Latest Articles for Healthcare Technology

Exploring new AI techniques for improved prostate cancer image analysis.

A new framework enhances understanding of time series model predictions.

A novel approach reveals connections between brain structure and cognitive functions.

Study reveals impact of facial symmetry on AI emotion classification.

D2UE framework improves detection of anomalies in medical images using diverse model approaches.

This system enhances lung ultrasound efficiency and accuracy via robotic assistance.

A new method balances personalisation and privacy in federated learning.

AI tools in healthcare offer benefits but raise significant safety concerns.

Exploring shape memory alloys for smarter soft robot interaction.

Discover how machine learning improves surgical planning in neurosurgery.

A novel approach improves the accuracy of MS lesion segmentation in MRI scans.

CryptoTrain combines cryptographic techniques to protect sensitive data during machine learning training.

A new method improves how doctors diagnose liver conditions using sound waves.

New method improves MRI image quality and speed.

FeDETR uses federated learning for improved coronary stenosis evaluation.

RadOnc-GPT enhances response efficiency in prostate cancer patient messaging.

A framework for improving trust in LLMs while managing sensitive information.

Assessing the impact of LLMs on healthcare documentation and safety.

Study examines self-supervised learning methods to enhance cardiovascular imaging.

A new approach improves how AI assesses uncertainty in predictions.

DREAMS simplifies deep learning for EEG data, promoting transparency and ethical practices.

M3CoL improves AI's ability to learn from diverse data types.

Survey reveals attitudes toward health apps and data sharing across generations.

Pf-SMARRT improves detection of malaria treatment resistance in Cameroon.

A new method improves object segmentation in images without manual labels.

Exploring federated learning's impact on medical data privacy and protection strategies.

Exploring transcription's impact on nursing documentation in Switzerland.

Study shows clear privacy information boosts medical data uploads in EHR systems.

A model to assess segmentation quality without ground truth benchmarks.

HealthQ evaluates AI's ability to ask questions in patient care.

MedCLIP-SAMv2 improves tumor detection using advanced segmentation techniques and minimal labeled data.

AI technology improves medication extraction accuracy and speed in healthcare.

A new index helps assess diversity in AI-generated medical images.

Exploring Federated Learning's role in enhancing medical imaging while protecting patient privacy.

MedViLaM integrates multiple medical data types for improved analysis and decision-making.

A novel method for adapting time-series data without needing source information.

Combining global and local prompts enhances federated learning models while preserving data privacy.

A robotic nurse designed to assist in operating rooms and improve surgical efficiency.

A new method improves MRI imaging by correcting motion during scans.

A new approach to train AI models while meeting safety standards.