Latest AI and machine learning research in ethics for healthcare professionals.
INTRODUCTION: Axillary lymph node dissection (ALND) is the standard of care for breast cancer patien...
The research focuses on leveraging convolutional neural networks (CNNs) to enhance the analysis of p...
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing various scientific and cl...
There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medica...
The capacity to discern and locate positions in three-dimensional space is crucial for human-machine...
The need for innovative technology in healthcare is apparent due to challenges posed by the lack of...
With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a pro...
BACKGROUND AND AIMS: This study sought to assess the capabilities of large language models (LLMs) in...
MR images with high signal-to-noise ratio (SNR) provide more diagnostic information. Various methods...
The integration of artificial intelligence, particularly Large Language Models (LLMs), has the poten...
In recent years, there have been unparalleled prospects for psychological study due to the swift adv...
BACKGROUND AND OBJECTIVES: The aim of this study is to develop a radiomic and deep learning-based si...
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (C...
INTRODUCTION: The safety and health of food products are essential in the food industry, and the ris...
Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest pre...
The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming hea...
PURPOSE: Currently, chemoimmunotherapy is effective only in a subset of patients with advanced non-s...
Non-small cell lung cancer (NSCLC) exhibits a comparatively slower rate of metastasis in contrast to...
Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure pe...
BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in heal...