Artificial Intelligence Medical Compendium

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Deep learning models have achieved state-of-the-art performance at predicting diverse genomic modalities, yet their promise for biological discovery lies in how they are used after demonstrating their predictive performance. Here we describe the func... read more 

OBJECTIVES: Methotrexate (MTX) is the first-line treatment for rheumatoid arthritis (RA), yet inadequate response is reported in 30-40% of patients. Predicting MTX response early could enable more personalised and effective treatment. This study aime... read more 

Physical entropy sources are essential for hardware security and probabilistic information processing, yet most memristor-based random-number generators rely on stochastic switching outputs without identifying a designable materials-level parameter t... read more 

OBJECTIVES: Large language models (LLMs) can automate the conversion of radiologic free text into structured reports, but multidisciplinary reader preferences for the resulting output remain insufficiently studied. This prospective, two-phase, fixed-... read more 

Accurate, label-free analysis of complex biological mixtures is limited by poor multiplexing scalability and inconsistent responses across sensor samples. We introduce a transformative sensing platform that integrates large-scale photonic multiplexin... read more 

Colorimetric sensors for instant and on-the-spot identification of organic liquids have been actively developed across diverse fields such as chemical hazard inspection, manufacturing process monitoring, and beverage safety. Multi-target sensing scen... read more 

PURPOSE: To develop a vessel wall imaging (VWI)-dedicated image restoration model enabling high-resolution whole-brain VWI in under 6 min. METHODS: A transformer-based 2.5D model was trained in a supervised manner to enhance the image quality of CAIP... read more 

Population-based screening in Australia for breast cancer using mammography has delivered key outcomes in reducing deaths, but such programs are usually not present in Vietnam. Breast cancer is common in both countries, with Vietnamese women having h... read more 

BACKGROUND: The quality of Australia's coded clinical data is essential for its reliability in myriad applications throughout the healthcare system, signalling the need for clinical coding auditing. Internal clinical coding auditors audit hospitals' ... read more