Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Clinical Deployment"”.
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The Safe and Effective Clinical Deployment of Artificial Intelligence to ols
… that requires an interdisciplinary team of clinical staff and expensive equipment to be delivered safely. Cancer centers in Low- and Middle-Income Countries (LMIC) have an especially difficult time meeting the demands of radiation therapy as the complexity of treatment techniques increase, …
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Towards a Reliable Deep Learning Framework for Prostate Cancer Diagnosis using Ultrasound
… The purpose of this work is to develop a clinically applicable framework for DL-based detection of PCa from ultrasound that is robust to noise and uncertainty inherent to ultrasound images and their associated gold standard pathology labels. We begin by conducting a comprehensive …
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Development of a novel combination radio- chemotherapy for glioblastoma multiforme
… for glioblastoma has been designated as an unmet clinical need, meaning that new and more efficacious treatment options are needed. Dimethyl fumarate is a clinically available immunomodulatory drug, currently used to treat multiple sclerosis.;One of the targets of dimethyl fumarate is glutathione, …
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Performance and energy efficiency of low irradiance antimicrobial violet-blue light for environmental decontamination applications
… under exposure conditions emulating realistic clinical deployment – namely, exposure to a range of possible illuminating irradiances; desiccated on clinical surfaces; associated with biological substrates; and presented as biofilms – with results indicating significant inactivation in all …
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Systematic Development of Healthcare AI: From Data Curation, Algorithm Optimization, Benchmark Design and Clinical Applications
… algorithm optimization, benchmark design, and clinical applications. The primary contribution of this thesis focuses on establishing a comprehensive pipeline for healthcare large language models (LLMs), spanning from data curation to clinical deployment. At the data level, a rule-based …
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Domain and User-Centered Machine Learning for Medical Image Analysis
… for radiologists. Consequently, there is a high clinical need for the automation of cognitively challenging tasks, such as analyzing and interpreting medical images, to lighten the burden on radiologists and avoid a further increase in healthcare expenditure. Machine learning (ML), including deep …
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Causal Inference and Evidence-Grounded Language Models for Trustworthy Personalized Clinical Decision Support
Clinical decision support systems (CDSS) are evolving from passive predictive tools into active collaborators in clinical reasoning. However, most machine learning approaches remain limited to risk prediction, lacking the causal reasoning, patient-specific personalization, and evidence-verifiable …
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Conception and Preliminary Evaluation of the Quigley-Fenner Concussion Assessment
… task susceptible to ceiling effects that limit clinical utility. These findings, combined with evidence of poor usability, motivated the development of a novel, no-cost CNT: the Quigley-Fenner Concussion Assessment (QFCA). The QFCA is a six-task computerized battery modelled on validated …
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Epigenetic dysregulation of novel candidate genes in melanoma
… vemurafenib and ipilimumab confer significant clinical benefit, accumulating evidence suggests that they are less effective when tumour load is high and patient performance status poor, as is often the case in advanced disease. New strategies for the early detection of sub-clinical relapsed …
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Evaluation and Clinical Implementation of a Dual-Energy CT Stopping-Power Ratio Mapping Technique for Proton-Therapy Treatment Planning
… range is correctly aligned to the edge of the clinical target volume (CTV). However, its clinical potential is dependent on the accurate localization of the Bragg-peak position from predicted stopping-power ratio maps. The method that is most commonly used in today’s clinical practice for …
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Improved Visualization and Quantification for Hyperpolarized 129Xe MRI
… (HP) 129Xe magnetic resonance imaging (MRI) into clinical research has provided a robust and non-invasive 3D imaging technique, capable of both high-resolution imaging of pulmonary ventilation and gas exchange. Notably, gas exchange imaging is enabled by the solubility and unique frequency shifts …