International journal of language & communication disorders
Mar 24, 2023
BACKGROUND: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowin...
Journal of stomatology, oral and maxillofacial surgery
Mar 24, 2023
The use of artificial intelligence (AI) in medical research is on the rise. This article explores the role of using ChatGPT, a language model developed by OpenAI, in writing medical scientific articles. The material and methods used included a compar...
Few empirical studies have examined how people understand counterfactual explanations for other people's decisions, for example, "if you had asked for a lower amount, your loan application would have been approved". Yet many current Artificial Intell...
Diagnostic and interventional imaging
Mar 24, 2023
Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contained in medical images. Deep learning and radiomics are the two main AI methods currently being applied within radiology. Deep learning uses a layered s...
INTRODUCTION: The treatment of urothelial tumours of the upper urinary tract at high risk of specific mortality is based on radical nephroureterectomy (RNU). Robotic-assisted laparoscopic radical nephroureterectomy (RARNU) is still under investigatio...
PURPOSE: The long acquisition time of CBCT discourages repeat verification imaging, therefore increasing treatment uncertainty. In this study, we present a fast volumetric imaging method for lung cancer radiation therapy using an orthogonal 2D kV/MV ...
Medical & biological engineering & computing
Mar 24, 2023
Heart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide each year. We propose a deep fusion learning model (DFL-IMP) that uses time series and category data from electronic health records to predict in-hospital ...
The latest evolutions in Computed Tomography (CT) technology have several applications in oncological imaging. The innovations in hardware and software allow for the optimization of the oncological protocol. Low-kV acquisitions are possible thanks to...
International journal of computer assisted radiology and surgery
Mar 24, 2023
PURPOSE: Hyperspectral imaging has the potential to improve intraoperative decision making if tissue characterisation is performed in real-time and with high-resolution. Hyperspectral snapshot mosaic sensors offer a promising approach due to their fa...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.