Zobrazeno 1 - 10
of 1 036
pro vyhledávání: '"Patient privacy"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 649-654 (2024)
Federated learning is an increasingly common technique used within machine learning that allows multiple devices to collectively train a model without necessitating the centralization of data. This approach is highly valuable within medical tasks, wh
Externí odkaz:
https://doaj.org/article/87e080f3f3c642f7ab8908bc71f2c5ee
Autor:
Katharina Steeg, Evelyn Bohrer, Stefan Benjamin Schäfer, Viet Duc Vu, Jan Scherberich, Anton George Windfelder, Gabriele Anja Krombach
Publikováno v:
EClinicalMedicine, Vol 78, Iss , Pp 102930- (2024)
Summary: Background: Facial recognition software (FRS) has historically been perceived as lacking the capability to identify individuals from cross-sectional medical images. Utilising such data for identification purposes was considered infeasible du
Externí odkaz:
https://doaj.org/article/dd2802ab99b14aeb8066a684c32f574e
Autor:
Dheya Mustafa, Mousa Al-Kfairy
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/008b894b07d44f68b2deb66eb3cda0c2
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
IntroductionIn the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are unique digital assets on the blockchain, representing ownership of dig
Externí odkaz:
https://doaj.org/article/5dce941815d145ad85a9bc5b318cbb94
Autor:
Bahareh Farasati Far
Publikováno v:
Exploration of Targeted Anti-tumor Therapy, Vol 4, Iss 4, Pp 685-689 (2023)
Precision oncology is a rapidly evolving field that uses advanced technologies to deliver personalized cancer care based on a patient’s unique genetic and clinical profile. The use of artificial intelligence (AI) in precision oncology has shown gre
Externí odkaz:
https://doaj.org/article/d45739ca1c654ff09e4116b3c430cbb6
Autor:
Michael Diaz, Jasmine Tran
Publikováno v:
Dermatology Practical & Conceptual, Vol 14, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/886601d7262546ada672d33b1c0f5b13
Publikováno v:
IEEE Access, Vol 11, Pp 115816-115826 (2023)
Based on Hilbert Random Secure Distribution, a novel data-hiding method for embedding secret information about the patient in a cover image MRI sample has been proposed. Least significant bit (LSB) and most significant bit (MSB) techniques are applie
Externí odkaz:
https://doaj.org/article/912922202db444858a2c0965fdddfacf
Autor:
Faiqah Hafidzah Halim, Nor Aimuni Md Rashid, Nur Farahin Mohd Johari, Muhammad Amirul Hazim Abdul Rahman
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 6, Iss 4, Pp 890-896 (2022)
In Malaysia, private healthcare providers keep computerized records of vaccination data, including personal information, diagnostic results, and vaccine prescriptions. However, such sensitive information is commonly stored using a centralized storage
Externí odkaz:
https://doaj.org/article/9a2f86086e7842ae84880e15609c4ebb
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