Latest AI and machine learning research in ethics for healthcare professionals.
OBJECTIVE: To compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRI) protocol ...
INTRODUCTION: Artificial intelligence (AI) offers several opportunities to enhance medical care, but...
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathog...
BACKGROUND: The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of...
Artificial intelligence (AI) is transforming healthcare by enhancing clinical decision-making, parti...
MOTIVATION: As the biological roles and disease implications of non-coding RNAs continue to emerge, ...
ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced...
PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PI...
In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...
Heart rate is a crucial indicator of human health with significant physiological importance. Traditi...
BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targe...
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximu...
IMPORTANCE: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respo...
Artificial intelligence (AI) has the potential to standardize and automate important aspects of fert...
BACKGROUND: The Ki-67 antigen, a marker of cell proliferation, serves as a biomarker for assessing t...
Mathematical optimization is fundamental across many scientific and engineering applications. While ...
Artificial intelligence (AI) has emerged as a powerful tool, that has the potential to impact societ...
OBJECTIVE: This study aimed to determine the diagnostic precision of a deep learning algorithm for t...
BACKGROUND: The sensitivity and discrimination capacity of sensory systems can be improved by percep...
PURPOSE: The goal of this paper is to compare the effectiveness of three deep learning models (2D, 3...
AbstractAs artificial intelligence (AI) becomes increasingly incorporated into the workflow of clini...