Latest AI and machine learning research in risk management for healthcare professionals.
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has spread on an unprecedented scale around the globe. Despite of 141,975 published papers on COVID-19 and several hundreds of new studies carried out every day, this pandemic remains as a global challenge. Biomedical literature mining helps the researchers to understand the etiology of the di...
In biomedicine, facts about relations between entities (disease, gene, drug, etc.) are hidden in the large trove of 30Â million scientific publications. The curated information is proven to play an important role in various applications such as drug repurposing and precision medicine. Recently, due to the advancement in deep learning a transformer architecture named BERT (Bidirectional Encoder Repr...
The ability to manipulate capripoxvirus through gene knockouts and gene insertions has become an increasingly valuable research tool in elucidating th...
The advent of artificial intelligence ("AI") holds great potential to improve clinical diagnostics. At the same time, there are important questions of...
The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has encouraged important legal and ethi-cal considerati...
Anastomotic complications occur after 5% to 20% of operations for rectosigmoid colon cancer. The intestinal perfusion status at the anastomotic site i...
Structure-based virtual screenings (SBVSs) play an important role in drug discovery projects. However, it is still a challenge to accurately predict t...
Detection of seizures as well as that of seizure auras is effective in improving the predictive accuracy of seizure liability of drugs. Whereas electr...
The Pharmacogenomics Knowledgebase (PharmGKB) is an integrated online knowledge resource for the understanding of how genetic variation contributes to...
High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropr...
The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result fro...
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), invades a human cell via human angiotensin-converting enzyme 2 (h...
OBJECTIVE: Sentiment analysis is a popular tool for analyzing health-related social media content. However, existing studies exhibit numerous methodol...
Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, and tie remain the staples of surgical craft, new t...
Models from machine learning (ML) or artificial intelligence (AI) increasingly assist in guiding experimental design and decision making in molecular ...
Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, due to system complexity, the variability of their a...
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the v...
The rapid growth of biomedical ontologies observed in recent years has been reported to be useful in various applications. In this article, we propose...
Machine learning algorithms are being used to screen and diagnose disease, prognosticate and predict therapeutic responses. Hundreds of new algorithms...
The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical...