Artificial Intelligence Medical Compendium

BACKGROUND: Large language models (LLMs) are increasingly used to quantify psychological constructs from natural language, yet their outputs are typically evaluated only as predictions of an external label. When that label is itself imperfect, optimi... read more 

BACKGROUND: Social media offers valuable information for public health surveillance, but detecting valid symptom expressions in noisy and informal text remains challenging. Fine-tuned language models can achieve strong test accuracy while relying on ... read more 

BACKGROUND: Artificial intelligence (AI)-driven lifestyle interventions are increasingly used for reducing diabetes risk. However, whether they produce clinical benefit beyond standard Diabetes Prevention Programs (DPPs) and whether effects vary by A... read more 

Microbially induced calcium carbonate precipitation (MICP) in microfluidic systems produces spatially and temporally heterogeneous precipitates whose polymorph composition governs material outcomes but is difficult to monitor non-destructively in sit... read more 

Habitat suitability assessment and conservation gap identification are critical for endangered species conservation. Using Przewalski's gazelle (Procapra przewalskii), an endangered ungulate endemic to China, we assessed habitat suitability, key envi... read more 

The rise of generative artificial intelligence (GAI) presents new challenges to academic integrity, enabling students to engage in academic misconduct with reduced effort and risk of detection. While previous research has examined personality predict... read more 

BACKGROUND: Gastrodin is a natural compound with anti-inflammatory, antioxidant, and antitumor activities; however, its therapeutic role and molecular mechanisms in colorectal cancer (CRC) remain unclear. In this study, we explored the anti-CRC mecha... read more 

Preoperative grading of pancreatic neuroendocrine neoplasms (PNENs) is crucial for personalized management. This study aimed to develop and validate an interpretable machine-learning framework based on CT imaging to predict PNENs pathological grades.... read more 

BACKGROUND: Lung cancer is widely prevalent worldwide at present, especially in the elderly population aged over 65-years. It is essential to timely understand epidemiological trends of elderly lung cancer and project the future incidence in global a... read more 

OBJECTIVE: Thyroid Carcinoma (THCA) is a common endocrine malignancy, and Lymph Node Metastasis (LNM) is a critical determinant of poor prognosis. This study aimed to identify LNM-related biomarkers and establish a prognostic model for THCA patients ... read more