Primary Care

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

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LLM-Assembled Multiscale Cascades for High-Throughput Screening: The Case of Thermoelectric Materials.

High-throughput screening workflows often rank materials with a sequence of filters, but a single sequence can hide how strongly the final ranking depends on the chosen physical approximations. Here a multiscale cascade means an ordered workflow in which outputs from electronic, lattice, microstructural, uncertainty, and device-level models are passed from one layer to the next; the layers are the...

Jun 25 2026 42351350

Using AI to identify in-hospital falls: a comparative analysis with incident reports and manual chart review.

INTRODUCTION: Falls remain a problem in hospitalised patients, especially in older adults. In-hospital falls occasionally lead to injuries. Currently, the rate of falls in hospitals is monitored using incident reports, which often leads to underreporting. Recently, natural language processing (NLP) models gained interest. In this study, an NLP model (AI algorithm) to detect falls in nursing record...

Jun 25 2026 42349996
State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with diagnostic disparities, particularly pronounced in resourc...

Jun 25 2026 42361398
Association of glycolipid metabolism 6 factors index with cardiovascular and metabolic diseases, and its predictive value in disease progression.

BACKGROUND: The study aims to investigate the potential of glycolipid metabolism 6 factors (GLM6) and glycolipid metabolism 7 factors (GLM7) indexes i...

Jun 25 2026 42343324
Metabolic and vascular outcomes after transition to the MiniMed 780G system in adults ≥65 years with type 1 diabetes: a randomised, single-centre study.

AIMS/HYPOTHESIS: Hybrid closed-loop insulin delivery systems are increasingly regarded as the preferred therapy for type 1 diabetes, although evidence...

Jun 25 2026 42347980
Empowering digital health management with on-device large language models for glucose prediction: a model development and validation study.

BACKGROUND: Long-term management of chronic diseases such as diabetes is increasingly based on wearable technologies, particularly continuous glucose ...

Jun 25 2026 42349253
Towards trustworthy AI-driven cuffless blood pressure monitoring.

Cuffless blood pressure monitoring is becoming increasingly feasible with the rise of wearable technologies, offering significant promise for preventi...

Jun 25 2026 42350588
Prediction of all-cause mortality in older adults in Colombia: real-world evidence from a middle-income country.

Accurate mortality prediction in older adults is a critical component of precision public health and risk stratification in healthcare systems worldwi...

Jun 25 2026 42350702
A bibliometric analysis of research trends and future directions in early detection of pancreatic cancer.

BACKGROUND: Research on the early detection of pancreatic cancer has grown rapidly in recent years; however, existing bibliometric studies in this fie...

Jun 25 2026 42350705
AI and machine learning for early identification of eating disorders: a narrative review and Indian contextual insights.

BACKGROUND: Eating disorders (EDs) are a growing global health concern and are increasingly associated with negative body-image perceptions linked to ...

Jun 25 2026 42350841
Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care.

BACKGROUND: Identifying older home care recipients at risk of institutionalization in advance is crucial for providing preventive services. Supporting...

Jun 25 2026 42351106
Impact of machine learning on spare parts availability for critical medical devices: a supervised machine learning perspective.

PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of fai...

Jun 25 2026 41392590
Bioinformatics classification of the MgtE Mg 2 + channel and de novo protein design for the stabilization of its novel subclass.

MgtE channels play crucial roles in Mg 2 + homeostasis and are implicated in bacterial survival under antibiotic exposure. Previous structural and bio...

Jun 25 2026 42305050
AI-enabled structural bioinformatics identifies repositioned kinase inhibitor against Poxviridae kinases.

BACKGROUND: Emerging zoonotic poxviruses such as lumpy skin disease virus (LSDV) and monkeypox pose significant threats to animal and human health, ye...

Jun 24 2026 42341425
Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.

PURPOSE: Nasopharyngeal carcinoma (NPC) is located in the nasopharyngeal mucosa and is a malignant tumour of the head and neck, and approximately 70% ...

Jun 24 2026 42343241
An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study.

BACKGROUND: Primary biliary cholangitis (PBC) management remains limited by reliance on static biochemical markers, fragmented assessment of symptom b...

Jun 24 2026 42343691
Smartphone-based offline AI for multi-disease retinal screening: Real-world accuracy.

ObjectiveTo evaluate the diagnostic accuracy of a multi-disease offline artificial intelligence system (Medios-AI, MAI), integrated into a smartphone-...

Jun 24 2026 42339716
The systems medicine view of semaglutide: from clinical trials to molecular mechanisms.

INTRODUCTION: Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), is a key therapy in managing type 2 diabetes (T2D), offering signific...

Jun 24 2026 42339860
Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment.

Purpose To investigate whether deep learning models trained on chest radiographs (CXRs) rely on radiographic exposure parameters as shortcut features ...

Jun 24 2026 42340188
Behavioral patterns in iGaming across territories: Psychiatric and AI-driven insights via the internet of behavior.

BackgroundIn the digital era, iGaming has become a rapidly expanding phenomenon that generates complex behavioral patterns and increases the risk of p...

Jun 24 2026 42340261
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