Surveillance

Imaging and AI in tertiary prevention of lung cancer: Narrative review and clinical perspectives.

OBJECTIVE: To provide a structured narrative review of current evidence and future directions for artificial intelligence (AI) applications in the tertiary prevention of lung cancer, with a focus on radiology-driven recurrence surveillance, treatment response assessment, prognostic stratification, and real-world clinical implementation. METHODS: A narrative review was conducted using PubMed, Embas...

Automated Approaches of Text Simplification of Patient Education Materials: Scoping Review.

BACKGROUND: Patient education materials (PEMs) often exceed the American Medical Association's (AMA) recommended sixth-grade reading grade level (RGL). While artificial intelligence (AI) offers potential for automated text simplification, concerns persist regarding linguistic quality, content fidelity, and the understandability of simplified PEMs by laypeople. OBJECTIVE: This scoping review maps e...

Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Digital health interventions have emerged as promising solutions to strengthen maternal, newborn and child health (MNCH) systems in low-...

Pancreatic cancer.

Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late diagnosis, aggressive biology and limited therapeuti...

Leveraging large language models on free-text symptoms from participatory surveillance enhances pertussis forecasting in the United States.

BACKGROUND: Declines in childhood vaccination in the U.S. have contributed to a resurgence of vaccine-preventable diseases, including a notable increa...

Divergent neuropsychiatric and systemic toxicity profiles of abemaciclib and palbociclib: a triangulation study integrating pharmacovigilance, genetic epidemiology, and multi-omics profiling.

Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breas...

Artificial intelligence in epidemiology: Challenges and opportunities.

ThinkAI: A Natural Language Processing-based Intelligent framework for Mental Health.

In the current digital era, emotional and mental health challenges are becoming very common. Therefore, it is essential to find new and effective ways...

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with frequent exacerbations of COPD ...

Beyond Diagnosis: A Systematic Review of Artificial Intelligence and Deep Learning in Monitoring Iron Overload and Organ Toxicity in Beta-Thalassemia.

Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a primary cause of organ toxicity and mortality desp...

Enabling DCIS subtyping: leveraging foundation models for robust grading and molecular biomarker scoring.

Ductal Carcinoma In Situ (DCIS) is a non-obligate precursor of invasive breast cancer. Due to a lack of reliable prognostic markers, nearly all women ...

Impact of artificial intelligence on cardiovascular workflow, engagement, and outcomes: a systematic review.

Artificial intelligence (AI) is progressively utilized in cardiology; nonetheless, the overarching advantages across various care domains remain ambig...

Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance.

BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Our health system implemented an AAA surveillance pr...

Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review.

BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prog...

Artificial intelligence for analysing antibiotic use: an exploratory study in a tertiary care paediatric hospital in Italy.

BACKGROUND: Monitoring antibiotic consumption and resistance is central to antimicrobial stewardship (AMS). However, this is particularly challenging ...

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a les...

[Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].

The use of artificial intelligence (AI) offers significant potential to increase efficiency in hospitals, particularly in the context of demographic c...

Cybersecurity in Healthcare: A Systematic Review and Narrative Analysis.

BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valu...

Harnessing AI and bioinformatics to combat methicillin-resistant staphylococcus aureus: Innovations in genomic surveillance, diagnosis, and therapeutic development.

The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, de...

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

BACKGROUND: Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophanc...