Early detection of eye diseases is vital for preventing vision loss. Existing ophthalmic artificial intelligence models focus on single modalities, overlooking multi-view information and struggling with rare diseases due to long-tail distributions. We propose…
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There are over 7000 rare diseases, some affecting 3500 or fewer patients in the United States. Due to clinicians’ limited experience with such diseases and the heterogeneity of clinical presentations, ~70% of individuals seeking…
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Human skin tone is influenced by genetic, environmental, and cultural factors and plays a key role in dermatology due to variation in disease presentation across skin tones. The widely used Fitzpatrick scale, based on…
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Traditional in-person neuropsychological tests remain inaccessible and not adapted to individuals in remote geographical locations and linguistically diverse populations. We aimed to make neuropsychological tests more accessible and adapted to diverse populations by leveraging…
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Understanding surgical data in real-time will lead to improved feedback, learning, and performance for surgeons. This is important as data-driven systems offer safer, more standardized surgery, and faster training times. Artificial intelligence shows great…
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Digital twins have been used in industries and is now gaining traction in healthcare, particularly in precision medicine. Discrete Event Simulation is a modelling methodology for simulating processes and workflows in healthcare. This paper…
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Processes to assure the safe, effective, and responsible deployment of artificial intelligence (AI) in safety-critical settings are urgently needed. Here we show a procedure to empirically evaluate the impacts of AI augmentation as a…
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Methodological standards of existing clinical AI research remain poorly characterized and may partially explain the implementation gap between model development and meaningful clinical translation. This systematic review aims to identify AI-based methods to predict…
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Prostate cancer (PCa) is one of the most common types of cancer, seriously affecting adult male health. Accurate and automated PCa segmentation is essential for radiologists to confirm the location of cancer, evaluate its…
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It is still challenging to diagnose biliary atresia (BA) in current clinical practice. The study aimed to develop a multimodal model incorporated with uncertainty estimation by integrating sonographic images and clinical information to help…
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