Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 207,819 articles

An empirical study of defect clustering in deep neural networks and its implications for testing.

Scientific reports
DNN decision logic is vulnerable to adversarial attacks, making robustness testing essential for safety-critical intelligent systems. Existing coverage-guided testing remains limited by the weak correlation between neuron coverage and defect discover... read more 

Efficacy of historical context and exogenous features on deep learning for cooling load forecasting in chilled water plants.

Scientific reports
Accurate day-ahead cooling load forecasting is a time series forecasting problem that is essential for optimizing the scheduling and energy efficiency of chilled water plants (CWPs). While previous studies have explored different forecasting models a... read more 

AI agency drives college students' entrepreneurial thinking through human sense of agency in human and ai symbiosis.

Scientific reports
As artificial intelligence (AI) increasingly penetrates education and entrepreneurial practice, cultivating students' entrepreneurial thinking in a "human-AI symbiotic" environment has become a crucial issue in entrepreneurship education. Based on sy... read more 

A fuzzy multi-criteria decision-making framework for the comparative analysis of human and AI influencers.

Scientific reports
The rise of artificial intelligence (AI) has led to a significant increase in the number of influencers in this field. This underlines the importance of understanding their influence and distinguishing them from human influencers. The existing litera... read more 

A fuzzy multi-criteria decision-making framework for the comparative analysis of human and AI influencers.

Scientific reports
The rise of artificial intelligence (AI) has led to a significant increase in the number of influencers in this field. This underlines the importance of understanding their influence and distinguishing them from human influencers. The existing litera... read more 

User profiles of young breast cancer survivors on Chinese social media: machine learning-based text mining analysis study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: Social media is vital for improving healthcare access, especially among disadvantaged groups. During the COVID-19 pandemic, young breast cancer survivors (YBCSs) in China increasingly relied on social media for health information, shaping th... read more 

Artificial intelligence and chatbots in general surgery: a survey among surgeons in Germany, Austria and Switzerland.

Surgical endoscopy
BACKGROUND: The integration of artificial intelligence (AI) and large language models (LLMs) into surgical practice is increasingly being explored, but real-world usage patterns and barriers remain insufficiently characterized. This multinational sur... read more 

Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.

Surgical endoscopy
BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverages the tacit knowledge of experienced surgeons to visualize anatomical landmarks, including the pancreas and dimpling lines (DLs), to help prevent panc... read more 

Impact of feature engineering on predicting non-contact football injuries.

Scientific reports
Non-contact injuries in professional football impose significant performance and economic burdens, yet the influence of workload feature representation on injury risk modelling remains insufficiently characterised. Traditional monitoring approaches, ... read more