Artificial Intelligence Medical Compendium

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe mucocutaneous reactions primarily triggered by drugs or infections. Although acute management focuses on systemic stabilization, chronic ocular sequelae remain... read more 

Orthognathic surgery is often required to address moderate to severe skeletal class II malocclusion, a condition that affects both facial aesthetics and function. Traditional diagnosis relies on cephalometric radiographs and expert evaluation, which ... read more 

Postoperative delirium is a common complication following sub-thalamic nucleus deep brain stimulation surgery in Parkinson's disease patients. Postoperative delirium has been shown to prolong hospital stays, harm cognitive function, and negatively im... read more 

This study investigated radiologists' perceptions of AI-generated, patient-friendly radiology reports across three modalities: MRI, CT, and mammogram/ultrasound. The evaluation focused on report correctness, completeness, terminology complexity, and ... read more 

Alzheimer's disease is a neurodegenerative disorder that leads to progressive memory loss, cognitive decline, and behavioral changes. Despite ongoing research, its exact causes and effective treatments remain elusive. Traditional approaches have focu... read more 

Dual inhibitors of 5HT1A and 5HT7 serotonin receptors provide improved therapeutic effectiveness for depression, anxiety disorders, and neuropsychiatric conditions, potentially decreasing the necessity for multiple medications and reducing side effec... read more 

A neurological disease, named autism spectrum disorder (ASD), is portrayed through divergence with social interaction, communication, and repetitive activities. As heredity is an important source, initial identification and treatment can diminish the... read more 

Type 2 diabetes mellitus (T2DM) is associated with increased skeletal fragility, yet standard clinical assessments often fail to detect diabetes-induced changes in bone quality. Raman spectroscopy (RS), a label-free and non-destructive technique, off... read more 

INTRODUCTION: The integration of artificial intelligence (AI) into pharmacovigilance (PV) has advanced rapidly in recent years. AI tools have the potential to transform signal management by enabling faster and more accurate signal management and deci... read more 

OBJECTIVES: The study aims to identify highly synergistic drug combinations for breast cancer treatment using machine learning models. The primary objective is to predict drug synergy scores accurately and rank combinations with the highest potential... read more