Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 10,221 to 10,230 of 208,952 articles

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

BMC medical imaging
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
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
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
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
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
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
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 

Preference-Based Representations for Collective Agency.

Topics in cognitive science
Computational accounts of learning and decision-making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that... read more 

Efficient in vivo assembly of DNA encoded multivalent BTEs for dual antigen targeting for broadening therapeutic impact in ovarian cancer.

Molecular therapy : the journal of the American Society of Gene Therapy
The clinical potential of bispecific T cell engagers (BTEs) is limited by their short serum half-life and the complexity and cost of recombinant protein manufacturing. Currently, BTEs rely on external production and repeat dosing, limiting scalabilit... read more