Latest Articles for Healthcare

A look at how missing data affects medical decision-making with interpretable machine learning.

A new approach to measure the ease of drug synthesis.

Examining the impact of social factors on pregnancy outcomes for ethnic minority groups.

Using AI for better COVID-19 diagnosis through medical imaging.

A study on how clinical audits can enhance diabetes management.

A look at how primary care doctors handle genetic results and their implications.

Researchers use MUSIC to locate tiny hidden objects in various materials.

DAHL checks the accuracy of AI-generated medical texts to prevent misinformation.

A look at probability, GMMs, and their applications in different fields.

Understanding how treatment rankings can mislead healthcare decisions.

AI tools like LLMs are changing kidney care for doctors and patients.

A look into SPDFusion and its impact on image clarity.

Examining the causes of antibody issues after kidney transplants.

A new approach to enhance computer learning from complex data.

New methods aim to improve detection of pressure injuries in patients with darker skin.

A new model addresses the challenge of uncertain event timing in various fields.

New methods improve motion capture accuracy using just one camera.

MultiPopPred improves disease risk assessments for underrepresented populations.

A platform improving the use of health records for research.

Discover how antibodies fight infections and adapt through mutations.

NeKo enhances machine communication by fixing speech, translations, and text errors.

This paper examines the complexities of pairing hospitals with residents fairly.

New techniques enhance low-quality medical images for better diagnosis.

Learn how digital models are shaping healthcare research and treatment.

SpecRaGE improves how computers learn from mixed data sources.

Digital tools could improve heart failure diagnosis and treatment efficiency.

CoSAM enhances accuracy in medical image segmentation, aiding doctors in diagnoses.

Examining how researchers tackle ordinal data in clinical trials.

Learn how label shift impacts machine learning and discover methods to address it.

A framework to improve clarity and reduce conflicting explanations in machine learning.

Examining patient and caregiver perspectives on health data usage.

TSFormer offers a fast and efficient way to restore ultra-high-definition images.

S Can improves computer analysis of surgical videos through innovative memory techniques.

Using machine learning to assess feedback effectiveness in surgical training.

New model improves accuracy in diagnosing Alzheimer's, focusing on early intervention.

Improving detection of health issues in chest X-rays with an innovative model.

Examining the shift towards tailored prostate cancer screening based on genetic and family factors.

Flexible ratios can enhance patient recruitment in medical research.

Learn how copulas help reveal connections in data relationships.

Exploring the blend of quantum computing and machine learning for future innovations.