AI Medical Compendium

Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model.

BMC medical imaging May 26, 2026

BACKGROUND: Concurrent chemoradiotherapy (CCRT) was highly effective in treating cervical cancer (CC) but raised the risk of bone marrow suppression. However, models to predict the risk of myelosuppression in CC patients after CCRT based on computed ... read more

Multi-dimensional risk prediction and genetic architecture of aspiration pneumonia: a population-based analysis.

BMC infectious diseases May 26, 2026

BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with neurological comorbidities. Current risk stratification tools rely on single-dimensional clinical d... read more

Vaccination attitudes and intentions reported by Canadian children and their parents in the CHILD Cohort Study during the COVID-19 pandemic.

BMC public health May 26, 2026

BACKGROUND: Understanding if and how vaccination attitudes are shared among family members can help inform strategies to increase uptake. We assessed the correlation of self-reported COVID-19 vaccination attitudes and uptake among Canadian children a... read more

Exploring the value of peritumoral brain zone for classification of two malignant brain tumors based on the MRI interpretable models.

BMC medical imaging May 26, 2026

OBJECTIVES: This study aims to develop and validate a novel multimodal interpretable artificial intelligence model capable of fusing radiomics features and imaging features to accurately classify primary central nervous system lymphoma (PCNSL) and gl... read more

Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.

BMC public health May 26, 2026

BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under evaluation, there is limited evidence on professional and organisational perspectives regarding their... read more

A machine learning-based risk prediction framework for atypical hyperplasia and endometrial cancer in postmenopausal women.

World journal of surgical oncology May 26, 2026

BACKGROUND: This study aimed to develop and internally validate a machine learning-based model for predicting endometrial malignancy, defined as atypical hyperplasia or endometrial cancer (AH/EC), in postmenopausal women, integrating routinely availa... read more

ProtSeqGen: a novel deep learning model for protein sequence design.

BMC bioinformatics May 26, 2026

The protein inverse folding problem, which is the task of designing an amino acid sequence that will fold into a specified backbone structure, represents a fundamental challenge in de novo protein design. Existing computational methods, including dee... read more

An exploratory study of the use of artificial intelligence-based virtual patients to enhance dentist-patient communication training.

BMC medical education May 26, 2026

BACKGROUND: Effective doctor-patient communication is critical in dentistry for diagnostic accuracy and treatment efficacy. Traditional instructional formats afford limited practice opportunities, impeding the transfer of theoretical knowledge to cli... read more

Diagnostic value of integrated albumin-to-leukocyte ratio risk modeling stratification and machine learning approaches for prediction of spontaneous bacterial peritonitis in cirrhotic patients.

BMC infectious diseases May 26, 2026

BACKGROUND: Spontaneous bacterial peritonitis (SBP) remains a life-threatening complication of liver cirrhosis, requiring accurate and rapid prediction. Albumin and leukocyte count reflect systemic inflammation and liver dysfunction; combining them i... read more

CAR Practice Guidelines on Breast Imaging and Interventions: Mammography and Digital Breast Tomosynthesis.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes May 26, 2026

This guideline presents Part I of the Canadian Association of Radiologists (CAR) Practice Guidelines on Breast Imaging and Intervention and focuses on mammography and digital breast tomosynthesis (DBT). Developed by the CAR Breast Imaging Working Gro... read more

Artificial Intelligence Medical Compendium