Primary Care

Carbohydrate counting in traditional Turkish fast foods for individuals with type 1 diabetes: Can artificial intelligence models replace dietitians?

OBJECTIVES: Carbohydrate counting is a recommended approach for achieving glycemic control in indivi...

Public Preferences for Emerging Cancer Screening Modalities: A Systematic Review of Discrete Choice Experiments.

BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening me...

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

PURPOSE: Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quali...

Developing and Evaluating a Natural Language Processing Algorithm to Detect Insulin Pump and Continuous Glucose Monitor Use in Electronic Health Records of Patients with Type 1 Diabetes.

OBJECTIVE: We aimed to develop and validate natural language processing (NLP) algorithms to identify...

Deep learning advances high-throughput toxicity screening of chemicals at multi-biological levels.

Deep learning (DL) has emerged as a powerful tool for modeling unstructured data, thereby improving ...

Impact of artificial intelligence-assisted colonoscopy on gastroenterology fellow performance: a pragmatic randomized controlled trial.

BACKGROUND AND AIMS: The substantial miss rate during screening and surveillance colonoscopy, partic...

An AI-based pipeline for osteoporosis/osteopenia prediction using hip radiographs.

OBJECTIVE: To develop and validate an artificial intelligence-based tool for the diagnosis of osteop...

Automated detection of neonatal pulmonary hypertension in echocardiograms with a deep learning model.

BACKGROUND: In infants, pulmonary hypertension (PH) increases morbidity and mortality. Echocardiogra...

Imaging in chronic thromboembolic pulmonary hypertension: review of the current literature.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a severe, life-threatening complication of ...

Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.

PURPOSE: In the post-COVID era, recognizing evolving physician competencies is crucial for guiding m...

Long-Term Outcomes and Cost-Effectiveness of Artificial Intelligence for Breast Cancer Screening: A Modeling Study.

OBJECTIVES: Artificial intelligence (AI)-assisted breast cancer screening may improve diagnostic acc...

Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction.

Traditional disease risk prediction models predominantly rely on statistical algorithms and often fo...

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underse...

Unfolding the diagnostic pipeline of diabetic retinopathy with artificial intelligence: A systematic review.

Diabetic retinopathy (DR) is a leading cause of vision impairment globally, necessitating early and ...

DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation.

Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, ...

Advances in high-throughput drug screening based on pharmacotranscriptomics.

BACKGROUND: Drug screening constitutes the predominant paradigm for novel drug discovery. With the d...

Customizing AI-based screening with real-world data: Practical insights from diabetic retinopathy.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally....

Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology.

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway-Impact on radiologist person-years, costs and effects.

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision suppor...

Utility of Multiclass Machine Learning Algorithms in Predicting Same-Day Discharge Following Primary Total Knee Arthroplasty.

BACKGROUND: Length of stay (LOS) is a substantial driver of costs following primary total knee arthr...

Clinical implications of computer-aided real-time size estimation of colorectal polyps during colonoscopy: a prospective study.

Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up...