Current Cardiology Reports, Journal Year: 2023, Volume and Issue: 25(12), P. 1883 - 1896
Published: Dec. 1, 2023
Language: Английский
Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6
Published: Aug. 29, 2023
As the demand for quality healthcare increases, systems worldwide are grappling with time constraints and excessive workloads, which can compromise of patient care. Artificial intelligence (AI) has emerged as a powerful tool in clinical medicine, revolutionizing various aspects care medical research. The integration AI medicine not only improved diagnostic accuracy treatment outcomes, but also contributed to more efficient delivery, reduced costs, facilitated better experiences. This review article provides an extensive overview applications history taking, examination, imaging, therapeutics, prognosis Furthermore, it highlights critical role played transforming developing nations.
Language: Английский
Citations
133
npj Genomic Medicine, Journal Year: 2024, Volume and Issue: 9(1)
Published: Feb. 27, 2024
Abstract Single locus (Mendelian) diseases are a leading cause of childhood hospitalization, intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome sequencing (RGS), ultra-rapid (URGS), rapid exome (RES) diagnostic tests for genetic ICU patients. In 44 studies children in ICUs with unknown etiology, 37% received diagnosis, 26% had consequent changes management, net costs were reduced by $14,265 per child tested URGS, RGS, or RES. URGS outperformed RGS RES faster time to higher rate diagnosis clinical utility. Diagnostic outcomes will improve as methods evolve, decrease, testing is implemented within precision medicine delivery systems attuned needs. currently performed <5% the ~200,000 likely benefit annually due lack payor coverage, inadequate reimbursement, hospital policies, hospitalist unfamiliarity, under-recognition possible diseases, current formatting rather than system. The gap between actual optimal increasing since expanded use lags growth those through new therapies. There sufficient evidence conclude that should be considered all uncertain etiology at admission. Minimally, ordered early during admissions critically ill infants suspected diseases.
Language: Английский
Citations
24
European Journal of Preventive Cardiology, Journal Year: 2024, Volume and Issue: 31(4), P. 470 - 482
Published: Jan. 10, 2024
Abstract The integration of artificial intelligence (AI) technologies is evolving in different fields cardiology and particular sports cardiology. Artificial offers significant opportunities to enhance risk assessment, diagnosis, treatment planning, monitoring athletes. This article explores the application AI various aspects cardiology, including imaging techniques, genetic testing, wearable devices. use machine learning deep neural networks enables improved analysis interpretation complex datasets. However, ethical legal dilemmas must be addressed, informed consent, algorithmic fairness, data privacy, intellectual property issues. should complement expertise physicians, allowing for a balanced approach that optimizes patient care outcomes. Ongoing research collaborations are vital harness full potential advance our management cardiovascular health
Language: Английский
Citations
13
Diagnostics, Journal Year: 2024, Volume and Issue: 14(11), P. 1103 - 1103
Published: May 26, 2024
Background: Artificial intelligence (AI) can radically change almost every aspect of the human experience. In medical field, there are numerous applications AI and subsequently, in a relatively short time, significant progress has been made. Cardiology is not immune to this trend, fact being supported by exponential increase number publications which algorithms play an important role data analysis, pattern discovery, identification anomalies, therapeutic decision making. Furthermore, with technological development, have appeared new models machine learning (ML) deep (DP) that capable exploring various cardiology, including areas such as prevention, cardiovascular imaging, electrophysiology, interventional many others. sense, present article aims provide general vision current state use cardiology. Results: We identified included subset 200 papers directly relevant research covering wide range applications. Thus, paper presents arithmology, clinical or emergency procedures summarized manner. Recent studies from highly scientific literature demonstrate feasibility advantages using different branches Conclusions: The integration cardiology offers promising perspectives for increasing accuracy decreasing error rate efficiency practice. From predicting risk sudden death ability respond cardiac resynchronization therapy diagnosis pulmonary embolism early detection valvular diseases, shown their potential mitigate feasible solutions. At same limits imposed small samples studied highlighted alongside challenges presented ethical implementation; these relate legal implications regarding responsibility making processes, ensuring patient confidentiality security. All constitute future directions will allow
Language: Английский
Citations
11
Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6
Published: Feb. 20, 2024
The use of artificial intelligence (AI) and machine learning (ML) in anesthesiology perioperative medicine is quickly becoming a mainstay clinical practice. Anesthesiology data-rich medical specialty that integrates multitudes patient-specific information. Perioperative ripe for applications AI ML to facilitate data synthesis precision predictive assessments. Examples emergent models include those assist assessing depth modulating control anesthetic delivery, event risk prediction, ultrasound guidance, pain management, operating room logistics. support analyzing integrated at scale can assess patterns deliver optimal care. By exploring the benefits limitations this technology, we provide basis considerations evaluating adoption into various workflows. This analysis explores current landscape understand better strengths, weaknesses, opportunities, threats (SWOT) these tools offer.
Language: Английский
Citations
7
Canadian Journal of Cardiology, Journal Year: 2024, Volume and Issue: 40(10), P. 1865 - 1879
Published: Aug. 3, 2024
Language: Английский
Citations
5
Journal of Cardiothoracic and Vascular Anesthesia, Journal Year: 2024, Volume and Issue: 38(10), P. 2155 - 2162
Published: June 28, 2024
Language: Английский
Citations
4
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 181 - 195
Published: Jan. 1, 2025
Citations
0
Journal of Cardiac Critical Care TSS, Journal Year: 2025, Volume and Issue: 9, P. 84 - 91
Published: April 15, 2025
Artificial intelligence (AI) has been expanding exponentially in the field of health care. AI not only simplifies disease interpretation but also improves efficiency patient management. The novel machine learning algorithms, and deep models are boundaries arena echocardiography. automated assessment biventricular function, atrio-ventricular coupling, Integrating approaches like speckle tracking may aid identification, classification, diagnosis, prognostication cardiovascular abnormalities. Moreover, integration reduces time interpretation, inter as well intra-observer variability provides a rapid, non-invasive accurate result. stands at pinnacle Therefore, index article aims to review existing upcoming modalities echocardiography with regard technique, advantages, limitations, its clinical application.
Language: Английский
Citations
0
Cardiology in the Young, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 5
Published: April 21, 2025
Abstract Objective: We explore the role of targeted echocardiography as a screening tool for bicuspid aortic valve and left ventricular hypertrophy, specifically assessing risk missing significant cardiac findings that would otherwise be identified by comprehensive echocardiograms. Method: Children < 18 years at initial echocardiogram indications “family history valve” “left hypertrophy on electrocardiogram” were queried. Cardiology clinic notes complete reports reviewed additional background histories incidental findings. Follow-up visits, if any, management those with reviewed. Results: Bicuspid group included 138 patients, 71 (51%) males mean age echo was 8.4 ± 4.8 years. found in 3.6%, 15 (11%), follow-up recommended 4 (2.8%). Left 70 58 (83%) 10.9 4.7 2.8%, 9 (13%), 2 None developed symptoms or required medications, exercise restrictions, catheter surgical-based interventions, except one case mild root dilation who restricted from heavy weightlifting. Conclusion: The clinically important have been is extremely low isolated electrocardiogram family valve, suggesting could an effective tool.
Language: Английский
Citations
0