Biomarkers such as calcium channel binding protein S100 subunit beta (S100B), glial
fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase L1 (UCH-L1) and neuron …

Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical
practice is essential. Growing numbers of studies using AI for digital pathology have been …

The objective of the current systematic review was to critically review the available evidence
regarding the link between social jetlag and diet among the general population using …

Background Management of bleeding trauma patients is still a difficult challenge. Massive
transfusion (MT) requires resources to ensure the safety and timely delivery of blood …

Research has posited that machine learning could improve suicide risk prediction models,
which have traditionally performed poorly. This systematic review and meta-analysis …

Background Novel blood-based protein biomarkers may be of value for efficient, accurate,
and non-invasive diagnosis of pancreatic cancer. This study assesses the diagnostic …

Rationale and Objectives Recent advancements in artificial intelligence (AI) render a
substantial promise for epidermal growth factor receptor (EGFR) mutation status prediction …

For many users of the biomedical literature, abstracts may be the only source of information
about a study. Hence, abstracts should allow readers to evaluate the objectives, key design …

Introduction and objectives Fatty liver disease is an important public health problem. Early
diagnosis is critical to lower its rate of progression to irreversible/terminal stages. This study …

Background US-indeterminate adnexal lesions remain an important indication for
gynecologic surgery. MRI can serve as a problem-solving tool through the use of the …