Artificial Intelligence Medical Compendium

PURPOSE: The volume of in vivo human brains is determined with various MRI measurement tools that have not been assessed against a gold standard. The purpose of this study was to validate the MRI brain volumes by scanning ex vivo, in situ specimens, ... read more 

CONTEXT: Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health condition. While several studies have explored ChatGPT's performance in spinal cord injury (SCI)-related... read more 

Preclinical evidence points to disturbances in neural networks in psychosis involving interrelations between dopaminergic-, GABAergic- and glutamatergic neurotransmitter systems. In support, we have previously shown that aberrant interrelations betwe... read more 

Shoulder pain is a common musculoskeletal complaint requiring accurate imaging for diagnosis and management. Ultrasound is favored for its accessibility, dynamic imaging, and high-resolution soft tissue visualization. However, its operator dependency... read more 

ETHNOPHARMACOLOGICAL RELEVANCE: Sepsis is a life-threatening condition resulting from an uncontrolled immune response to infection, leading to organ dysfunction and severe complications. Bu Zhong Yi Qi Tang (BZYQT), a traditional Chinese medicinal fo... read more 

Predictive analytics based on machine learning (ML) and artificial intelligence is a powerful tool enabling precision psychiatry and providing insights into brain-behavior relationships. However, given the mixed results observed in the field so far, ... read more 

OBJECTIVE: Guideline-based recommendations for posthemostasis resuscitation in trauma patients remain limited. This study aimed to define an interpretable Markov Decision Process (MDP) to model intensive care unit (ICU) trauma resuscitation and evalu... read more 

BACKGROUND AND AIM: Cardiovascular-kidney-metabolic syndrome (CKM) embodies the intricate interaction among metabolic, kidney, and cardiovascular dysfunctions. Insulin resistance (IR) is frequently observed in patients with CKM. The metabolic score f... read more 

The principle of (respect for) patient autonomy has traditionally emphasized independence in medical decision-making, reflecting a broader commitment to epistemic individualism. However, recent philosophical work has challenged this view, suggesting ... read more 

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally. Although artificial intelligence (AI)-based screening tools like IDx-DR (classification) and Thirona RetCAD (regression) have shown high sensitivity ... read more