Localizing the Origin of Idiopathic Ventricular Arrhythmias from ECG Using a Recurrent Convolutional Neural Network with Attention

M Shahsavari, N Delfan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Idiopathic ventricular arrhythmias (IVAs) are extra abnormal heartbeats disturbing the
regular heart rhythm that can become fatal if left untreated. Cardiac catheter ablation is the …

A Clinical Trial Evaluating the Efficacy of Deep Learning-Based Facial Recognition for Patient Identification in Diverse Hospital Settings

A Sadahide, H Itoh, K Moritou, H Kameyama, R Oda… - Bioengineering, 2024 - mdpi.com
Background: Facial recognition systems utilizing deep learning techniques can improve the
accuracy of facial recognition technology. However, it remains unclear whether these …

[HTML][HTML] Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models

M Askar, L Småbrekke, E Holsbø, LA Bongo… - Exploratory Research in …, 2024 - Elsevier
Background Machine learning (ML) prediction models in healthcare and pharmacy-related
research face challenges with encoding high-dimensional Healthcare Coding Systems …

Securing Sensitive Medical Information with Basic and Pre-large Coati Optimization Algorithm for E-Health System Data Sanitation

M Madhavi, T Sasirooba, GK Kumar - Wireless Personal Communications, 2024 - Springer
Privacy preservation is increasingly crucial in e-Health systems, particularly within the realm
of privacy-preserving data mining, which aims to reveal underlying patterns while …

Comparative Analysis of Machine Learning Models for Classifying Human DNA Sequences: Performance Metrics and Strategic Recommendations

G Airlangga - Journal of Computer System and Informatics …, 2024 - ejurnal.seminar-id.com
This study presents a comprehensive evaluation of seven machine learning models applied
to the classification of human DNA sequences, highlighting their performance and potential …

Use of Artificial Intelligence tools in supporting decision-making in hospital management

M Alves, J Seringa, T Silvestre, T Magalhães - 2024 - researchsquare.com
Background The integration of Artificial Intelligence (AI) tools in hospital management holds
potential for enhancing decision-making processes. This study investigates the current state …

Time Series Modeling and Forecasting of the Patients' Inflow and Admission in the Hospitals: A cases study of LUMHS Hospital Jamshoro Pakistan

S Kamboh, MGH Talpur, NK Chand, LA Zardari… - VFAST Transactions on …, 2024 - vfast.org
The patients' crowding in the hospitals is an international phenomenon that demands much
attention to avoid harm to the lives of patients. The quantitative based models have been …

[PDF][PDF] A Systematic Review of the Integration of Information Science, Artificial Intelligence, and Medical Engineering in Healthcare: Current Trends and Future …

SGH Fotami, NR Mannuru, RVK Bevara, A Mannuru - isjtrend.com
Information science plays a pivotal role in the organization, management, and dissemination
of medical information [1]. With the growing influx of data from diverse sources such as …

[PDF][PDF] Transforming Healthcare Delivery: Robotics and AI in Minimally Invasive Medical Device Engineering

H Ali, N Ahmad - researchgate.net
Advancements in robotics and artificial intelligence (AI) have revolutionized the landscape of
healthcare delivery, particularly in the field of minimally invasive medical device …

[HTML][HTML] Enhancing medication adherence with AI-driven personalization

AI How - acarepro.abbott.com
Non-adherence to medication remains a huge barrier to achieve most favourable outcomes
from prescribed treatment, especially in long-term conditions 4. In 2018, a report by the …