Latest AI and machine learning research in product alert for healthcare professionals.
BACKGROUND: Social media is a significant source of information for post-secondary students, who are...
OBJECTIVE: This paper presents a two-stage machine learning model for electrographic seizure detecti...
BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and chi...
Selectivity towards specific analytes and detection at sub-ppm levels remain significant challenges ...
OBJECTIVE: To develop a fast image reconstruction method for stroke monitoring with electrical imped...
BACKGROUND AND AIMS: While remeasuring portacaval pressure gradient (PPG) after transjugular intrahe...
PURPOSE: Prediction models can contribute to disparities in care by performing unequally across demo...
OBJECTIVES: To compare two deep learning (DL) approaches for low-count PET/CT: deep progressive reco...
BACKGROUND: Adverse drug reactions (ADRs) present challenges to patient safety and healthcare system...
Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to mai...
Drug-drug interaction (DDI) poses a major challenge in clinical pharmacology, often compromising the...
BACKGROUND: Nearly half of the patients who received endovascular thrombectomy (EVT) for large vesse...
Poststroke cognitive impairment is a common neurological complication in stroke patients, characteri...
Nuclear pore complex (NPC) undergoes dynamic changes in physiology and pathology, yet its roles in n...
BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Mo...
This study aims to construct a predictive model for post-thrombectomy hemorrhagic transformation (HT...
AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However...
Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term car...
AIMS: This study aimed to predict post-transplant malignancy risks at multiple levels among lung tra...
Recent advances in AI are pushing the limits of traditional hardware, making physical neural network...
BACKGROUND: Post-percutaneous coronary intervention (PCI) Murray's law-based quantitative flow ratio...