Artificial Intelligence Medical Compendium

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

Showing 2,161 to 2,170 of 202,207 articles

Humans vs. large language models in neurology board examination: performance, limitations, and reference reliability.

Acta neurologica Belgica Jun 4, 2026
AIM: To evaluate the performance and reference reliability of three large language models in neurology using a national board examination framework. METHODS: A total of 803 validated multiple-choice questions from Turkish National Neurology Board Exa... read more 

Development and validation of an interpretable machine learning model for predicting postoperative complications after transanal total mesorectal excision: a multicenter study.

Techniques in coloproctology Jun 4, 2026
OBJECTIVE: This study aimed to develop and externally validate an interpretable machine learning (ML) model for predicting postoperative complications after transanal total mesorectal excision (taTME). METHODS: We conducted a multicenter case-control... read more 

Differentiating advanced from non-advanced hepatic fibrosis: a hybrid deep learning-radiomics model leveraging synthetic contrast-enhanced CT from CycleGAN.

Abdominal radiology (New York) Jun 4, 2026
OBJECTIVES: This study aimed to develop and validate a hybrid deep learning-radiomics model that leveraged Cycle-consistent generative adversarial networks (CycleGAN)-synthesized contrast-enhanced computed tomography (CE-CT) images to differentiate a... read more 

Deep learning for clinically significant prostate cancer detection on MRI: a systematic review, HSROC meta-analysis, and direct comparison with PI-RADS-based interpretation.

Abdominal radiology (New York) Jun 4, 2026
OBJECTIVES: To estimate patient-level diagnostic accuracy of deep learning (DL) for MRI-based detection of clinically significant prostate cancer (csPCa), assess heterogeneity and clinical-readiness signals, and compare DL-alone, PI-RADS-alone, and A... read more 

Machine learning of multiparametric MRI radiomics preoperatively distinguishes testicular seminoma from non-seminoma: a multicenter study.

Abdominal radiology (New York) Jun 4, 2026
RATIONALE AND OBJECTIVES: This study aims to develop an optimal model for distinguishing seminoma from non-seminoma testicular tumors using machine learning classifiers based on multiparametric MRI radiomics. MATERIALS AND METHODS: This multi-institu... read more 

Navigating PI-RADS v2.1 in clinical practice: pitfalls, variability, and the supportive role of AI.

Abdominal radiology (New York) Jun 4, 2026
Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 has substantially advanced the standardization of prostate MRI acquisition, interpretation, and reporting and has helped establish a common language for MRI-directed diagnostic pathways... read more 

Predicting Treatment Response After Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer.

Annals of surgery Jun 4, 2026
OBJECTIVE: To develop a predictive model for pathological complete response (pCR) after total neoadjuvant therapy (TNT) to inform selection for watch-and-wait (W/W). SUMMARY BACKGROUND DATA: Patient selection for W/W after TNT for locally advanced re... read more 

Machine-learning-assisted screening of key flavor compounds in pumpkins.

Journal of the science of food and agriculture Jun 4, 2026
BACKGROUND: Pumpkin is an important food source. Its flavor significantly impacts consumer acceptance and market competitiveness. Machine learning (ML) can capture non-linear patterns and multivariate relationships in volatile organic compound (VOC) ... read more 

Cell Wall-Anchored MoOx@CuPc Nanoprobes Decode Organ-Level Metabolic Trade-Offs in Halophytes under Salt Stress.

Analytical chemistry Jun 4, 2026
Soil salinization poses a severe threat to global food security. However, deciphering the spatiotemporal dynamics of key metabolites and ions in living plants remains a formidable challenge due to the lack of robust in vivo sensing tools. In this stu... read more 

Critical assessment of Raman spectroscopy for clinical diagnostics: progress, limitations, and barriers to translation.

Clinical chemistry and laboratory medicine Jun 4, 2026
Raman spectroscopy (RS) has fascinated as a molecular diagnostic tool because of its potential to deliver label-free biochemical analysis of biological tissues and fluids. A number of proof-of-concept and early clinical studies have been conducted to... read more 
Popular Topics
Recent Journals