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dc.contributor.advisorSaxena, Nitesh
dc.creatorShalini, FNU
dc.date.accessioned2023-10-12T14:49:54Z
dc.date.available2023-10-12T14:49:54Z
dc.date.created2023-08
dc.date.issued2023-08-07
dc.date.submittedAugust 2023
dc.identifier.urihttps://hdl.handle.net/1969.1/200038
dc.description.abstractEmerging technologies are revolutionizing healthcare by improving accessibility and enhancing patient-provider interactions. With advancements in medical research and computational resources, diverse healthcare technologies have played a critical role in combating pandemics like COVID-19, especially in situations with restricted access or unavailability of providers. The shift towards telemedicine and Precision Medicine offers new ways to access healthcare, but also raises significant privacy and security concerns. This dissertation focuses on the vulnerability of predatory research that compromise the integrity of research literature based Medical AI solutions, Mobile Healthcare apps, and Voice-based systems in healthcare. In the changing era of healthcare and social interactions, technological advancements have the potential to bring immense benefits and shape the future of medical research and practices. However, the practical adaptation of these practices is challenging, as users may fear potential violations of their privacy and security. Violations of sensitive mental and reproductive health data may create uncertainty and endanger women’s health in the changing legal landscape. Our work is especially crucial with medical practices that are increasingly reliant on technology to manage health and privacy and security concerns are growing more pressing. Our dissertation contributes to the field of emerging healthcare technologies by analyzing the potential threats and recommended defense in Medical AI solutions, Mobile Health Apps, and Voice-based Systems. Specifically, we identify the vulnerability of Medical AI solutions to predatory research, analyze privacy and security threats in Mobile Health Apps, and identify the vulnerabilities of Voice-based systems to break the speaker’s anonymity. Furthermore, our dissertation highlights the criticality of multi-faceted modern medicine practices that use a combination of healthcare technologies to improve patient outcomes. These technologies can help providers make informed decisions and empower patients to stay motivated and feel cared for. By promoting the development of secure and trustworthy healthcare technologies and practices, we aim to enhance patient-provider interactions and improve the overall quality and safety of healthcare delivery.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectPrivacy
dc.subjectSecurity
dc.subjectPredatory Research
dc.subjectTrustworthy Medical AI
dc.subjectMobile Health App
dc.subjectVoice Anonymity
dc.titlePrivacy and Security of Emerging Technologies in Changing Healthcare Paradigms
dc.typeThesis
thesis.degree.departmentComputer Science and Engineering
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas A&M University
thesis.degree.nameDoctor of Philosophy
thesis.degree.levelDoctoral
dc.contributor.committeeMemberHamilton, John
dc.contributor.committeeMemberChaspari, Theodora
dc.contributor.committeeMemberAnnapareddy, Narasimha
dc.type.materialtext
dc.date.updated2023-10-12T14:49:55Z
local.etdauthor.orcid0000-0002-1705-0587


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