Artificial Intelligence Medical Compendium

BACKGROUND: Hypertension is a major contributor to cardiovascular morbidity and mortality. Its heterogeneity complicates risk stratification. Unsupervised machine learning can uncover risk profiles and refine preventative strategies. This study appli... read more 

INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, optimizing treatment plans, and improving patient outcomes through data analysis and predictive modeling. Within the field of reproductive endocrinolog... read more 

BACKGROUND: Lymph node metastasis is important for the management and surgical procedures of patients with colorectal cancer. Preoperative identification of D3 metastasis could help evaluate the necessity of D3 lymphadenectomy. No adequate noninvasiv... read more 

Given the well-established structural and functional changes in the aging brain, it is widely assumed that cognitive aging is primarily driven by robust group-level differences between young and older adults. However, our individual-level EEG functio... read more 

Adeno-associated virus (AAV) vectors are excellent gene-delivery carriers in gene therapy; however, improperly packaged capsids produced during manufacturing can reduce potency and raise safety concerns. We introduce a machine-learning-assisted, low-... read more 

This study examines the kinematic characteristics of mouse movements as a means to assess the truthfulness of reported autobiographical memories. Ninety participants answered double-choice questions about an autobiographical event using a computer mo... read more 

Artificial intelligence (AI) has become increasingly integrated into dental diagnostics, imaging and treatment planning. However, despite this growing adoption, adherence to standardised reporting frameworks remains inconsistent. Insufficient use of ... read more 

This review summarizes lipidomics as a key approach to dissect the multi-dimensional regulatory mechanisms of acupuncture, and reveals the role of lipid networks serve as critical 'molecular transducers' in the conversion of mechanical stimulation to... read more 

BACKGROUND: We aimed to systematically review applications of artificial intelligence (AI) technologies for ambulatory surgical patients. METHODS: We systematically searched PubMed, Scopus, Web of Science, and EBSCOhost (2015-2025). Studies were incl... read more 

BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artificial intelligence (AI), autonomous robotics, digital twins, hyper-personalization, and predictive analytics to create adaptive, precision-driven syste... read more