A5038703195- Artificial Intelligence in Healthcare and Education
- Pregnancy and preeclampsia studies
- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Renal and Vascular Pathologies
- Clinical Reasoning and Diagnostic Skills
- Privacy-Preserving Technologies in Data
- Cardiac Health and Mental Health
- Prenatal Screening and Diagnostics
- Maternal and fetal healthcare
- COVID-19 diagnosis using AI
- Ultrasound and Hyperthermia Applications
- Artificial Intelligence in Healthcare
- Music Therapy and Health
- Photonic and Optical Devices
- Glioma Diagnosis and Treatment
- ECG Monitoring and Analysis
- Photoacoustic and Ultrasonic Imaging
- Optical Network Technologies
- Ethics in Clinical Research
- Ultrasound in Clinical Applications
- Non-Invasive Vital Sign Monitoring
- Perfectionism, Procrastination, Anxiety Studies
- Healthcare Systems and Public Health
University of British Columbia
2015-2025
Queen's University
2021-2023
We demonstrate that n-doped resistive heaters in silicon waveguides show photoconductive effects with high responsivities. These heaters, integrated into microring resonator (MRR)-based filters, were used to automatically tune and stabilize the filter's resonance wavelength input laser's wavelength. This is achieved without requiring dedicated defect implantations, additional material depositions, photodetectors, or optical power tap-outs. Automatic stabilization of first-order MRR...
Artificial intelligence (AI) is no longer a futuristic concept; it increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused physicians, there need to assess the perspectives of students across care disciplines inform future curriculum development.This study aims explore and identify gaps in knowledge that Canadian regarding AI, capture how different fields differ their present student-identified ways literacy may be incorporated curriculum.The...
Clinical artificial intelligence (AI) applications are rapidly developing but existing medical school curricula provide limited teaching covering this area. Here we describe an AI training curriculum developed and delivered to Canadian undergraduates recommendations for future training.
To develop, implement, and evaluate feedback for an artificial intelligence (AI) workshop radiology residents that has been designed as a condensed introduction of AI fundamentals suitable integration into existing residency curriculum.A 3-week was by faculty, residents, engineers. The integrated curricular academic half-days competency-based medical education training program. consisted live didactic lectures, literature case studies, programming examples consolidation. Learning objectives...
Prognostic assessment of local therapies for colorectal liver metastases (CLM) is essential guiding management in radiation oncology. Computed tomography (CT) contains texture information which may be predictive metastatic environments. To investigate the feasibility analyzing CT texture, we sought to build an automated model predict progression-free survival using radiomics and artificial intelligence (AI).Liver scans outcomes N = 97 CLM patients treated with radiotherapy were...
Placental assessment through routine obstetrical ultrasound is often limited to documenting its location and ruling out placenta previa. However, many complications originate from abnormal focal or global placental development. Technical difficulties in assessing the as well a lack of established objective criteria classify echotexture are barriers diagnosis pathology by imaging. As first step towards development computer aided tool, we developed fully automated method for segmentation using...
We experimentally demonstrate an automated polarization receiver that couples light from any state output a single-mode fiber into the fundamental quasi-TE mode of waveguide in integrated silicon photonic circuit.
Pregnancy complications such as pre-eclampsia (PE) and intrauterine growth restriction (IUGR) are associated with structural functional changes in the placenta. Different elastography techniques an ability to assess mechanical properties of tissue can identify monitor pathological state Currently available have been used promising results detect placenta abnormalities; however, limitations include inadequate measurement depth safety concerns from high negative pressure pulses. Previously, we...
Existing methods for measuring the ultrasonic attenuation coefficient estimate (ACE) fail to take into account effect of tissue heterogeneity. We propose a total variation (TV) regularization based method, where local will be modulated as function envelope signal-to-noise-ratio deviation, an indicator evaluate our approach using three physical phantoms with different configurations. also demonstrate application method placenta ex vivo. The proposed results in significant improvement ACE...
As the climate changes, severity of wildland fires is expected to worsen. Models that accurately capture fire propagation dynamics greatly help efforts for understanding, responding and mitigating damages caused by these fires. Machine learning techniques provide a potential approach developing such models. The objective this study evaluate feasibility using Convolutional Long Short-Term Memory (ConvLSTM) recurrent neural network model propagation. machine trained on simulated wildfire data...
The rapid development of artificial intelligence (AI) in medicine has resulted an increased number applications deployed clinical trials. AI tools have been developed with goals improving diagnostic accuracy, workflow efficiency through automation, and discovery novel features data. There is subsequent concern on the role replacing existing tasks traditionally entrusted to physicians. This implications for medical trainees who may make decisions based perception how disruptive be their...
Development of non-invasive and in utero placenta imaging techniques can potentially identify biomarkers placental health. Correlative using multiple multiscale modalities is particularly important to advance the understanding structure, function their relationship. The objective project SWAVE 2.0 was understand human structure thereby quantifiable measures health a multimodal correlative approach. In this paper, we present image acquisition protocol designed acquire align data from ex vivo...
Placenta-mediated diseases are associated with structural changes in the placenta. Quantitative Ultrasound (QUS) imaging measures acoustic properties of tissue, which correlated to underlying tissue structure. We aimed develop and validate a diagnostic prediction model using QUS measurements for pre-eclampsia (PE) small-for-gestational-age (SGA) fetuses/neonates.
The integration of artificial intelligence (AI) education into medical curricula is critical for preparing future healthcare professionals. This research employed the Delphi method to establish an expert-based AI curriculum Canadian undergraduate students. A panel 18 experts in health and across Canada participated three rounds surveys determine essential learning competencies. study identified key curricular components ethics, law, theory, application, communication, collaboration, quality...
<sec> <title>BACKGROUND</title> Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosis impacts underlying pathophysiology many cardiovascular diseases by altering structural integrity and impairing electrical conduction. Identifying cardiac is essential for prognosis management disease; however, current diagnostic methods face challenges due to invasiveness, cost, inaccessibility. Electrocardiograms (ECGs) are widely available cost-effective monitoring...
PurposeLength and width measurements of the kidneys aid in detection monitoring structural abnormalities organ disease. Manual measurement results intra- inter-rater variability, is complex time-consuming, fraught with error. We propose an automated approach based on machine learning for quantifying kidney dimensions from two-dimensional (2D) ultrasound images both native transplanted kidneys.ApproachAn nnU-net model was trained 514 to segment capsule standard longitudinal transverse views....
Introduction: Female patients are at elevated risk for adverse mental health outcomes following hospital admission ischemic heart disease. These psychosocial characteristics correlated with unacceptably higher rates of cardiovascular (CV) morbidity and mortality. Guidelines to address acute coronary syndrome (ACS) can only be developed the aid studies elucidating which subgroups female highest risk. Methods/Design: The Risk factors post-Infarction Depression Anxiety (FRIDA) Study is a...