Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, ...
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain ima...
This work proposes, for the first time, an image-based end-to-end self-normalization framework for p...
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a si...
Person Re-identification (Re-ID) aims to match person images across non-overlapping cameras. The exi...
Deep learning methods have achieved great success in medical image analysis domain. However, most of...
This study investigates driving behaviour in different stages of rear-end conflicts using vehicle tr...
Deep learning, particularly convolutional neural networks (CNNs), has advanced positron emission tom...
Gravitational forces can induce deviations in body posture from desired configurations in multi-legg...
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary fu...
Brain-computer interfaces (BCIs), representing a transformative form of human-computer interaction, ...
Reinforcement learning aided by the skill conception exhibits potent capabilities in guiding autonom...
Deep neural networks have been widely adopted in numerous domains due to their high performance and ...
Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained languag...
Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new paradigms ...
The end-to-end process in the discovery of drugs involves therapeutic candidate identification, vali...
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufa...
. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines t...
Knee osteoarthritis (OA) diagnosis is based on symptoms, assessed through questionnaires such as the...
Electroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure predic...
. To improve breast cancer risk prediction for young women, we have developed deep learning methods ...