Latest AI and machine learning research in preventive care for healthcare professionals.
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late diagnosis, aggressive biology and limited therapeutic success. Advances in multiagent chemotherapy have improved outcomes across disease stages, whereas precision medicine approaches are reshaping treatment paradigms. Personalized RNA vaccines and oncogenic KRAS-directed agents represent emerging immu...
The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for the prevention of mpox is modified vaccinia Ankara from Bavarian-Nordic (MVA-BN). We previously reported a nondurable and low-avidity antibody response against mpox elicited by MVA-BN. In this study, we expanded upon this knowledge by employing a micro...
Artificial intelligence (AI) is increasingly used for diagnostic screening. In diabetic retinopathy screening, autonomous AI systems can identify dise...
OBJECTIVES: To characterize the capabilities of CE-marked AI products for lung nodule analysis in lung cancer screening (LCS), quantify their coverage...
BACKGROUND: Anterior segment diseases are a major global cause of preventable blindness, especially in regions with limited access to specialized opht...
OBJECTIVES: To develop a large-language-model (LLM)-centric workflow flow extraction and migration of clinician-documented colonoscopy recall recommen...
Early detection of breast cancer reduces mortality and is influenced by screening strategies. The balance of benefits and harms within any screening p...
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) risk scores as provided by two AI models applied to...
BACKGROUND: Timely detection of Parkinson's disease (PD) remains limited by reliance on in-person neurological evaluations that are often costly and g...
Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that can cause adult T-cell leukemia/lymphoma, HTLV-1-as...
AIMS: Artificial intelligence (AI) tools utilizing large language models (LLMs) can accelerate scientific literature reviews by automating title, abst...
CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a les...
Endocrine disrupting chemicals (EDCs) are associated with various adverse health outcomes, thus necessitating high-throughput screening. However, curr...
Two vaccines are currently licensed against Plasmodium falciparum malaria but offer only partial protection that wanes, necessitating repeated dosing ...
OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma rele...
INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily due to diagnosis at advanced stages. Although low...
Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of histology, ranging from benign to malignant. Their de...
BACKGROUND: Adolescent suicide remains a significant public health concern, yet existing suicide screening instruments primarily focus on already mani...
PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopathy (DR) screening from fundus photographs using a u...
BACKGROUND: Artificial intelligence (AI) offers a potential solution to radiologist shortages in breast cancer screening while maintaining diagnostic ...