Artificial Intelligence Medical Compendium

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

Showing 22,891 to 22,900 of 216,842 articles

Relational-temporal dignity at the end of life: Ethical foundations for the DiRePal model in the algorithmic age.

Palliative & supportive care
OBJECTIVES: The increasing presence of artificial intelligence (AI), electronic patient-reported outcomes (ePROMs), and digital infrastructures in palliative care is transforming how clinical encounters are organized and how suffering is interpreted.... read more 

Risks and Harms of Conversational Artificial Intelligence (CAI) Chatbot Use Among US Youth.

Journal of adolescence
INTRODUCTION: Conversational AI (CAI) chatbots are widely used by adolescents for instruction, entertainment, companionship, and advice, but concerns persist that they may foster risky behaviors, spread harmful content, and elevate psychological risk... read more 

When ignorance induces reliance: The role of epistemic knowledge about generative AI in changing health-related decision-making.

Public understanding of science (Bristol, England)
Today's increasing and indiscriminate use of generative artificial intelligence to access science-related information is a serious cause for concern. Here, we investigated the role of knowledge about generative AI in individuals' engagement with AI-g... read more 

Ultrasound Microvascular Imaging Using Deep Knowledge Distillation.

Ultrasonic imaging
Ultrafast Doppler imaging provides critical insights into tissue perfusion but traditionally requires long acquisitions and computationally expensive filtering, such as singular value decomposition (SVD). In this work, we propose SONIC, a real-time, ... read more 

Derivation and external validation of a deep learning model to predict changes in coronary plaque burden.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
BACKGROUND: Predicting the progression/regression of coronary plaque burden is challenging. AIMS: We aimed to develop a deep learning model to forecast changes in percent atheroma volume (ΔPAV) using intravascular ultrasound (IVUS). METHODS: We analy... read more 

Artificial intelligence in the management of cardiac sarcoidosis.

Expert review of cardiovascular therapy
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Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

Expert review of cardiovascular therapy
INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pediatric hypertrophic cardiomyopathy (HCM). Despite major advances in genetic diagnostics, cardiac imaging, and risk stratification strategies, the preven... read more 

Detecting and Mitigating Bias for Inclusive and Trustworthy Clinical Research: A Scientific Statement From the American Heart Association.

Circulation. Genomic and precision medicine
Bias in clinical research affects not only the internal validity of studies but also the equitable distribution of health benefits derived from studies. Among the most impactful forms are selection bias, attrition bias, and algorithmic bias, each of ... read more 

Enabling Advanced Bioinspired Computing and Hardware Security in Sb2(S,Se)3 Memristors via Titanium Interfacial Engineering.

The journal of physical chemistry letters
Neuromorphic systems for artificial intelligence require capabilities for both sophisticated sensory perception and secure data processing. However, the performance and reliability of memristors are critically limited by the electrode/functional laye... read more 

The research we never questioned: What artificial intelligence is revealing in health professions education.

Medical teacher
Health professions' education (HPE) research has evolved within an academic ecosystem. This paper works to put forth that generative artificial intelligence (AI) and autonomous AI agents are exposing the underbelly of HPE. Two responses have emerged:... read more