Latest Articles for Healthcare Technology

This article discusses the importance of measuring uncertainty in AI predictions.

This article discusses how AI models learn from mistakes through self-correction.

An analysis of language models and their role in healthcare.

LLMs are assisting doctors, improving patient care while reducing risks of misinformation.

CAT enhances model interpretability by grouping features into high-level concepts.

A new method enhances ultrasound image interpretation using machine learning.

A comprehensive model aims to enhance security and dependability in 5G-MEC environments.

A new algorithm combines offline RL and preference feedback for improved decision-making.

New method promises efficient data erasure while preserving model performance.

Introducing FC-EM to protect 3D point cloud data from unauthorized access.

EndoGPT aids in decision-making for thyroid nodules with notable accuracy.

FedMap improves Federated Learning efficiency while ensuring data privacy.

A new method improves AI decision-making clarity.

CanDrivR-CS improves understanding of genetic variants in cancer treatment.

An overview of neural networks, their structure, and applications across various fields.

A novel approach combines voice analysis with privacy protection for dementia detection.

LeDNet enhances chest X-ray analysis for better lung disease classification.

CD-T enhances understanding of transformer models, improving interpretation and trust.

A new method improves medical image analysis while preserving critical details.

Code poisoning enhances risks of membership inference attacks on sensitive data.

A flexible method enhances model learning by adjusting sample selection based on performance.

A new method improves AI decision-making reliability and transparency.

Study assesses AI models' role in identifying EECP research questions.

Research reveals new methods for automatic diagnostic report writing using AI.

A novel approach improves airway identification in lung CT scans using limited data.

KANs enhance image analysis and classification while using fewer resources.

This article examines the limitations of in-context learning in large language models.

Introducing FairMedFM to evaluate the fairness of foundation models in healthcare.

Diffusion Models transform data generation and set new standards in quality.

A framework for secure sharing of health information while protecting patient privacy.

This study assesses how medical LVLMs perform amidst hallucinations using a new dataset.

A new approach enhances the identification of medical terms in text.

A new model enhances consistency and clarity in carotid ultrasound imaging.

MMedAgent aims to enhance medical imaging tasks through a specialized AI approach.

A new method improves prediction clarity in softmax classifiers for critical fields.

A new method enhances accuracy in diagnosing diseases from chest X-rays.

LaMoD improves heart motion analysis from standard CMR videos.

Exploring a unified framework for effective offline decision making and its real-world applications.

MedGraphNet improves predictions for diseases, treatments, and genetic connections.

A new method enhances medical image segmentation using available text records.