Latest Articles for Healthcare Technology

A new method improves image segmentation while maintaining patient privacy.

New methods improve heart imaging quality while reducing radiation exposure.

CDI-Net improves SPECT imaging quality while reducing radiation exposure.

A new method to enhance learning from limited tasks in machine learning.

Examining how models learn and make decisions in critical applications.

This work enhances parameter tuning in Bayesian networks with minimal changes.

A new method enables robots to learn continuously without resets.

An overview of challenges and defenses against adversarial attacks in deep learning.

New methods improve accuracy and efficiency in detecting anatomical landmarks in medical imaging.

A large dataset of baby cries aids in understanding infant communication and health.

Exploring time-frequency warped waveforms for efficient IoT connectivity.

VQA systems combine images and language to answer user queries effectively.

Enhancing Sparse Neural Networks through optimized activation functions and hyperparameters.

A new method enhances MRI imaging by preserving accuracy and reducing data requirements.

Integrating symbolic and neural agents for superior system performance.

PS-FedGAN enhances privacy and efficiency in federated learning by sharing minimal data.

Federated Learning enhances model training while keeping user data private.

A new framework enhances predictions of human motion for various applications.

A new method for enhancing photoacoustic angiography using doodles for image training.

AI is improving heart imaging and diagnosis efficiency with new datasets and models.

Examining LIME's reliability in providing stable explanations for text classification models.

Exploring new methods to improve offline reinforcement learning efficiency and safety.

Research uncovers the effectiveness of pre-trained models for detecting unusual data.

New method improves anomaly detection by identifying patterns in data.

SynthMix improves medical image analysis through innovative mix-up techniques.

CIT-EmotionNet enhances emotion detection through innovative EEG signal analysis.

A new method enhancing AI's decision-making transparency without sacrificing accuracy.

Study reveals potential of non-invasive techniques for ICP prediction.

New calibration method enhances reliability of deep learning model predictions.

New methods enhance predictions for out-of-distribution machine learning data.

Examining offline reinforcement learning with a focus on distribution shift and low-rank structures.

A new method improves privacy in decision trees without sacrificing accuracy.

Using synthetic images to enhance ultrasound analysis and training.

Researchers improve disease detection in OCT images through clinical labels and contrastive learning.

A new model improves accuracy in brain tumor image analysis.

Examining how chatbots handle sensitive information and privacy issues.

An analysis of synthetic data's effectiveness and its applications in various fields.

A novel method breaks down brain connectivity for better predictions and identities.

SignalGPT aids healthcare by interpreting biomedical signals into clear text.

A new framework integrates structured and unstructured data for improved accuracy.