Artificial Intelligence Medical Compendium

Despite growing clinical adoption of artificial intelligence in radiology, fewer than one in five commercially available models are cleared for paediatric use. Existing systems are trained predominantly on adult data and generalize poorly to neonates... read more 

Molecular Hessians, the second derivatives of the potential energy, are fundamental to many workflows in computational chemistry. Usually, accurate Hessians are computationally expensive to calculate and scale poorly with system size, whether compute... read more 

One-third of the world's 70 million people with epilepsy have seizures uncontrolled by medication, and implantable devices are a promising treatment. These devices can detect impending seizures, missed medication and impaired cognition, but, like mos... read more 

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Central nervous system (CNS) autoimmune diseases, including multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), autoimmune encephalitis (AE), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), remain dif... read more 

Large language models are increasingly explored as clinical decision-support tools, but the relationship between configurable reasoning effort and multimodal diagnostic performance remains unclear. This study evaluated the association between API-con... read more 

General-purpose multimodal artificial intelligence (AI) models can interpret radiographs through natural-language prompts, but their quantitative agreement and anatomical traceability in adolescent idiopathic scoliosis remain uncertain. We compared G... read more 

The rapid expansion of medical data, including radiological imaging, digital pathology, molecular profiling, electronic health records, and longitudinal clinical narratives, has created new opportunities for AI in healthcare, while also exposing the ... read more 

Deep learning models have been proposed for automated pressure injury staging, but reliability across external wound image datasets remains uncertain. This study assessed cross-dataset reliability across multiple architectures. After dataset curation... read more