Latest AI and machine learning research in risk management for healthcare professionals.
With the wide application of artificial intelligence (AI) technology in clinical practice, more and more legal problems need to be solved. At present, although the legal status of AI is still controversial in academic and practical circles, its infringement risk in clinical diagnosis and surgery cannot be avoided. On the basis of the distinction between strong and weak AI liability subjects, those...
Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep learning techniques, have found application in numerous fields of medicine. They are used to create chatbots to provide health information to citizens and patients, to make medical diagnoses, to identify the best treatment to use for a specific patient, to predict a patient's risk of experiencing a spec...
The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt website receives about 800,...
Effective full quantum mechanics (FQM) calculation of protein remains a grand challenge and of great interest in computational biology with substantia...
Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through reverse vaccinology. The application of in silico ...
Evidence-based medicine, outcomes management, and multidisciplinary systems are laying the foundation for radiology on the cusp of a new day. Environm...
Artificial Intelligence and machine learning are novel technologies that will change the way veterinary medicine is practiced. Exactly how this change...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to mi...
Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to patients. Predictive analytics using ML are alrea...
Spasticity is a motor disorder characterised by a velocity-dependent increase in muscle tone, which is critical in neurorehabilitation given its high ...
Autism is a neurodevelopmental disorder in which the available therapies target the improvement of social skills, in order to ensure a high quality of...
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the cancer type and disease stage at diagnosis. We sys...
The Illumina genotyping microarrays generate data in image format, which is processed by the platform-specific software GenomeStudio, followed by an a...
Accurate simulation of protein folding is a unique challenge in understanding the physical process of protein folding, with important implications for...
The trade-off between a machine learning (ML) and deep learning (DL) model's predictability and its interpretability has been a rising concern in cent...
Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of benefits in nuclear medicine; however, the biggest hu...
IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and has the potential to transform clinical care and de...
The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are growing exponentially, and new developments are fast...
The major outcomes and insights of scientific research and clinical study end up in the form of publication or clinical record in an unstructured text...
In the modern health care research, protein phosphorylation has gained an enormous attention from the researchers across the globe and requires automa...