Artificial Intelligence Medical Compendium

BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosis of Amyotrophic Lateral Sclerosis (ALS). METHODS: To predict ALS, a stacked model combining four ML algorithms-logistic Regression, Decision Tree, Ra... read more 

Muscle oxygenation critically depends on capillary number and distribution within a tissue. Despite the development of numerous morphometric indices to quantify these attributes, many lack sensitivity or validation against local oxygen tension ( P O ... read more 

Prostate cancer remains one of the most prevalent malignancies and a major cause of cancer‑related mortality among men worldwide. Despite widespread use of prostate‑specific antigen testing, current diagnostic approaches suffer from low specificity a... read more 

Alternative splicing (AS) is one of the principal mechanisms of post‑transcriptional regulation that confers transcriptomic plasticity and proteomic diversity in cancer, thereby enabling tumor adaptation to therapeutic pressure. However, two obstacle... read more 

PURPOSE: Stereotactic radiosurgery (SRS) is a standard treatment for brain metastases; however, it may lead to radiation necrosis (RN). RN can be virtually indistinguishable from tumor progression (TP), which can have significant clinical implication... read more 

BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed tomography angiography (CCTA) from 2015 to 2026, which revealed progressive noncalcified plaque. FI... read more 

Cone-beam computed tomography (CBCT) is a critical imaging modality in various medical fields, yet its repeated use poses radiation risks to patients. Low-dose CBCT image reconstruction aims to mitigate these risks while preserving image quality, whi... read more 

BACKGROUND: Accurate identification of benign and malignant bile duct dilatation (BDD) is needed to determine its management plan. Conventional imaging evaluation is subjective, whereas deep learning (DL) offers potential for automated objective asse... read more 

Prostate MRI has transformed lesion detection and risk stratification in prostate cancer, but its impact is constrained by the high cost of the exam, variability in interpretation, and limited scalability. False negatives, false positives, and modera... read more 

The treatment of depression involves numerous barriers, both before and after individuals seek professional care. Online health communities (OHCs) have emerged as valuable platforms for people coping with depression. We collected 1,585,429 posts from... read more