Latest AI and machine learning research in information technology for healthcare professionals.
Catatonia, a complex syndrome with diagnostic challenges, was studied using a novel approach combini...
Protein secondary structure annotation is essential for understanding protein architecture, serving ...
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intellige...
With the recent advances in technology, a wide range of systems continue to collect a large amount o...
Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, ac...
In recent years, hip arthroscopy has made great progress and has been extended to the treatment of i...
BioPortal (https://bioportal.bioontology.org) is the world's most comprehensive repository of biomed...
OBJECTIVE: A large proportion of electronic health record (EHR) data consists of unstructured medica...
Starting in the 1970s with robots that were physically isolated from contact with their human co-wor...
The emergence of new-generation artificial intelligence technology has brought numerous innovations ...
The increasing availability and accessibility of electronic health record (EHR) data has made it a r...
Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...
When a deep learning model is trained sequentially on different datasets, it often forgets the knowl...
OBJECTIVES: As large language models (LLMs) are integrated into electronic health record (EHR) workf...
BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...
OBJECTIVE: This study uses probabilistic independence to disentangle patient-specific sources of dis...
BACKGROUND: Processing scanned documents in electronic health records (EHR) was one of the problem i...
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...
OBJECTIVE: Electronic health records (EHR) are widely available to complement administrative data-ba...
OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model tha...
OBJECTIVE: Diagnosis codes documented in electronic health records (EHR) are often relied upon to cl...