Publications by authors named "H Fai Poon"

Importance: Domiciliary noninvasive ventilation (NIV) is a standard treatment for improving health outcomes among patients with chronic hypercapnic respiratory failure (CHRF). However, poor adherence substantially limits its therapeutic effectiveness.

Objective: To determine the effect of an information-motivation-behavioral (IMB) skills-based intervention (IMB-NIV program) on NIV adherence, patient-reported health outcomes, and health service use among patients with CHRF.

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Article Synopsis
  • Biomedical image analysis is crucial for biomedical research, and traditional methods treat tasks like segmentation, detection, and recognition separately.
  • BiomedParse is introduced as a foundation model that can handle these tasks simultaneously across nine imaging modalities, enhancing accuracy and enabling new applications like object segmentation based on textual descriptions.
  • The model was trained on a vast dataset of over 6 million image-text pairs, demonstrating superior performance in image segmentation, especially for irregularly shaped objects, making it a comprehensive tool for biomedical image analysis.
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Purpose: Precision therapies and immunotherapies have revolutionized cancer care, with novel genomic biomarker-associated therapies being introduced into clinical practice rapidly, resulting in notable gains in patient survival. Despite this, there is significant variability in the utilization of tumor molecular profiling that spans the timing of test ordering, comprehensiveness of gene panels, and clinical decision support through therapy and trial recommendations.

Methods: To standardize testing, we designed a pathologist-directed test ordering system at the time of diagnosis using a 523-gene DNA/RNA hybrid comprehensive genomic profiling (CGP) panel and extensive clinical decision support tools.

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Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise tens of thousands of image tiles. Prior models have often resorted to subsampling a small portion of tiles for each slide, thus missing the important slide-level context. Here we present Prov-GigaPath, a whole-slide pathology foundation model pretrained on 1.

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Background And Purpose: TomoEDGE is an advanced technology for TomoTherapy treatment delivery by introducing a sliding-window dynamic jaw motion. The front and back jaws move independently at the start and end of a target volume along the longitudinal couch direction to reduce the undesired dose to the normal tissues. The accuracy of field width is essential to treatment delivery in this regard.

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