Latest AI and machine learning research in practice management for healthcare professionals.
Ribonucleic acid (RNA) modifications, once viewed as static structural features, are now recognized as dynamic regulators of the 'epitranscriptome' that shape RNA fate. In cancer, dysregulation of RNA-modification writers, erasers, and readers reprograms RNA metabolism and translation, promoting tumorigenesis, metastasis, therapy resistance, and immune evasion. Across messenger RNAs, ribosomal RNA...
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address ethical concerns such as bias, privacy, and transparency to protect clinician and patient populations. Although prior research has examined the perspectives of medical AI stakeholders, including clinicians, patients, and health system leaders, far less ...
Cell detection is ubiquitous in the analysis of microfluidic cell assays. In cell biology, immunology, oncology, and toxicology research, studying cel...
OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substant...
INTRODUCTION: Sudden cardiac death (SCD) remains a major cause of mortality despite substantial progress in heart failure management and arrhythmia pr...
Sepsis is a major global health crisis where early recognition and effective management remain significant challenges for healthcare systems. As part ...
Human-centered artificial intelligence (AI) is increasingly recognized as important to advancing quality, safety, and trust in healthcare analytics, y...
BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based on 'non-sputum' samples to meet global goals for ...
BACKGROUND: Cutaneous melanoma is one of the most aggressive forms of skin cancer, marked by rapid progression, early metastasis, and high resistance ...
BACKGROUND: The use of artificial intelligence (AI) to analyze health care data has become common in behavioral health sciences. However, the lack of ...
BACKGROUND: The growing burden of multimorbidity challenges the healthcare system due to increased healthcare utilization and uncoordinated care. Iden...
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diag...
Non-coding RNAs (ncRNAs) play crucial roles in regulating the initiation and progression of various cancers. Accurate identification disease-related n...
Chronological age is a critical biological trait with substantial relevance in forensic investigations. Growing evidence highlights the role of long n...
A 2024 conference titled "Early Intervention in Psychosis: Systems & Communities of Care" brought together researchers, clinicians, policy experts, an...
Certain RNAs exhibit both protein-coding and regulatory non-coding functions, termed bifunctional RNAs or coding and non-coding RNAs. Long non-coding ...
Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining property of adaptive systems. In the brain, recursive sel...
Good judgment remains fundamental to clinical decision-making, and yet it is increasingly augmented by data and artificial intelligence (AI). Although...
BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allocation in lumbar fusion surgery. This study aimed ...
This study provides a bibliometric overview of cardiovascular-related bibliometric research identified in the Scopus database using a title-abstract-k...