Latest AI and machine learning research in surveillance for healthcare professionals.
The increasing digitalization of healthcare necessitates laboratory data interoperability to ensure reliable clinical decision-making, efficient data exchange, and effective secondary use. Most Korean institutions use electronic systems for laboratory test reporting. However, the lack of standardized terminology, measurement units, and data structures has led to reporting inconsistencies and limit...
Artificial intelligence (AI) has emerged as a promising tool in forensic sciences, offering new opportunities for personal identification through automated analysis of biological and imaging data. AI-based approaches have been increasingly applied to tasks such as sex estimation, human identification, ancestry estimation, and kinship analysis. This systematic review aims to synthesize the availabl...
BACKGROUND: Heart failure is not only a prevalent disease with a high mortality rate, but also generates high costs for healthcare systems. By trainin...
Individual cells sense and transition between functional states, and the distribution of these states over time determines drug response, disease prog...
Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and ma...
Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials...
The diagnosis of prostate cancer rests on the histopathological evaluation of prostate needle core biopsy specimens (NCBS) supplemented by immunohisto...
Antimicrobial resistance (AMR) is rising worldwide, and a better understanding of the genetic and socioeconomic determinants tied to it may establish ...
INTRODUCTION: Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health ed...
Security screening systems require reliable and real-time detection of threats in complex X-ray imagery and surrounding environments. Manual inspectio...
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essential for diagnosis, treatment decision-making, and pr...
Predicting drug-induced cardiotoxicity remains one of the most important challenges in drug safety, contributing to a substantial share of clinical tr...
INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting i...
PURPOSE: To evaluate whether an artificial intelligence (AI)-assisted surveillance device, AUGi, improves documentation of falls and injury rates in a...
This clinical review details the current approach for the detection and management of perihilar cholangiocarcinoma in patients with primary sclerosing...
Organ transplantation remains a gold-standard intervention for numerous end-stage organ failure diseases. However, allograft rejection is still a barr...
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-...
BACKGROUND: Urine cytology is a noninvasive and valuable tool for detecting urothelial carcinoma but suffers from variable sensitivity and observer de...
This review examines the convergence of wearable biosensors and artificial intelligence (AI) in personalized diabetes care. It addresses the limitatio...
Across Africa, substantial investment has built national health information systems (HISs), including the surveillance platforms, reporting tools, and...