Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.

Osteoinduction is an important feature of the next generation of bone repair materials. But the key ...

Vaccinology in the artificial intelligence era.

Artificial intelligence (AI) has already transformed vaccine antigen design and could transform the ...

Constructing a screening model to identify patients at high risk of hospital-acquired influenza on admission to hospital.

OBJECTIVE: To develop a machine learning (ML)-based admission screening model for hospital-acquired ...

Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review.

BACKGROUND: Cancer remains a significant health challenge in the ASEAN region, highlighting the need...

Prostate Cancer Screening Among Traditionally Underserved Populations at a Large Public Safety-Net Institution.

BACKGROUND: Existing literature underscores racial and sociodemographic disparities in prostate canc...

Nasopharyngeal cancer screening and immunotherapy efficacy evaluation based on plasma separation combined with label-free SERS technology.

BACKGROUND: In recent years, significant progress has been made in the treatment of nasopharyngeal c...

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for t...

EFCNet enhances the efficiency of segmenting clinically significant small medical objects.

Efficient segmentation of small hyperreflective dots, key biomarkers for diseases like macular edema...

Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection.

Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or tria...

Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers.

Early screening for cancer has proven to improve the survival rate and spare patients from intensive...

Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.

To address the public health issue of renal failure and the global shortage of nephrologists, an AI-...

Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows.

PURPOSE: To establish a simple and noninvasive screening test for sleep apnea (SA) that imposes less...

Optimizing Diabetic Retinopathy Screening at Primary Health Centres in India: A Cost-Effectiveness Analysis.

BACKGROUND: The eye care package under the Ayushman Bharat comprehensive primary healthcare programm...

Design of Multi-Cancer VOCs Profiling Platform via a Deep Learning-Assisted Sensing Library Screening Strategy.

The efficiency of sensor arrays in parallel discrimination of multianalytes is fundamentally influen...

Safe and accelerated screening framework for support tensor machines.

Support Tensor Machines (STMs) constitute an effective supervised learning method for classifying hi...

A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial.

Conversational artificial intelligence, in the form of chatbots powered by large language models, of...

Enhancing polyp classification: A comparative analysis of spatio-temporal techniques.

Colorectal cancer (CRC) is a major health concern, ranking as the third deadliest cancer globally. E...

Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.

Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, in...

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