Artificial Intelligence Medical Compendium

PURPOSE: Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low-field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make d... read more 

BACKGROUND: Recent advancements in artificial intelligence (AI) hold great promise in oncology, including prostate cancer care. Despite its promises, there is a lack of comprehensive synthesis and knowledge regarding the efficacy of the current AI-ba... read more 

The development of autonomous agents in bioprocess development is crucial for advancing biopharma innovation. Time and resources required to develop and transfer a process for clinical material generation can be significantly decreased. While robotic... read more 

BACKGROUND: The growing prevalence of metabolic syndrome (MS) is a major public health issue. The traditional Maya milpa diet (MayDiet) offers a promising alternative to the Mediterranean diet (MetDiet) due to its similar therapeutic benefits. This s... read more 

Flexible sensors play a crucial role in various emerging high-tech fields including electronic technology, information industry, and bioengineering. However, achieving excellent comprehensive performances through optimum structural designs remains a ... read more 

This editorial highlights the central role of radiographers in leading AI-driven radiographic image-quality assessment. It outlines how AI can enhance real-time feedback, support consistency, and strengthen safe, patient-centered imaging practice. read more 

This study examines how CEO personality traits influence IPO risk disclosure quality. We employ a novel multimodal deep learning approach to measure CEO personality traits using audio-visual data from IPO roadshow presentations. Our methodology integ... read more 

Landfill stability and environmental protection are critical issues in municipal solid waste (MSW) management, especially in tropical countries, where warm and humid conditions can accelerate leachate and gas production. This paper investigated a lan... read more 

OBJECTIVE: To explore the association between cancer information overload and attitudes toward cancer screening among internal medicine patients. AIMS: To identify predictors of screening attitudes using statistical and machine learning models. METHO... read more 

Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite advances in diagnostics, training, and rehabilitation, unexplained differences in injury risk and recov... read more