Latest AI and machine learning research in risk management for healthcare professionals.
Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based reconstructions of rapidly acquired, undersampled MRI in the shoulder are lacking. Purpose To compare the acquisition time, image quality, and diagnostic confidence of DL-reconstructed TSE (TSE) with standard TSE in patients indic...
BACKGROUND: Many authors have emphasized the need for individualized treatments in rehabilitation, but no tailored robotic rehabilitation protocol for stroke patients has been established yet.
Cell tracking is an essential step in extracting cellular signals from moving cells, which is vital for understanding the mechanisms underlying variou...
AIM: The aim of the work is to provide an overview of the potential application of artificial intelligence in forensic medicine and related sciences, ...
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability and interpretability of these technologies. This cha...
Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a fruitful ground for artificial intelligence (AI) a...
Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical innovation, promising enhanced diagnostics, streamlin...
A recently strategy applied to anaerobic digestion (AD) is the use of biochar (BC) obtained from the pyrolysis of different organic waste. The PRISMA ...
In 2019, the Atacama Rover Astrobiology Drilling Studies (ARADS) project field-tested an autonomous rover-mounted robotic drill prototype for a 6-Sol ...
The introduction of novel medical technology, such as artificial intelligence (AI), into traditional clinical practice presents legal liability challe...
The pigment composition of plant seed coat affects important properties such as resistance to pathogens, pre-harvest sprouting, and mechanical hardnes...
Artificial intelligence (AI) could revolutionise health care, potentially improving clinician decision making and patient safety, and reducing the imp...
With recent advances in computer vision, many applications based on artificial intelligence have been developed to facilitate the diagnosis of rare ge...
Literacy in research studies of artificial intelligence (AI) has become an important skill for radiologists. It is required to make a proper assessmen...
Understanding how a gene variant affects protein function is important in life science, as it helps explain traits or dysfunctions in organisms. In a ...
BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to improve mammography screening accuracy and reduce...
Fatigue is a risk factor that reduces quality of life and work efficiency, and threatens safety in a high-risk environment. However, fatigue is not ye...
Quantum convolutional neural networks (QCNNs) have been introduced as classifiers for gapped quantum phases of matter. Here, we propose a model-indepe...
Radical cystectomy is an invasive procedure frequently followed by postoperative complications. Although the protocol of enhanced recovery after surge...