Latest Articles for Patient Care

New model improves accuracy and reduces uncertainty in prostate cancer diagnosis.

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

New schema improves diagnosis and treatment of rare diseases.

New method uses k-Space data for faster and clearer MRI results.

Updated rules help classify genetic changes in the ATM gene.

Understanding genetic variants helps improve disease diagnosis and treatment.

Exploring how SGLT2 inhibitors affect kidney health in diabetes patients.

Innovative system restores damaged endoscopic videos while maintaining critical depth information.

A new AI model enhances the efficiency of clinical trials.

A study analyzes prescription durations and variations across England's general practices.

D-Rax assists radiologists in image analysis and communication.

Study develops tool to measure CADASIL impact on patients' lives.

Understanding cancer cell behavior to improve melanoma therapies.

New methods enhance the classification of genetic variants in cancer treatment.

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

This study examines rTMS effectiveness and response patterns in depression treatment.

Study reveals immune factors linked to survival in cryptococcal meningitis patients.

Study highlights the impact of depression on quality of life for Parkinson's patients.

Exploring patient data to improve head and neck cancer outcomes.

Prostad aims to speed up prostate cancer diagnosis and improve patient experience.

A new model enhances clinical outcome predictions for patients with Multiple Myeloma.

New method improves MRI image quality by addressing motion issues.

Research examines Sleep Restriction Therapy for insomnia among breast cancer patients.

New deep learning model analyzes ECGs for heart issues.

Research sheds light on Primary Graft Dysfunction after lung transplants.

A novel method enhances the accuracy of treatment effect estimates over time.

Medical training focuses on recognizing and managing implicit bias.

A new method enhances accuracy in predicting cancer patient survival.

AI technologies are transforming the approach to diagnosing colorectal cancer effectively.

Study reveals key factors predicting heart issues in ICI-treated cancer patients.

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

This review highlights potential biomarkers for better diagnosis and treatment of bladder cancer.

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

Study reveals machine learning models can enhance hospital discharge predictions.

Enhancing pharmacovigilance through reliable language model outputs.

PainBit helps patients track their pain levels easily and effectively.

Anxiety significantly impacts Parkinson's patients, affecting their quality of life and care.

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

LaMoD improves heart motion analysis from standard CMR videos.

A look at ALS, its effects, and research efforts.