Artificial Intelligence Medical Compendium

Knowledge Distillation (KD) is a widely used technique to enhance model performance. However, most existing methods are designed under the assumption that the teacher and student models belong to the homogeneous architecture -particularly those relyi... read more 

One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tenggara, with a percentage of cases almost reaching 12.7 %, even though this province is a priority target for stunting reduction by 2022. Specifically in... read more 

OBJECTIVE: To examine cross-sectional and longitudinal associations between vascular risk factors, APOE genotype, and perivascular spaces (PVS), with attention to sex- and region-specific patterns in older adults. DESIGN: Population-based observation... read more 

PURPOSE: Novel large language models (LLMs) such as Generative Pretrained Transformer-5 (GPT-5) integrate advanced reasoning capabilities that may enhance performance on complex medical question-answering tasks. For this latest generation of reasonin... read more 

BACKGROUND AND OBJECTIVE: Early detection of oral cavity cancers is critical for improving patient survival rates and treatment efficacy. In this context, this study evaluates the potential of computer vision models as diagnostic tools for identifyin... read more 

To decipher subtle chemical variation of both non-volatile and volatile components during bran-roasting of nutmeg (Myristica fragrans), we innovatively established a "three-source comparison" approach (raw nutmeg, RN; bran-roasted nutmeg in lab, BN-L... read more 

This work introduces a novel deep learning-based architecture, termed the Deep Belief Markov Model (DBMM), which provides efficient, model-formulation agnostic inference in Partially Observable Markov Decision Process (POMDP) problems. The POMDP fram... read more 

Diabetic retinopathy, which is a retinal disease that results from diabetes, has become the leading cause of blindness. Early diagnose of diabetic retinopathy is crucial for preserving vision and saving lives. To date, several pioneering methods have... read more 

Cancer prognosis of complications like metastasis, recurrence, and side effects of treatments is important to enhance patient prognosis. There is great potential in the use of ML on lifetime data for improving prediction accuracy in oncology; however... read more 

PURPOSE: To evaluate whether deep learning reconstruction (DLR) can reduce the radiation dose in routine clinical computed tomography (CT) scans compared with iterative reconstruction (IR) while maintaining or improving image quality. The study asses... read more