Results 251 to 260 of about 693,110 (315)

Privacy-Aware Synthetic Tabular Data Generation for Healthcare: Application to Sepsis Detection. [PDF]

Bioengineering (Basel)
Macias-Fassio E, Morales A, Pruenza C, Fierrez J, Espósito C.   +4 more
europepmc   +1 more source

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

Advanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano, Matias L. Picchio, Daniele Mantione, David Mecerreyes, George G. Malliaras   +4 more
wiley   +1 more source

Aim high, stay private: differentially private synthetic data enables public release of behavioral health information with high utility. [PDF]

JAMIA Open
Ghasemizade M, Lovato J, Danforth C, Dodds PS, Bloomfield LSP, Price M, Near J.   +6 more
europepmc   +1 more source

Privacy, Security & Governance Frameworks for AI-Powered Wearable Internet of Health Things in Elderly Care: A Comprehensive Review. [PDF]

Risk Manag Healthc Policy
Dharmansyah D, Rahayuwati L, Pramukti I, Mutyara K.   +3 more
europepmc   +1 more source

A federated multimodal deep learning framework for brain tumor classification using MRI. [PDF]

Front Artif Intell
Lakshmi Vasanthi K, Sree Darshne J, Venkatasubbu P, Ramasubramanian P.   +3 more
europepmc   +1 more source

Safeguarding patient privacy in eHealth systems: Bridging theory and practice through a scoping review and healthcare survey. [PDF]

PLOS Digit Health
Winter M, Kraft R, Belas C, Reichert M, Ertl M, Pryss R.   +5 more
europepmc   +1 more source

Contextualizing the privacy paradox-a risk-benefit analysis of generation z's adoption intentions toward AI-based virtual try-on. [PDF]

Front Psychol
Mao K, Cui R, Wang Z.
europepmc   +1 more source

Evaluating privacy leakages in LLM-driven ambient clinical documentation. [PDF]

Front Digit Health
Chim J, Pearson J, Schofield D, Liakata M.   +3 more
europepmc   +1 more source