Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The fourth industrial revolution, often referred to as Industry 4.0, has revolutionized the manufact...
In this paper, a deep learning based framework has been developed to predict hydrodynamic forces on ...
Extracting speech information from vibration response signals is a typical system identification pro...
ChatGPT has the potential to revolutionize occupational medicine by providing a powerful tool for an...
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis and analys...
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated sig...
The United States Medical Licensing Examination (USMLE) has been a subject of performance study for ...
Deep neural networks have become increasingly significant in our daily lives due to their remarkable...
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiq...
Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when i...
PURPOSE: The proposed work aims to develop an algorithm to precisely segment the lung parenchyma in ...
The application of artificial intelligence (AI) in medical practice is spreading, especially in tech...
In image classification, a deep neural network (DNN) that is trained on undistorted images constitut...
Changes in behavioral state, such as arousal and movements, strongly affect neural activity in senso...
Accurate segmentation of head and neck organs at risk is crucial in radiotherapy. However, the exist...
Segmenting breast tumors from dynamic contrast-enhanced magnetic resonance (DCE-MR) images is a crit...
Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the ...
Artificial intelligence (AI)-assisted robotic surgery seems to offer promise for improving patients'...
Though deep learning-based saliency detection methods have achieved gratifying performance recently,...
Defect inspection is important to ensure consistent quality and efficiency in industrial manufacturi...
During surgery for foci-related epilepsy, neurosurgeons face significant difficulties in identifying...