Latest AI and machine learning research in surveillance for healthcare professionals.
Science journalists, traditionally, play a key role in delivering science information to a wider aud...
Though medical imaging has seen a growing interest in AI research, training models require a large a...
INTRODUCTION: Diagnostic imaging is vital in emergency departments (EDs). Accessibility and reportin...
Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term foll...
Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentiona...
Salmonellosis, one of the most common foodborne infections in Europe, is monitored by food safety su...
BACKGROUND AND PURPOSE: Artificial Intelligence (AI) models in radiation therapy are being developed...
Gastrointestinal stromal tumors (GISTs) are a rare type of tumor that can develop liver metastasis (...
Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Afr...
Epidemiological modeling is a key lever for infectious disease control and prevention on farms. It m...
OBJECTIVES: Economic evaluations (EEs) are commonly used by decision makers to understand the value ...
In recent years, the utility of polygenic risk scores (PRS) in forecasting disease susceptibility fr...
Artificial intelligence tools such as the large language models (LLMs) Bard and ChatGPT have genera...
Surveillance for genetic variation of microbial pathogens, both within and among species, plays an i...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the COVID-19 disease, which ...
Prostate-specific membrane antigen targeting positron emission tomography (PSMA-PET) is routinely us...
The number of papers presenting machine learning (ML) models that are being submitted to and publish...
Previous dengue epidemiological analyses have been limited in spatiotemporal extent or covariate dim...
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis ...
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long ...
Optical fiber sensors are extensively employed for their unique merits, such as small size, being li...