Artificial Intelligence Medical Compendium

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

Showing 16,771 to 16,780 of 213,633 articles

Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study.

JMIR mental health
BACKGROUND: Artificial intelligence (AI)-based conversational tools are rapidly expanding within mental health care as a means of increasing access and scalability. At the same time, these systems introduce distinct safety risks arising from both use... read more 

Evaluation of a deep learning model applied to chest X-rays of patients with suspected pneumonia presenting to the emergency department designed to predict admission risk: a retrospective training and prospective non-intervention validation.

BMJ open
OBJECTIVES: To develop, train and test a deep learning model Image-based PROgnostication applied to Chest X Rays (IPRO-X) tool that predicts the inpatient (IP) admission risk in patients with suspected pneumonia presenting to the emergency department... read more 

Randomised Controlled Multicentre Trial to Investigate the Effectiveness of a Mobile Artificial Intelligence Solution for Diabetes Adapted Care: The MELISSA Trial Protocol.

Diabetes, obesity & metabolism
AIMS: Achieving optimal glycaemic control remains a burden for many people with diabetes on intensive insulin treatment. The MELISSA trial aims to clinically validate the artificial intelligence (AI)-based MELISSA system to support people with Type 1... read more 

Social responsibility and commitment in the context of artificial intelligence in healthcare.

Medicina clinica
Artificial intelligence in healthcare represents a conceptual and cultural revolution. AI is transforming evidence-based medicine into data-driven medicine, enabling personalized and real-time clinical decisions. However, this progress requires prude... read more 

The association of early life experiences with prenatal depression: A machine learning-based predictive model.

Child abuse & neglect
BACKGROUND: Prenatal depression is highly prevalent and associated with early-life adversities like adverse childhood experiences (ACEs) and school bullying. Machine learning (ML) can effectively capture complex, non-linear predictive patterns for de... read more 

[Vasomics: an emerging omics discipline for deciphering vascular health and disease].

Zhonghua yi xue za zhi
The vascular system serves as the central architecture of the human circulatory network, whose structural and functional integrity is vital for maintaining homeostasis and is closely associated with the development and progression of major diseases, ... read more 

Tensor language model enables generative scheduling for efficient tensor compilation.

Scientific reports
The high rate of increase in the deep learning tasks as well as heterogeneous computing systems necessitates compilers that achieve low compile time and high performance. The current state of the art in the use of tensor compilers is based on exhaust... read more 

Multi-scale hybrid composites of erythritol/diatomite/GNP for enhanced thermal energy storage: experimental and machine learning optimization.

Scientific reports
Thermal energy storage (TES) using phase change materials (PCMs) is a critical technology for balancing energy supply and demand. Among sugar alcohols, erythritol stands out due to its high latent heat; however, its practical application is hindered ... read more 

The impact of trust in AI on digital innovation examining the moderation of intellectual capital and task characteristics.

Scientific reports
As artificial intelligence (AI) increasingly permeates firms’ digital innovation, trust in AI has emerged as a core determinant of the effectiveness of human-AI collaborative innovation. However, prior research has not reached a consensus on the unde... read more 

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

Scientific reports
With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to share their opinions. Twitter became the most popular social platform during the COVID-19 pandemic to co... read more