Latest Articles for Healthcare

A framework to evaluate data quality in medical AI applications.

Examining factors affecting healthcare utilization among young women in low-income nations.

Creating multilingual models to improve healthcare communication and access.

A new method enhances personalized decision-making in machine learning systems.

Addressing the rise of antibiotic-resistant CRAB in healthcare settings.

Study reveals treatment access gaps for veterans with obesity across different races.

Addressing privacy concerns in systems that manage sensitive data.

A framework to enhance health systems for disabled individuals worldwide.

Explore how AI improves efficiency across healthcare, maintenance, and agriculture.

Exploring the role of ChatGPT in monitoring medication safety through event extraction.

Using Machine Learning to enhance art therapy for ICU recovery.

A review reveals the need for better clinical trial reporting in the Nordic region.

Discover how nanoantennas and nanoradars are shaping the future of communication and sensing.

New AI technology enhances ultrasound imaging, improving catheter detection during procedures.

A study on factors influencing health check-up attendance in Jordan.

A study on surgery patients' pain expectations and coping strategies.

AffectToolbox simplifies emotion analysis for researchers and users alike.

Researchers create synthetic data to project long-term outcomes of Alzheimer's treatments.

RACER streamlines the analysis of semi-structured interviews in healthcare research.

This study explores AI's role in creating clearer patient summaries.

A new method improves causal discovery with incomplete data using optimal transport.

This review highlights the need for better preconception care and data collection.

The study reveals disparities in UAD models impacting healthcare fairness.

A new approach trains AI agents to make justifiable decisions through structured debates.

The Solidarity Finland trial evaluates imatinib's effectiveness in COVID-19 treatment.

Integrating language models into causal discovery streamlines analysis and reveals hidden relationships.

Addressing the challenge of privacy in data-driven decision-making for healthcare.

Humanoid robots replicate human movements for medical applications.

EHRNoteQA tests language models using real clinical notes for better patient care.

Exploring the role of AI in enhancing digital pathology practices.

Explore the crucial role of algorithm fidelity in online reinforcement learning for healthcare trials.

This study examines how debt impacts medical students' well-being and career choices.

Discover the significance of CPD for medical laboratory experts in Ethiopia.

Using voice recordings can help track respiratory health effectively.

Doctors face difficulties in identifying lingering health issues after COVID-19.

Innovative methods improve early detection of serious eye conditions.

A look at advancements in speech recognition to boost speed and accuracy.

Improving doctor-patient communication through advanced speech recognition technologies.

This study examines how immune responses vary after vaccination among healthcare workers.

A new approach to estimate treatment effects while considering individual uncertainty.