Primary Care

[Artificial intelligence in hypertension: where do we stand?].

Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical purposes - to assist practicing physicians - and research objectives. Hypertension presents certain specific characteristics that should be carefully considered when using AI. The measured value of blood pressure is an extremely variable parameter that is difficult to standardize and measure with pr...

Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study.

Scalable, non-invasive tools are critically needed to improve early lung cancer detection and optimize primary care referral pathways. We evaluated Inflammacheck, a point-of-care device utilizing exhaled breath condensate (EBC) H2O2 and physiological parameters with machine learning for non-invasive lung cancer detection in a real-world screening population. Exhaled Hydrogen Peroxide for Early Lun...

Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complications such as neuropathy, vision impairment, vascular...

Exploratory Analysis of Factors Associated With Pressure Injuries in Surgical Patients Assessed With the ELPO Scale.

OBJECTIVE: The objective of this study is to analyse predictors associated with pressure injury occurrence and to explore the relationship between pre...

Determinants of Intentional Pharmaceutical Poisoning: A Cross-Sectional Study From a Referral Poisoning Center in Iran.

Pharmaceutical poisoning is a major health concern and a leading method of intentional self-poisoning. In Iran, broad medication access has increased ...

From Shadows to Signals: Exploring the Strengths and Limitations of AI in Breast Cancer Lesion Detection on Screening Mammograms Compared to Radiologists and Radiology Trainees.

OBJECTIVES: Breast cancer screening with mammography reduces mortality, but interpretation errors persist. While artificial intelligence (AI) shows pr...

An Effective Machine Learning for Prioritizing Hearing Loss Screening in Older Adults: A Primary Care Approach.

BACKGROUND/OBJECTIVES: The high prevalence of hearing impairment in older adults and the scarcity of diagnostic resources in primary health care (PHC)...

Baseline biochemical evaluation for etiologic differentiation in ACTH-dependent Cushing's syndrome: machine learning and composite score analysis in a multicenter cohort of 566 patients.

BACKGROUND: Limited availability of corticotropin-releasing hormone (CRH) currently complicates the differentiation of adrenocorticotropin (ACTH)-depe...

From Data to Early Diagnosis: Artificial Intelligence as a Tool to Support Screening and Detection of Autism Spectrum Disorder in Childhood.

PURPOSE OF REVIEW: Autism spectrum disorder (ASD) is a neurodevelopmental condition with significant implications for childhood development and public...

Correction to: Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study.

Development and validation of a nomogram for predicting hemoptysis risk in patients with bronchiectasis: A study based on Random Forest algorithm.

Hemoptysis is a severe and potentially life-threatening complication of bronchiectasis. There is currently a lack of reliable tools for the individual...

Perspectives of Individuals With Obsessive-Compulsive Disorder on the Role of Artificial Intelligence in Therapy and Treatment: Thematic Qualitative Study.

BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis, monitoring, and treatment support. These include...

Skeletal muscle reprogramming of metabolic, ribosomal and developmental pathways contributes to Roux-en-Y gastric bypass-induced adaptation in women.

BACKGROUND: Understanding how skeletal muscle responds to weight loss is crucial for developing targeted strategies to manage obesity and promote sust...

Mitochondria-associated protein UQCRH serves as a potential target in mild cognitive impairment of type 1 diabetes mellitus mice.

Type 1 diabetes mellitus (T1DM) and cognitive impairment (CI) are diseases impacting human health. Mild cognitive impairment (MCI), a critical stage o...

Artificial Intelligence Based Ultrasound Screening for Antenatal Detection of Placenta Accreta Spectrum.

BACKGROUND: Placenta Accreta Spectrum is a leading cause of maternal morbidity and mortality and is increasing in incidence, yet only 30-50% of cases ...

Artificial intelligence tools for the assessment and management of dysphagia: a scoping review.

OBJECTIVES: To explore the existing artificial intelligence (AI) tools used in the assessment and management of dysphagia. DESIGN: Scoping review. DAT...

Mechanisms, management and prevention of anorectal sexually transmitted infections.

Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic inflammatory disorders; however, its specific significa...

Artificial intelligence and hypertension management: experience the journey but fasten your seatbelt.

Identifying the Most Important Influencing Factors Based on Demographic Information, Nutrition, Physical Activity, Leisure Time, and Underlying Diseases in the Severity of Disease in COVID-19 Patients Using Data Mining Techniques.

BACKGROUND AND AIMS: The COVID-19 pandemic has affected millions of individuals worldwide and resulted in substantial mortality. Data mining and machi...