Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair vision and social function. The subtle clinical signs of blepharospasm make early and accurate diagnosis difficult, delaying timely intervention. In this study,…
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This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…
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Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that…
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For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018…
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John Squeo, SVP & Market Head, Healthcare Providers at CitiusTech
The foundation of the healthcare systems today can be traced to Florence Nightingale’s example, emphasizing a nursing approach to patient treatment in the mid-19th century,…
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Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies using 21,934 liver ultrasound images from 11,960 patients…
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Biobanks are a rich source of data for genome-wide association studies (GWAS). They store clinical data from electronic health records, with data domains such as laboratory measurements, conditions, and self-reported diagnoses. Traditionally, biobank GWAS…
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Digital technologies improve health outcomes, access to education and health care. However, their application in the context of climate change is limited. This scoping review aimed to identify the use of digital technologies for…
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The evolution of surgical techniques aims to augment surgeons’ capabilities through digital guidance and robotization for higher precision and consistency. Currently, surgeries heavily rely on surgeon’s experience and visual judgment, causing operation variations. Artificial…
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In this study, we review the application of digital technologies for health in China, examining the structure of its digital health governance. China’s digital health governance is of political commitment, cross-sectoral collaboration, and a…
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