Artificial Intelligence Medical Compendium

Drug development faces persistent challenges, with high attrition rates and unexpected adverse effects contributing to clinical trial failures. The recent convergence of large-scale biobanks, multi-omics data and computational methods, including mach... read more 

BACKGROUND: Artificial intelligence presents the potential to enhance consistency and objectivity in preclinical pediatric dentistry assessments. AIM: To evaluate the reliability of multimodal artificial intelligence (AI) models (GPT-4o, Claude-3.7-S... read more 

BACKGROUND: Clinical nutrition (CN) is becoming increasingly complex because of the rising prevalence of chronic illness, cancer, and malnutrition-related conditions such as short bowel syndrome and refeeding syndrome. Despite its clinical significan... read more 

Artificial intelligence (AI) techniques can allow for early diagnosis and treatment of acne. Bias in AI model training remains, leading to various challenges in achieving health equity in clinical practice. We aim to assess and provide an updated ove... read more 

The complementary integration of artificial intelligence (AI) in the workplace requires balancing performance goals with psychological needs, as both are essential for sustained outcomes. This study examines different workflows (AI-first and human-fi... read more 

OBJECTIVES: The aim of this analysis was to investigate the historical development, current status, and research hotspots related to the application of magnetic resonance imaging (MRI) in dentistry from 2000 to 2024. METHODS: Topic searches related t... read more 

Ultrasound imaging has become a widely used medical modality over the past few decades. Despite technological advances, ultrasound images are susceptible to inherent noise that arises from tissue inhomogeneities and other acquisition-related uncertai... read more 

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options. Wee1 kinase, a critical regulator of the G2/M checkpoint and DNA replication, is a promising therapeutic target. However, dose dependent as... read more 

PURPOSE OF REVIEW: Diabetes foot ulcers (DFUs) affect millions globally, and are a global health challenge, contributing significantly to morbidity, mortality, and healthcare costs. This review article critically evaluates advances in artificial inte... read more 

INTRODUCTION AND AIMS: To establish and validate an interpretable machine learning (ML) model based on ultrasound (US) scoring system for differentiating immunoglobulin G4-related sialadenitis (IgG4-RS) from primary Sjögren's syndrome (pSS). METHODS:... read more