços da inteligência artificial (IA) estão moldando significativamente sua prática. Esta revisão abrange diversas aplicações da IA na cardiologia, desde o diagnóstico até o tratamento e monitoramento de doenças cardiovasculares. Objetivo: O objetivo desta revisão bibliográfica é explorar as diversas aplicações da inteligência artificial na cardiologia, abrangendo áreas como diagnóstico cardiovascular, predição de eventos cardíacos, interpretação de eletrocardiogramas (ECG), personalização do tratamento, monitoramento remoto e otimização de procedimentos cardíacos. Método: Trata-se de revisão abrangente seleção dos artigos foi realizada uma busca na base de dados Biblioteca Virtual de Saúde (BVS). Para a busca utilizou-se os descritores baseados no Decs, e assim montou a estratégia de busca: “Inteligência artificial” AND “Cardiologia” AND “Aprendizado de máquina”. Resultados: Exploramos como a IA está sendo utilizada para analisar imagens médicas, prever eventos cardíacos, interpretar eletrocardiogramas, personalizar tratamentos, monitorar pacientes remotamente e otimizar procedimentos cardíacos. Discutimos também as considerações éticas, regulatórias e de segurança associadas à implementação da IA na prática clínica. Conclusão: Esta revisão destaca o potencial da IA para melhorar os cuidados cardiológicos, ao mesmo tempo que destaca a importância de abordar desafios éticos e garantir a segurança dos pacientes.

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Section: Monitoramento Remotounclassified

Avanços Da Inteligência Artificial Na Cardiologia: Uma Revisão Abrangente

Martins,

Thom,

Gonçalves

et al. 2024

REASE

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“…Another great area of benefit will be in the gathering, synthesis, and summarization of ever-increasing amounts of data for each patient to make sure nothing is missed in the consideration of the differential diagnosis [20,21]. By freeing up providers from these and many more time-consuming and low-value tasks, care providers will be able to focus more attention on patient interaction through the ideal gathering of an appropriate history and performance of a complete physical exam.…”

Section: Streamlining Administrative Tasksmentioning

confidence: 99%

The Utility of Language Models in Cardiology: A Narrative Review of the Benefits and Concerns of ChatGPT-4

Gala

Makaryus

2023

IJERPH

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Artificial intelligence (AI) and language models such as ChatGPT-4 (Generative Pretrained Transformer) have made tremendous advances recently and are rapidly transforming the landscape of medicine. Cardiology is among many of the specialties that utilize AI with the intention of improving patient care. Generative AI, with the use of its advanced machine learning algorithms, has the potential to diagnose heart disease and recommend management options suitable for the patient. This may lead to improved patient outcomes not only by recommending the best treatment plan but also by increasing physician efficiency. Language models could assist physicians with administrative tasks, allowing them to spend more time on patient care. However, there are several concerns with the use of AI and language models in the field of medicine. These technologies may not be the most up-to-date with the latest research and could provide outdated information, which may lead to an adverse event. Secondly, AI tools can be expensive, leading to increased healthcare costs and reduced accessibility to the general population. There is also concern about the loss of the human touch and empathy as AI becomes more mainstream. Healthcare professionals would need to be adequately trained to utilize these tools. While AI and language models have many beneficial traits, all healthcare providers need to be involved and aware of generative AI so as to assure its optimal use and mitigate any potential risks and challenges associated with its implementation. In this review, we discuss the various uses of language models in the field of cardiology.

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“…There are examples of successful clinical applications of AI across many disciplines. Although D’Costa and Zatale6 focus on the role of AI in the discipline of cardiology, they present a brief introduction to AI principles and a sound, concise overview. The concept of deep learning (DL) is compared with how we as humans think by using our ‘neural network.’ Going beyond the use of algorithms, data input is processed through multiple layers, each consisting of algorithms that produce output that is processed further.…”

mentioning

confidence: 99%