Artificial Intelligence Medical Compendium

The challenging transformation of medicine in the twenty-first century, involving robotics, artificial intelligence (AI) and the digitalization of daily work routines, is hampered by bureaucratic hurdles, a shortage of skilled workers and socioeconom... read more 

Parkinson disease is an ongoing neurodegenerative disorder, and both motor and non-motor symptoms are involved with the existing therapies having minimal effects on the disease but only symptom alleviation. The goal of this systematic literature revi... read more 

Epilepsy is one of the most heterogeneous and unpredictable neurological disorders, characterized by complex brain dynamics, significant interindividual variability, and a therapeutic response that is often difficult to predict. Despite major advance... read more 

OBJECTIVES: To develop and validate a phase-adaptive pipeline for automated whole-liver, parenchyma-based quantification of signal intensity-derived liver indices from gadoxetic acid-enhanced MRI without inter-phase co-registration. MATERIALS AND MET... read more 

This systematic review evaluates evidence on artificial intelligence (AI) and machine learning (ML) models for prediction and diagnosis of fetal growth restriction (FGR). The authors searched PubMed, Scopus, Embase, Web of Science, and Google Scholar... read more 

Plastic pollution is among this century's defining environmental problems, and aquatic systems carry a disproportionate share. As polymers fragment into microplastics and nanoplastics they disperse through rivers, lakes and oceans, harming organisms ... read more 

Tumor angiogenesis is a hallmark of cancer, influencing oxygen delivery, immune cell trafficking, and therapeutic response. Although anti-angiogenic therapies have achieved clinical relevance, their efficacy remains limited by tumor heterogeneity, ad... read more 

BACKGROUND: Outcome prediction in neuro-oncology remains challenging due to heterogeneity in tumor biology, imaging characteristics, treatment response, and patient-specific clinical factors. Although molecular databases have advanced understanding o... read more 

This study examines subharmonic frequency lock-in and phase synchronization of vortex shedding behind a partially immersed circular cylinder placed in a steady water current and subjected to harmonic surface waves. A forced Van der Pol wake-oscillato... read more 

This study presents a numerical and artificial intelligence-based investigation of two-dimensional, steady, mixed convective flow of a non-Newtonian Williamson nanofluid over an inclined wedge in the presence of viscous dissipation, magnetic field, s... read more