Latest AI and machine learning research in product alert for healthcare professionals.
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active surveillance (AS) and radical treatments for the management of localized prostate cancer (PCa) in patients with clinically significant disease and a well-defined index lesion (IL). The development of ablative and imaging techniques has enabled the selective treatment of the IL, preserving healthy ti...
INTRODUCTION: Medication reconciliation (MR) in the emergency department (ED) is essential to ensure medication safety, especially for patients admitted to the hospital. However, performing MR for all ED patients, including those discharged, can be inefficient. To optimize prioritization, an artificial intelligence (AI)-powered hospital admission prediction dashboard was introduced. AIM: The prima...
OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke and post-stroke continuum from acute imaging and dia...
PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor ...
OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyr...
Fourier transform infrared (FTIR) spectroscopy is often used in forensic science due to its ability to obtain a (bio-)chemical fingerprint of the samp...
Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are frequently associated with administration errors or...
BACKGROUND: Accurately forecasting patient arrivals in hospital emergency departments (EDs) is critical for hospital capacity and planning and clinica...
Real-world evidence (RWE), derived from real-world data, offers key insights into metabolic dysfunction-associated steatotic liver disease (MASLD). RW...
INTRODUCTION: Axial pain is a common complication following expansive unilateral open-door laminoplasty (ELAP); however, traditional statistical metho...
PURPOSE: To evaluate the image quality of three reconstruction methods-filtered back projection (FBP), adaptive statistical iterative reconstruction (...
PurposeTo evaluate the utility of CataractBot, an LLM (Large Language Model)-powered chatbot that provides doctor-verified answers to patient question...
Alternative splicing (AS) is one of the principal mechanisms of post‑transcriptional regulation that confers transcriptomic plasticity and proteomic d...
The treatment of depression involves numerous barriers, both before and after individuals seek professional care. Online health communities (OHCs) hav...
BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product related injuries reported each year. Traditional ...
Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high-risk patients and reducing h...
BACKGROUND: Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra-short echo time MRI (UTE-MRI) offers a radiation-free altern...
Traditional knowledge from medicinal plants receives substantial analysis through the field of ethnopharmacology in its role for drug discovery. AI te...
PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key fiber tracts and improved peri-operative planning...
The PCB-Defect dataset was developed to advance automated defect detection in Printed Circuit Boards. This dataset presents a comprehensive collection...