Artificial Intelligence Medical Compendium

RATIONALE AND OBJECTIVES: Androgen deprivation therapy (ADT) efficacy exhibits significant interindividual heterogeneity in advanced prostate cancer (PCa). This study aim to develop and validate a machine learning model based on multiparametric MRI (... read more 

PURPOSE: In online cone beam computed tomography (CBCT)-based adaptive radiation therapy (ART), nodal recontouring ensures sufficient nodal coverage by accounting for anatomic change but is uniquely challenging due to small target size and time press... read more 

BACKGROUND & AIMS: Microvascular invasion (MVI) is a key determinant of recurrence and poor outcomes in hepatocellular carcinoma (HCC), yet accurate preoperative detection remains challenging. A deep-learning model integrating multiphase MRI and clin... read more 

OBJECTIVE: Existing biological age (BA) models often oversimplify aging's complexity, offering single-dimensional metrics. However, these fail to capture the critical heterogeneity of aging across organs.. This study aims to develop a machine learnin... read more 

The user cold-start problem is a major challenge in item recommendation. Existing methods address this issue by utilizing additional user and item features or relying mainly on meta-learning (Few-shot learning). However, these approaches often requir... read more 

BACKGROUND: Auditory verbal hallucinations (AVHs) are a core symptom of psychosis but their prevalence in the general population ranges from 5-28 %. METHODS: This study aimed to identify the most strongly associated predictors of AVH from 42 sociodem... read more 

BACKGROUND: Artificial intelligence (AI) is increasingly applied in healthcare to support decision-making, personalize treatment, and improve outcomes. In spine care, AI has been used for both operative and nonoperative interventions, including surgi... read more 

Anticancer drug susceptibility tests play an essential role in areas such as drug development, pharmacokinetic research, and precision oncology. Across these tests, the methods that are traditionally used for gauging the drug effect-by determining th... read more 

Osteoporotic vertebral compression fracture (OVCF) patients face high 30-day readmission risks after vertebral augmentation procedures (VAPs). Using electronic health records (EHRs) of 3,947 OVCF patients who underwent VAPs (2019-2024), we developed ... read more 

Among various modalities, multiphoton fluorescence imaging (MPFI) stands out for its exceptionally high spatial resolution in deep tissue imaging. Unfortunately, current clinically approved fluorescent probes are not engineered for MPFI, hindering th... read more