Artificial Intelligence Medical Compendium

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) index and the incidence of depression. However, there is a notable lack of research addressing the relationship between the TyG index and depression in... read more 

BACKGROUND: Depression significantly impacts older adults, making it valuable to use machine learning to predict their future depressive status and assess whether currently depressed older adults may experience remission in the future. METHODS: This ... read more 

BACKGROUND: The prevalence of depression among older adults places a considerable strain on healthcare systems due to a shortage of psychiatrists for professional evaluations. This study reports a machine learning (ML) model to assist in screening fo... read more 

Depression is a major global public health concern, with physical inactivity recognized as a key modifiable risk factor. However, tools for predicting depression risk among physically inactive adults are limited. This study aimed to develop and valid... read more 

Detecting ovarian structures in ultrasound images is essential in gynecological and reproductive medicine. An automated detection system can serve as a valuable tool for physicians and assist in complex ultrasound interpretations. This study presents... read more 

Temporomandibular disorders (TMDs) encompass a heterogeneous group of musculoskeletal conditions involving the temporomandibular joint (TMJ), masticatory muscles, and associated structures. Diagnosis remains challenging due to overlapping symptoms, m... read more 

PURPOSE: Early recurrence (ER) of intrahepatic cholangiocarcinoma (ICC) after curative hepatectomy correlates with dismal prognosis. We hypothesized that body composition radiomics reflecting systemic metabolic-immunologic status could enhance ER pre... read more 

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BACKGROUND AND OBJECTIVE: Multimodal artificial intelligence (AI) algorithms have been validated to predict prostate cancer (PCa) metastasis using combined histopathology and clinical-pathologic parameters in clinical trial cohorts. Here, we used pur... read more 

This study evaluated three timing strategies for delivering AI assistance in pathological slide diagnosis - pre-diagnosis (triage), during diagnosis (concurrent), and post-diagnosis (secondary) - and assessed users' perceptions of AI assistance. All ... read more