AI Medical Compendium

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

JMIR mental health May 4, 2026

BACKGROUND: Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophancy, and AI-associated delusions. Less attention has been paid to a prior question: whether the human-... read more

Deep Learning-Assisted Room-Temperature Phosphorescence Sensor Array Based on Host-Guest Doping for Visual Discrimination of Triazole Fungicides.

Analytical chemistry May 4, 2026

Detection and discrimination of structurally similar triazole fungicide (TF) subtypes remain highly desirable yet challenging. This work presents a straightforward room-temperature phosphorescence (RTP) sensor array for the visual discrimination of T... read more

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

Palliative & supportive care May 4, 2026

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 May 4, 2026

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) May 4, 2026

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 May 4, 2026

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 May 4, 2026

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 May 4, 2026

Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

Expert review of cardiovascular therapy May 4, 2026

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 May 4, 2026

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

Artificial Intelligence Medical Compendium