Primary Care

Artificial Intelligence: Basics, Impact, and How Nurses Can Contribute.

Applying artificial intelligence (AI) to cancer care has the potential to transform and enhance nurs...

Research hotspots and trends of artificial intelligence in rheumatoid arthritis: A bibliometric and visualized study.

Artificial intelligence (AI) applications on rheumatoid arthritis (RA) are becoming increasingly pop...

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...

Addressing obesity and homelessness via ChatGPT.

ARTIFICIAL INTELLIGENCE: CREATING NEW PARADIGMS IN THE MANAGEMENT OF NON-COMMUNICABLE DISEASES.

The role of Artificial Intelligence (AI) in medical science is growing immensely. Since AI contains ...

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...

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic intervent...

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

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...

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Advancing our understanding of complex diseases necessitates an interdisciplinary dialogue beyond ar...

Rebooting cancer screening with artificial intelligence.

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

A DIY 'bionic pancreas' is changing diabetes care - what's next?

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...

[Pediatric oral maxillofacial management and artificial intelligence].

With the enhancement of aesthetic awareness of children's oral maxillofacial development, multi-disc...

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...