[PDF][PDF] Data-driven decision-making in healthcare: Improving patient outcomes through predictive modeling
This review paper explores the transformative role of data-driven decision-making in
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
Artificial intelligence in regenerative medicine: applications and implications
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 …
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
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 …
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 …
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 …
enhancing disease prediction and management. This study harnesses the PyCaret library …
[HTML][HTML] Enhancing mental health with Artificial Intelligence: Current trends and future prospects
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 …
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 …
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 …
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 …
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 …
patients. The model was developed using a unique dataset, specifically acquired for this …