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Systematic prioritization of candidate genes in camptothecin biosynthesis using multi-omics and deep learning.

Camptothecin (CPT), a plant-derived monoterpene indole alkaloid first identified in Camptotheca acuminata, is a drug precursor widely used for cancer chemotherapeutics. However, the full set of genes responsible for CPT biosynthesis remains unclear, hindering efforts to elucidate the complete pathway or establish biosynthetic production of CPT in heterologous hosts. In this study, we engineered an...

Large Language Models vs. NASS Common Coding Scenarios: An Analysis of Accuracy and Financial Implications using 2026 CPT AMA Codebook Guidelines.

BACKGROUND CONTEXT: Accurate Current Procedural Terminology (CPT) coding is essential for compliant revenue cycle management in spine surgery. However, increasing documentation burdens and the complexity of bundling rules often lead to significant revenue leakage or audit risk. PURPOSE: To evaluate the baseline efficacy of three state-of-the-art Large Language Models (LLMs) in generating accurate ...

Patients' Perspectives on Applications of AI and Personalized Medicine in Life-Threatening Heart Disease: European Cross-Sectional Patient Questionnaire Study.

BACKGROUND: The growing integration of personalized risk prediction (PRP) and AI substantially reshapes diagnostic and therapeutic decision-making in ...

An ICD gene set-derived immune contexture signature for colorectal cancer prognosis: integrated single-cell and bulk transcriptomic analysis with external validation.

Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...

Grading-labour cost analysis of AI-assisted versus human-only diabetic retinopathy screening in two Danish healthcare settings.

PURPOSE: Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology ca...

AI-assisted radiographic fracture detection and length of stay in the adult ambulatory orthopedic emergency department: a before-after cohort study with a disease-specific internal control.

BACKGROUND: Although artificial intelligence-assisted radiographic fracture detection tools (AI-RFDT) have demonstrated high diagnostic accuracy in ad...

[Artificial intelligence in the preparation of clinical expert opinions : Current evidence, use cases, and limitations in orthopedic assessment].

BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the...

Multimodal Digital Therapeutics Enhanced by Task Design and AI for Attention-Deficit/Hyperactivity Disorder Core Symptoms and Executive Functions in Children and Adolescents: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Digital therapeuti...

From general-purpose models to purpose-built artificial intelligence Systems for Health economic Modeling.

INTRODUCTION: Health economic models (HEMs) provide a solid foundation for reimbursement policy decisions that shape patient access to new treatments ...

Machine Learning to Identify Point-of-Care Ultrasound and Evaluate Standardized Documentation: Retrospective Operational Cohort Study.

BACKGROUND: Point-of-care ultrasound (POCUS) is integral to obstetrics and gynecology (OBGYN), offering bedside diagnostic and therapeutic advantages....

Early Adoption of Autonomous Artificial Intelligence Screening for Diabetic Retinopathy After Introduction of Medicare Billing Code 92229.

PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous artificial intelligence (AI) systems for screening...

The Human Sleep Project: A Multi-Center Clinical Polysomnography Dataset Across the Human Lifespan.

STUDY OBJECTIVES: Sleep research has been limited by the lack of large, diverse polysomnography (PSG) datasets. Existing resources are often single-ce...

Precision pharmacology: deep learning infused ontological framework with E-GRU enhancement for tailored medicine prescriptions.

Advanced Clinical Decision Support Systems significantly influence patient care, with medicine prescriptions being a vital area of research. Ontology,...

Heterogeneity in the association between antihypertensive medications and Alzheimer's disease and related dementias risk: A multidimensional machine learning analysis to inform drug repurposing.

BackgroundAlzheimer's disease and related dementias (ADRD) place an immense burden on patients, families, and health systems in the United States. Hyp...

Who Owns Arthroplasty Data?: Governance in the Era of Robotics, Registries, and Industry Partnerships.

Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contem...

Prediction of heart arrhythmia onset in patients with ICD using machine learning algorithms.

PURPOSE: The current study uses machine learning algorithms to predict the onset of cardiac arrhythmia in patients with implantable cardioverter-defib...

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review.

International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...

Artificial Intelligence for Automated Current Procedural Terminology Coding in Plastic and Reconstructive Surgery Using a Fine-tuned Hybrid Large Language Model.

BACKGROUND: Current Procedural Terminology (CPT) coding in plastic and reconstructive surgery is complex, time-intensive, and prone to error, particul...

Transcranial photobiomodulation improves prefrontal oxygenation and impulse control in adults with ADHD: a randomized controlled trial.

BACKGROUND: Impulsivity in individuals with attention-deficit/hyperactivity disorder (ADHD) diminishes quality of life. Cortical hypometabolism has be...