Latest Articles for Healthcare Technology

Innovative methods to enhance image-text models in healthcare with scarce data.

Strategies to enhance the fine-tuning of agents trained with offline reinforcement learning.

A study on deep learning models for better imaging in cervical cancer care.

Examining the role of domain generalization in medical signal classification.

Examining the use of Federated Learning for disease prediction while ensuring patient data privacy.

Researchers develop Cheff model for high-quality synthetic chest X-rays.

Methods to enhance data labeling efficiency in machine learning projects.

A novel method for recognizing actions using skeleton data without labels.

A new method improves control of artificial muscles for better finger movement.

Strategies to enhance model performance in new data environments.

Explore how Federated Learning transforms patient care and privacy in the healthcare sector.

A new method enhances unsupervised domain adaptation in healthcare and beyond.

A new method for selecting valuable projections in CT scans boosts image quality.

New bilingual model enhances medical advice accessibility for patients.

New method enhances lung cancer detection without labeled images.

A new method enhances reliability of medical imaging through uncertainty estimation.

This research highlights the impact of prevalence shifts on machine learning in healthcare.

A study reveals how incompetence scores can enhance model reliability in unpredictable data environments.

Study reveals how robots can learn from human handover techniques.

Discover how machine learning improves brain-computer interfaces for better user experience.

A new approach enhances the efficiency of patient history collection using AI.

Exploring AI's role in assessing lung scans for better patient diagnosis.

Evaluating GPT models' performance on Japan's National Medical Licensing Examination.

A deep dive into enhancing model prediction accuracy through NCP.

Research enhances multi-label classification models using partial annotations, boosting prediction accuracy.

MONet improves accuracy and reduces workload in lung lesion segmentation.

An overview of stream processing and the Diba framework for efficient data management.

New model improves uncertainty estimation for complex data types.

A novel approach using synthetic anomalies improves detection of medical imaging irregularities.

Examining how adversarial attacks impact segmentation models and exploring potential defenses.

This paper explores a new method for learning policies from offline data.

A new method improves segmentation for better cancer treatment outcomes.

A look at how learning invariance improves object recognition systems.

Introducing an effective technique for spotting anomalies in 3D data.

A study shows deep learning can accurately detect atrial fibrillation in noisy ECG recordings.

Sparse Learnable Masks improve feature selection efficiency and model accuracy.

Discover how IoT and machine learning can transform patient care and data security.

A new technique ensures data privacy in collaborative machine learning.

A new model improves ICD code association for French healthcare documents.

Examining AI and machine learning in prehospital emergency care.