Artificial Intelligence Medical Compendium

BACKGROUND: Complex spikes (CSs) in cerebellar Purkinje cells convey unique signals complementary to Simple spike (SS) action potentials, but are infrequent and variable in waveform. Their variability and low spike counts, combined with recording art... read more 

OBJECTIVE: Fenestrated-branched endovascular aortic repair (F-BEVAR) is a complex procedure that requires significant experience and advanced technical proficiency. This study leverages machine learning methods to analyze the learning curve for F-BEV... read more 

BACKGROUND: Childhood depression is an emerging global concern, yet knowledge and early detection tools remain limited in low- and middle-income regions (LMIRs). METHODS: To address this gap, a school-based prospective cohort study was conducted in N... read more 

Brackish water is widely distributed and highly overlaps with areas contaminated by vanadium (V), presenting multiple challenges for V pollution remediation due to its high salinity and complex anionic environment. This study develops a novel coffee ... read more 

BACKGROUND: To elucidate the research progress on acupuncture therapy as a complementary and alternative medicine treatment for depression by reviewing existing literature. METHODS: We conducted a comprehensive search across PubMed, Embase, Web of Sc... read more 

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Accurate genomic prediction of agronomic traits is critical for modern breeding and agriculture. Deep learning has great potential to enhance prediction by modeling nonlinearity, but its applications remain limited by inconsistent performance across ... read more 

INTRODUCTION: Immunofixation electrophoresis (IFE) is the gold standard for identifying monoclonal proteins in plasma cell disorders, but its interpretation is complex, time-consuming, and prone to inter-observer variability. This study aimed to deve... read more 

Cybersecurity threats to medical imaging systems and workflows are no longer confined to information technology departments; they directly affect interventional radiology (IR) practice, patient safety, and procedural continuity. Two thirds of healthc... read more 

OBJECTIVE: AI-based technologies are increasingly integrated into dental diagnostics, showing promising performance in supporting radiographic interpretation and pathology detection. However, few studies have studied the evolution of these tools over... read more