Preventive Care

MTMedFormer: multi-task vision transformer for medical imaging with federated learning.

Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

High-throughput screening and DFT characterization of bimetallic alloy catalysts for the nitrogen reduction reaction.

The lack of active and selective catalysts hinders transition to the electrochemical nitrogen reduct...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

IMPORTANCE: The prevalence of severe mental illnesses (SMIs) in the United States is approximately 3...

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. Wh...

Retraction Note: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications.

Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening.

BACKGROUND: Abbreviated breast MRI protocols are advocated for breast screening as they limit acquis...

Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside.

PURPOSE OF REVIEW: The integration of artificial intelligence (AI) with point-of-care ultrasound (PO...

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their...

Ultrahigh-Throughput Virtual Screening Strategies against PPI Targets: A Case Study of STAT Inhibitors.

In recent years, virtual screening of ultralarge (10) libraries of synthetically accessible compound...

Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

The analysis of medical imaging reports is labour-intensive but crucial for accurate diagnosis and e...

Co-Design of a Health Screening Program Fact Sheet by People Experiencing Homelessness and ChatGPT: Focus Group Study.

BACKGROUND: People experiencing homelessness have worse oral health outcomes and a notable health in...

A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross-Sectional Multicenter Survey.

BACKGROUND AND AIMS: Nurses' participation during colonoscopy has been demonstrated to significantly...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and re...

Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.

BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of ...

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial.

BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological chang...

Comparative analysis of artificial intelligence tools for the dissemination of colorectal cancer screening guidelines: a novel perspective on early screening education.

This study systematically evaluated the effectiveness of three artificial intelligence (AI) tools-Ch...

Predicting quality measure completion among 14 million low-income patients enrolled in medicaid.

Low-income populations have disproportionately low completion of recommended healthcare services, fr...

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study.

Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic...