Artificial Intelligence Medical Compendium

Existing research on misinformation often focuses on messages that are completely false. For greater external validity, our experiment examines reactions to messages that contain both false and accurate information. Using a framework of uncertainty a... read more 

Meeting the projected 70% rise in agricultural output by 2050 to sustain a global population of 9.6 billion poses a formidable challenge amid intensifying biotic and abiotic stresses. Traditional breeding methods, although foundational, are limited i... read more 

PURPOSE: To assess machine learning (ML) classifiers trained on harmonised multicentre ¹²³I-mIBG planar scintigraphy for differentiating Parkinson's disease (PD) from non-PD parkinsonian syndromes and to determine whether early imaging alone may ensu... read more 

BACKGROUND: Research indicates that over 12% of patients undergoing coronary artery bypass grafting and more than 14% of patients undergoing surgical aortic valve replacement experience rehospitalization within 30 days of discharge. Many of these re-... read more 

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory impairment, and impaired daily functioning. As its pathogenesis remains incompletely understood, integrated multi-omics analysis has becom... read more 

Despite advances in highway-rail grade crossing (HRGC) safety, including widespread use of active control devices, crashes at these intersections still lead to severe outcomes. Conventional crash prediction models often fail to capture severity-level... read more 

Despite notable advances in deep learning, accurately segmenting lung lesions in computed tomography remains a significant challenge due to the scarcity of annotated data and the high diversity in lesion appearance. To address these issues, seeded im... read more 

Large Language Models (LLMs) hold significant promise for electrocardiogram (ECG) analysis, yet challenges remain regarding transferability, time-scale information learning, and interpretability. Current methods suffer from model-specific ECG encoder... read more 

Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of various heart pathologies. Although manifold methods exist that offer high-quality segmentation of coronary arteries... read more 

Oncogenic RAS mutations, which are common in human tumors and occur in about 30 % of cancer cases, present significant challenges to effective cancer treatment. Among the KRAS family, the KRAS-G12D mutation is a promising target for treating differen... read more