Artificial Intelligence Medical Compendium

Electroencephalography-based brain-computer interfaces have revolutionized the integration of neural signals with technological systems, offering transformative solutions across neuroscience, biomedical engineering, and clinical practice. This review... read more 

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Hospital waste management (HWM) is critical to advancing environmental sustainability, particularly as Germany and the European Union (EU) pursue carbon neutrality by 2050. This review examines the potential of Industry 5.0 technologies to transform ... read more 

INTRODUCTION: Large language models (LLMs) offer a promising approach to infer personality traits unobtrusively from digital footprints. However, the reliability and validity of these inferences remain underexplored. METHOD: Gemini 1.5 Pro and GPT-4o... read more 

Breast cancer is a leading cause of women's mortality globally, with early diagnosis crucial for survival. This study addresses diagnostic challenges including imbalanced, noisy datasets and irrelevant features using Wisconsin Diagnostic Breast Cance... read more 

Large language models (LLMs), or models which generate human like responses to people's queries, are growing in popularity and may be an additional tool to access information related to sexual communication - including sexual consent and refusals. Ho... read more 

INTRODUCTION: Adverse drug reactions (ADRs), including those resulting from drug interactions, remain a leading cause of morbidity and mortality. Structured product labels (SPLs) serve as a primary source for drug safety information. Having machine-r... read more 

The early and precise diagnosis of stroke plays an important role in its treatment planning. Computed Tomography (CT) is utilised as a first diagnostic tool for quick diagnosis and to rule out haemorrhage. Diffusion Magnetic Resonance Imaging (MRI) p... read more 

Deep progressive learning reconstruction (DPR) is a novel deep learning-based algorithm for PET imaging, yet its impact on quantitative metrics and radiomic feature stability is not fully characterized. This preliminary study systematically evaluated... read more 

Soft tissue sarcomas (STS) are heterogeneous malignancies with high recurrence rates (33-39%) post-surgery, necessitating improved prognostic tools. This study proposes a fusion model integrating deep transfer learning and radiomics from MRI to pred... read more