Application of AI in detection of breast cancer with laboratory results monitoring DOI Creative Commons

Sabina Prevljak,

Amar Kustura, Berina Hasanefendić

et al.

Bioengineering Studies, Journal Year: 2024, Volume and Issue: 5(1), P. 1 - 14

Published: July 30, 2024

Breast cancer is one of the most common types among women worldwide, therefore an early and precise process diagnostics plays important role in improving prognosis outcome treatment. The application artificial intelligence (AI) allows faster more analysis medical imaging, which contributes to detection tumors lowers number false-negative results. This review article analyzed 60 scientific papers using recent findings about this topic, searched for AI implementation breast research how may improve overall survival outcomes patients.

Language: Английский

Cardiovascular care with digital twin technology in the era of generative artificial intelligence DOI
Phyllis Thangaraj, S. Benson, Evangelos K. Oikonomou

et al.

European Heart Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Abstract Digital twins, which are in silico replications of an individual and its environment, have advanced clinical decision-making prognostication cardiovascular medicine. The technology enables personalized simulations scenarios, prediction disease risk, strategies for trial augmentation. Current applications digital twins integrated multi-modal data into mechanistic statistical models to build physiologically accurate cardiac replicas enhance phenotyping, enrich diagnostic workflows, optimize procedural planning. twin is rapidly evolving the setting newly available modalities advances generative artificial intelligence, enabling dynamic comprehensive unique individual. These fuse physiologic, environmental, healthcare machine learning real-time patient predictions that can model interactions with environment accelerate care. This review summarizes medicine their potential future by incorporating new modalities. It examines technical deep intelligence broaden scope predictive power twins. Finally, it highlights societal challenges as well ethical considerations essential realizing vision cardiology

Language: Английский

Citations

8
AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular Conditions DOI Creative Commons

Luiza Nechita,

Aurel Nechita,

Andreea Elena Voipan

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(17), P. 1839 - 1839

Published: Aug. 23, 2024

The application of artificial intelligence (AI) in electrocardiography is revolutionizing cardiology and providing essential insights into the consequences COVID-19 pandemic. This comprehensive review explores AI-enhanced ECG (AI-ECG) applications risk prediction diagnosis heart diseases, with a dedicated chapter on COVID-19-related complications. Introductory concepts AI machine learning (ML) are explained to provide foundational understanding for those seeking knowledge, supported by examples from literature current practices. We analyze ML methods arrhythmias, failure, pulmonary hypertension, mortality prediction, cardiomyopathy, mitral regurgitation, embolism, myocardial infarction, comparing their effectiveness both medical perspectives. Special emphasis placed cardiology, including detailed comparisons different methods, identifying most suitable approaches specific analyzing strengths, weaknesses, accuracy, clinical relevance, key findings. Additionally, we explore AI's role emerging field cardio-oncology, particularly managing chemotherapy-induced cardiotoxicity detecting cardiac masses. serves as an insightful guide call action further research collaboration integration aiming enhance precision medicine optimize decision-making.

Language: Английский

Citations

6
Diagnosis of cancer therapy-related cardiovascular toxicities: A multimodality integrative approach and future developments DOI
Simon Travers,

Joachim Alexandre,

Lauren A. Baldassarre

et al.

Archives of cardiovascular diseases, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients DOI Open Access
Isabel G. Scalia, Girish Pathangey, Mahmoud Abdelnabi

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 605 - 605

Published: Feb. 11, 2025

Cardiovascular diseases and cancer are the leading causes of morbidity mortality in modern society. Expanding therapies that have improved prognosis may also be associated with cardiotoxicity, extended life span after survivorship is increasing prevalence cardiovascular disease. As such, field cardio-oncology has been rapidly expanding, an aim to identify cardiotoxicity cardiac disease early a patient who receiving treatment for or survivorship. Artificial intelligence revolutionizing medicine its ability early. This article comprehensively reviews applications artificial specifically applied electrocardiograms, echocardiography, magnetic resonance imaging, nuclear imaging predict toxicity setting therapies, view reduce complications side effects from such as chemotherapy, radiation therapy, immunotherapy.

Language: Английский

Citations

0
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review DOI
Avirup Guha, Viraj Shah,

Tarek Nahle

et al.

Current Cardiology Reports, Journal Year: 2025, Volume and Issue: 27(1)

Published: Feb. 19, 2025

Language: Английский

Citations

0
Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment DOI Creative Commons
Lovedeep S Dhingra, Arya Aminorroaya,

Aline Pedroso Camargos

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Despite the availability of disease-modifying therapies, scalable strategies for heart failure (HF) risk stratification remain elusive. Portable devices capable recording single-lead electrocardiograms (ECGs) can enable large-scale community-based assessment.

Language: Английский

Citations

3
An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD DOI Creative Commons
Lovedeep S Dhingra, Arya Aminorroaya, Veer Sangha

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Identifying structural heart diseases (SHDs) early can change the course of disease, but their diagnosis requires cardiac imaging, which is limited in accessibility.

Language: Английский

Citations

3
Application of AI in detection of breast cancer with laboratory results monitoring DOI Creative Commons

Sabina Prevljak,

Amar Kustura, Berina Hasanefendić

et al.

Bioengineering Studies, Journal Year: 2024, Volume and Issue: 5(1), P. 1 - 14

Published: July 30, 2024

Breast cancer is one of the most common types among women worldwide, therefore an early and precise process diagnostics plays important role in improving prognosis outcome treatment. The application artificial intelligence (AI) allows faster more analysis medical imaging, which contributes to detection tumors lowers number false-negative results. This review article analyzed 60 scientific papers using recent findings about this topic, searched for AI implementation breast research how may improve overall survival outcomes patients.

Language: Английский

Citations

0