Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
BACKGROUND: Before surgical resection of lung tumor, intraoperative biopsy is needed for cancer diag...
Artificial intelligence (AI) is increasingly used to support medical interpreting and public health ...
BACKGROUND: Data linkage in pharmacoepidemiological research is commonly employed to ascertain expos...
Imbalanced datasets are always problematic in training machine learning models, so that classifiers ...
INTRODUCTION: Within the UK there are 33 deaths every day from prostate cancer, second only to lung ...
OBJECTIVES: Understanding service users' knowledge of and attitudes towards the rapidly progressing ...
The integration of medical open databases with artificial intelligence (AI) technologies marks a tra...
In robot-assisted breast ultrasound scanning, conventional 2-D imaging often fails to fully capture ...
The properties and stability of hydrous phases are crucial to unraveling the mysteries of the deep w...
BACKGROUND AND OBJECTIVE: Hydroxycarboxylic acid receptor 1 (HCAR1), also known as the lactate recep...
Accurate segmentation of medical images is crucial for diagnosis and treatment planning, yet it rema...
The dramatic increase in IoT devices in a smart ecosystem like smart cities, transportation systems,...
This study aims to develop a machine learning model capable of predicting the type of non-compliance...
Despite notable advances in deep learning, accurately segmenting lung lesions in computed tomography...
Artificial intelligence (AI) already influences how older adults are identified for services, suppor...
Generative Artificial Intelligence (GenAI) tools are increasingly integrated into research and acade...
Artificial intelligence (AI) has transformed medical imaging, notably in radiology and endoscopy. Se...
The study of moving boundary problems requires determining the moving interface which is a-priori un...
A critical bottleneck limiting the potential of Machine Learning (ML) and Deep Learning (DL) models ...
PINNs, enabling the assimilation of physical laws and sparse observational data into deep models, ha...
Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique that reconstructs...