Artificial Intelligence Medical Compendium

OBJECTIVE: Although artificial intelligence tools show promise for enhancing the diagnosis of head and neck lesions, few studies have tested these resources for the microscopic diagnosis of salivary gland tumors. Specifically, the microscopic differe... read more 

BACKGROUND: This scoping review highlights major advances and persisting gaps in robotic and AI-driven rehabilitation for stroke, evaluating their impact on hand strength, dexterity, and ROM, and offering clinicians practical, updated guidance. METHO... read more 

OBJECTIVE: This study investigates the use of neural networks to predict potential osteoporotic metabolic conditions using the Panoramic Mandibular Index (PMI) derived from panoramic radiographs. STUDY DESIGN: A total of n = 750 radiographs were coll... read more 

Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and HPV 18. The prevalence and mortality rates of this cancer are much higher in countries with low and... read more 

read more 

BACKGROUND & AIMS: Assessment of histologic disease activity (grading) and fibrosis (staging) is a prerequisite for patient selection and evaluation of treatment response in clinical trials of metabolic dysfunction-associated steatohepatitis (MASH). ... read more 

BACKGROUND: There is still no clinical biomarker to diagnose depression. Given the complexity of a multifactorial disease like depression, a single biomarker is unlikely to capture the full heterogeneity of the disease and be applicable in clinical p... read more 

Rumination is problematic for individuals with obsessive compulsive disorder (OCD), and yet, is not addressed in standard treatment for OCD. Further, little is known about whether rumination improves following exposure and response prevention treatme... read more 

BACKGROUND: Clinical trials face unprecedented challenges including recruitment delays affecting 80% of studies, escalating costs exceeding $200 billion annually in pharmaceutical R&D, success rates below 12%, and data quality issues affecting 50% of... read more 

Self-driven microfluidic devices have significantly advanced point-of-care testing (POCT) by enabling integration and automation of all the components required for biochemical analysis through capillary-driven fluid flow, eliminating the need for ext... read more