The diagnostic, therapeutic, and ethical impact of artificial intelligence in modern medicine

AR Katwaroo, VS Adesh, A Lowtan… - Postgraduate Medical …, 2024 - academic.oup.com
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an
integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With …

Artificial intelligence and decision-making in healthcare: a thematic analysis of a systematic review of reviews

M Khosravi, Z Zare… - … services research and …, 2024 - journals.sagepub.com
Introduction The use of artificial intelligence (AI), which can emulate human intelligence and
enhance clinical results, has grown in healthcare decision-making due to the digitalization …

The role of Open Access Data in democratizing healthcare AI: A pathway to research enhancement, patient well-being and treatment equity in Andalusia, Spain

Á Ritoré, CM Jiménez, JL González… - PLOS Digital …, 2024 - journals.plos.org
Artificial Intelligence (AI), a transformative technology with vast potential in the field of
healthcare, presents an array of opportunities for innovation, with the ability to transform …

Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data

S Naderian, Z Nikniaz, MA Farhangi, L Nikniaz… - BMC Public Health, 2024 - Springer
Background Dyslipidemia, characterized by variations in plasma lipid profiles, poses a
global health threat linked to millions of deaths annually. Objectives This study focuses on …

Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network

Z Xu, J Guo, L Qin, Y Xie, Y Xiao, X Lin… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In this study, we present a novel approach for predicting interventions for patients in the
intensive care unit using a multivariate time series graph convolutional neural network. Our …

Evaluating Scoliosis Severity Based on Posturographic X-ray Images Using a Contrastive Language–Image Pretraining Model

A Fabijan, R Fabijan, A Zawadzka-Fabijan… - Diagnostics, 2023 - mdpi.com
Assessing severe scoliosis requires the analysis of posturographic X-ray images. One way
to analyse these images may involve the use of open-source artificial intelligence models …

[HTML][HTML] AI-Driven clinical decision support systems: an ongoing pursuit of potential

M Elhaddad, S Hamam - Cureus, 2024 - ncbi.nlm.nih.gov
Abstract Clinical Decision Support Systems (CDSS) are essential tools in contemporary
healthcare, enhancing clinicians' decisions and patient outcomes. The integration of artificial …

Digital health tools in nephrology: A comparative analysis of AI and professional opinions via online polls

JH Pham, C Thongprayoon, S Suppadungsuk… - Digital …, 2024 - journals.sagepub.com
Background Professional opinion polling has become a popular means of seeking advice
for complex nephrology questions in the# AskRenal community on X. ChatGPT is a large …

Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery

K Ouanes, N Farhah - Journal of Medical Systems, 2024 - Springer
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …

Current perspectives on the use of artificial intelligence in critical patient safety

JAB Mendoza, MV Fernandez, AP Fernandez… - Medicina Intensiva …, 2024 - Elsevier
Abstract Intensive Care Units (ICUs) have undergone enhancements in patient safety, and
artificial intelligence (AI) emerges as a disruptive technology offering novel opportunities …