Latest Articles for Healthcare Technology

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.

Research assesses stability of XAI methods using diabetes dataset.

Explore the evolution and benefits of YOLO in object detection.

Examining membership inference attacks on time-series forecasting models in healthcare.

An overview of methods to safeguard personal information while maintaining data usefulness.

Discover how data pre-processing enhances predictions of critical health outcomes.

BlackVIP enables efficient use of AI models without accessing their internals.

A method for estimating community memberships while protecting individual privacy.

A new convolutional layer design reduces parameters and improves interpretability in AI models.

This research examines how visual issues impact Visual Question Answering models.

New methods improve 3D models from freehand ultrasound images.

This study highlights the importance of uncertainty in AI segmentation for multiple sclerosis.

CaseGPT improves case retrieval and insights for professionals in healthcare and law.

MiniGPT-Med helps radiologists improve diagnosis accuracy and efficiency.

A new method improves image alignment using deep learning techniques for better clinical outcomes.

Strategies to combat malaria drug resistance and improve tracking systems in Africa.

Introducing ADAPT, a system that tackles missing data in medical monitoring.

Examining the link between sleep quality and daily behavior in individuals with ASD.

Researchers reveal effective techniques for analyzing arguments in low-data languages.

Exploring how blockchain can enhance trust and efficiency in clinical trials.

A new method enhances the accuracy of prediction intervals for reliable decision-making.

New method improves model performance on unseen data.

Explore the advantages and applications of Low-Rank Adaptation in AI models.

Evaluating ChatGPT's effectiveness in providing drug information and its challenges.