Domestic Violence

Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.

PURPOSE: Real-world evaluation of a deep learning model that prioritizes patients based on risk of p...

Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients.

<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology wi...

[Application and research progress of artificial intelligence technology in trauma treatment].

OBJECTIVE: To review the application and research progress of artificial intelligence (AI) technolog...

Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study.

Background Breast screening enables early detection of cancers; however, most women have normal mamm...

Deep Learning Performance of Ultra-Widefield Fundus Imaging for Screening Retinal Lesions in Rural Locales.

IMPORTANCE: Retinal diseases are the leading cause of irreversible blindness worldwide, and timely d...

Decision Tree Versus Linear Support Vector Machine Classifier in the Screening of Medial Speech Sounds: A Quest for a Sound Rationale.

This paper describes the latest development in the classification stage of our Speech Sound Disorder...

The use of natural language processing in detecting and predicting falls within the healthcare setting: a systematic review.

Falls are a common problem associated with significant morbidity, mortality, and economic costs. Cur...

Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards.

INTRODUCTION: Amid clinicians' challenges in staying updated with medical research, artificial intel...

Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing...

Trial: AI-Supported Mammography Screening Is Safe, Time-Saving.

[Reflections on the Implications of the Developments in ChatGPT for Changes in Medical Education Models].

Ever since its official launch, Chat Generative Pre-Trained Transformer, or ChatGPT, a natural langu...

Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI.

Background Access to supplemental screening breast MRI is determined using traditional risk models, ...

Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.

Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology.

Thyroid cancer is the most common malignant endocrine tumor. The key test to assess preoperative ris...

Rebooting cancer screening with artificial intelligence.

Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.

BACKGROUND: Retinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more tha...

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.

BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to...

Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.

PURPOSE: To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based al...

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules.

Background Prior chest CT provides valuable temporal information (eg, changes in nodule size or appe...

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological proce...

Spatiotemporal Mammography-based Deep Learning Model for Improved Breast Cancer Risk Prediction.

Breast cancer is one of the most prevalent cancers among women. It is the second leading cause of de...