Latest Articles for Healthcare

Examining how AI impacts healthcare and the importance of fairness.

Exploring 3D techniques to improve chronic wound assessment and treatment accuracy.

Integrating physics enhances the accuracy and reliability of medical image analysis.

Examining the challenges faced by older adults in accessing healthcare services.

Exploring the impact of natural disasters on radiotherapy and cancer care.

U-MedSAM improves accuracy and reliability in medical image segmentation.

A study investigates machine learning for predicting CIS to MS conversion.

Explore the latest trends and technologies in robotic limb development.

Exploring AI's role in improving mental health evaluation through natural language analysis.

Q-SHAP streamlines Shapley value calculations for improved model interpretability.

A new approach enhances analysis of single-channel EEG data using neural networks.

Examining how cancer cell mutations change over treatment.

A new method enhances offline RL using diffusion models for improved decision-making.

Examining the link between antibiotic prescriptions and asthma development in children.

A look at the importance and challenges of anomaly detection in various fields.

Study analyzes temperature effects on LLMs in clinical tasks using patient data.

A new tool for assessing explainability methods in AI systems.

A study reveals ongoing treatment struggles for ulcerative colitis patients in Germany.

A novel technique improves machine learning for EEG data across diverse sources.

This framework combines videos and brain data for better pain assessment.

Exploring how diverse datasets enhance small language models in healthcare.

A new method offers better estimates for treatment effectiveness in rare diseases.

Researchers are using technology to improve detection of depression in individuals.

New dataset improves tracking of large and small movements using millimeter wave radar.

A look at improving participant diversity in clinical trials through virtual methods.

Discover how semantic communication and LLMs improve IoT device interactions.

Examining pelvic health issues faced by Indigenous peoples globally.

Neural networks enhance two-sample testing for complex data analysis.

OPENGRASP LITE offers lightweight design and tactile sensors for improved daily use.

HyperMM improves disease diagnosis by analyzing incomplete medical images without needing imputation.

Learn how anomaly detection enhances safety in healthcare IoT systems.

Analyzing the effectiveness of COVID-19 vaccines over time using real-world data.

A model enhances gaze prediction accuracy using brain signals efficiently.

Explore the growing role of social robots in healthcare, education, and entertainment.

Discover how GPT-3 transforms unstructured data into structured information.

A study shows HRV can improve early sepsis diagnosis.

Multi-Task Grouping improves learning efficiency and performance across various AI applications.

Students assess health-related answers from large language models for accuracy and safety.

PB-AA-CBR merges user preferences with case-based reasoning for tailored decision-making.

Analysis shows improved reporting in systematic reviews over the past decade.