[PDF][PDF] Data-driven decision-making in healthcare: Improving patient outcomes through predictive modeling

IA Adeniran, CP Efunniyi, OS Osundare… - … & Technology Journal, 2024 - researchgate.net
This review paper explores the transformative role of data-driven decision-making in
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …

Artificial intelligence in regenerative medicine: applications and implications

H Nosrati, M Nosrati - Biomimetics, 2023 - mdpi.com
The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or
substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as …

Transformative potential of AI in Healthcare: definitions, applications, and navigating the ethical Landscape and Public perspectives

M Bekbolatova, J Mayer, CW Ong, M Toma - Healthcare, 2024 - mdpi.com
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …

Comparative analysis of machine learning models for image detection of colonic polyps vs. Resected polyps

A Abraham, R Jose, J Ahmad, J Joshi, T Jacob… - Journal of …, 2023 - mdpi.com
(1) Background: Colon polyps are common protrusions in the colon's lumen, with potential
risks of develo** colorectal cancer. Early detection and intervention of these polyps are …

Cardiovascular health management in diabetic patients with machine-learning-driven predictions and interventions

R Jose, F Syed, A Thomas, M Toma - Applied Sciences, 2024 - mdpi.com
The advancement of machine learning in healthcare offers significant potential for
enhancing disease prediction and management. This study harnesses the PyCaret library …

[HTML][HTML] Enhancing mental health with Artificial Intelligence: Current trends and future prospects

DB Olawade, OZ Wada, A Odetayo… - Journal of medicine …, 2024 - Elsevier
Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its
application in mental healthcare is no exception. Hence, this review explores the integration …

Modeling dynamics of the cardiovascular system using fluid-structure interaction methods

F Syed, S Khan, M Toma - Biology, 2023 - mdpi.com
Simple Summary Fluid-structure interaction algorithms are utilized to examine how the
human circulatory system functions by simulating blood flow and capturing mechanical …

[PDF][PDF] Unleashing the Power of Data: Enhancing Physician Outreach through Machine Learning

S Agarwal - International Research Journal of Engineering and …, 2023 - researchgate.net
Physician outreach plays a crucial role in effective healthcare delivery, but traditional
methods have limitations in personalization and efficiency. This paper explores the …

[HTML][HTML] Hepatic encephalopathy post-TIPS: current status and prospects in predictive assessment

X Xu, Y Yang, X Tan, Z Zhang, B Wang, X Yang… - Computational and …, 2024 - Elsevier
Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the
treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious …

[HTML][HTML] Regressive Machine Learning for Real-Time Monitoring of Bed-Based Patients

P Joseph, H Ali, D Matthew, A Thomas, R Jose… - Applied Sciences, 2024 - mdpi.com
This study introduces an ensemble model designed for real-time monitoring of bedridden
patients. The model was developed using a unique dataset, specifically acquired for this …