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A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study.

open access: yesJMIR Hum Factors
Philpot LM   +8 more
europepmc   +1 more source

DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
1) Inflammation and oral polymorphonuclear neutrophil (oPMN) Migration: Dental plaque accumulation leads to inflammation, prompting white blood cells (WBCs), particularly oPMNs, to migrate from blood vessels through the gingival epithelium into the oral cavity.
Fatemeh Soheili   +9 more
wiley   +1 more source

Tumor Auxiliary Prediction Strategy Based on Multiscale Feature Fusion in Medical Decision‐Making System

open access: yesAdvanced Intelligent Systems, EarlyView.
GA: MCFFS method architecture. Pathological images are processed by the multi‐level feature information fusion (MLFF) method and the multi‐scale feature map fusion strategy to achieve the recognition result of cell nuclei. The MLFF module contains convolution blocks, spatial self‐attention, and atrous spatial pyramid pooling.
Yingqing Lu   +3 more
wiley   +1 more source

Privacy in Internet of Things

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon   +20 more
wiley   +1 more source

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