Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,181 to 4,190 of 203,626 articles

Falls in Assisted Living Facilities: Can Artificial Intelligence Improve Documentation and Reduce Injury?

Journal of gerontological nursing
PURPOSE: To evaluate whether an artificial intelligence (AI)-assisted surveillance device, AUGi, improves documentation of falls and injury rates in assisted living facilities (ALFs). METHOD: The current study represents a secondary analysis of exist... read more 

[Diagnosis and treatment for congenital ossicular chain malformations: current status, challenges, and future prospects].

Zhonghua yi xue za zhi
Congenital ossicular chain malformation constitutes a pivotal etiological factor in conductive hearing loss. Despite its relatively low clinical incidence, the diagnosis and management of this condition persist as a formidable challenge in contempora... read more 

Long-term exposure to wildfire smoke particulate matter and incident stroke: a US nationwide study.

European heart journal
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high fine particulate matter (PM2.5) concentrations. While short-term exposure has been linked to adverse cardiovascular outcomes, long-term effects remai... read more 

Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge-practice paradox, and the role of digital determinants of health.

Medical education online
BACKGROUND: We assessed AI knowledge, attitudes, and use among medical and dental students in Pakistan, a lower-middle-income country (LMIC), and identified predictors of low AI use within Digital Determinants of Health (DDoH) and Professional Identi... read more 

Application of delta radiomics based on cone-beam computed tomography in predicting radiotherapy efficacy for nasopharyngeal carcinoma.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: To investigate the value of cone-beam computed tomography (CBCT)-based delta radiomics for predicting short-term radiotherapy (RT) response in nasopharyngeal carcinoma (NPC). METHODS: A total of 132 pathologically confirmed NPC patients rece... read more 

Artificial Intelligence-Augmented Mixture Toxicology: Reframing Unresolved Risk at Camp Lejeune.

Toxicological sciences : an official journal of the Society of Toxicology
Persistent uncertainty regarding health risks associated with contaminated drinking water at Camp Lejeune reflects a broader limitation in toxicology: The difficulty of evaluating complex chemical mixtures in genetically heterogeneous populations. Hi... read more 

Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.

International journal of obesity (2005)
Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, such as cardio-kidney-metabolic (CKM) issues linked to type 2 diabetes and obesity. It creates new opportunities to shift from reactive to proactive, da... read more 

Conditional survival patterns and individualized prognostic prediction in malignant peritoneal mesothelioma.

Scientific reports
Malignant peritoneal mesothelioma (MPM) is a rare, aggressive cancer with limited treatment options and extremely poor survival outcomes. Due to the disease's low incidence, large-scale cohort studies to clarify survival outcomes and the impact of tr... read more