Artificial Intelligence Medical Compendium

Diagnosis, positioned between disease prevention and treatment, is essential for head and neck cancer management. Delays in diagnosis contribute to disease upstaging, leading to more complex treatment with poorer survival and functional outcomes. Thi... read more 

Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL concentrations. Graphene field-effect transistors (GFETs) are promising for this application, but suffer from device-to-device variability and requir... read more 

PURPOSE: We developed a comprehensive artificial intelligence DL model (CorneAI) to classify cataracts and corneal diseases into 9 categories. In this study, we aimed to enhance CorneAI by developing a deep learning (DL) model to diagnose the followi... read more 

BACKGROUND: This review re-evaluates therapeutic drug monitoring (TDM) by comparing the current analytical and subsequent clinical interpretation capabilities of hospital or community medical laboratories with the emerging potential of point-of-care ... read more 

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PURPOSE: Small cell lung cancer (SCLC) is an aggressive disease with diverse phenotypes that reflect the heterogeneous expression of tumor-related genes. Recent studies have shown that neuroendocrine (NE) transcription factors may be used to classify... read more 

Papillary thyroid carcinoma (PTC) is the most prevalent type of thyroid cancer, with a significant proportion of patients being susceptible to lymph node metastasis (LNM). The presence of LNM has been shown to accelerate tumor progression. Existing d... read more 

BACKGROUND: Bee pollen is a bioactive substance valued for its nutritional and health-promoting properties. However, consistent quality control and classification are hampered by variability in its chemical and biological composition, which is largel... read more 

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This study examined potential predictors of financial well-being in older adults. Data were drawn from the Health and Retirement Study, focusing on psychosocial, demographic, and lifestyle variables. Random Forest analysis was performed to assess the... read more