AI Medical Compendium

Performance of a self-attention-based model in the task of differentiating clear cell renal cell carcinoma from other renal tumors: variable Vision Transformer (vViT).

The British journal of radiology May 20, 2026

OBJECTIVES: To examine the performance of the variable Vision Transformer (vViT) in comparison with that of convolutional neural networks (CNNs) in the task of differentiating clear cell renal cell carcinoma (ccRCC) and non-ccRCC using computed tomog... read more

Prognostic Significance of Baseline 18F-FDG PET/CT Parameters in Combination with an Artificial Intelligence-Based Pleural Effusion Segmentation Model for Malignant Pleural Effusion.

The British journal of radiology May 20, 2026

OBJECTIVES: We aimed to use an artificial intelligence (AI)-based pleural effusion segmentation model on baseline 18F-FDG positron emission tomography/computed tomography (PET/CT) images to investigate the prognostic value of PET/CT-derived parameter... read more

Uncovering G Protein-Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis.

Annals of clinical and translational neurology May 20, 2026

BACKGROUND: Low-grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein-coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GP... read more

Integrating Taguchi design and machine learning models for trait stability and predicting forage quality in naturally occurring grass pea (Lathyrus spp.).

BMC plant biology May 20, 2026

This study investigated the forage quality of four naturally occurring Lathyrus species (Lathyrus czeczottianus, L. pratensis, L. roseus, and L. rotundifolius subsp. miniatus), including one endemic taxon, collected from the Rize province of Turkey. ... read more

Modeling and classifying neuronal activity with a fusion of mathematical and machine learning techniques.

BMC bioinformatics May 20, 2026

Predicting neuron spike patterns is crucial because spikes are the brain's fundamental language, revealing how information is encoded and transmitted. Such prediction also supports disease diagnosis, brain-machine interfaces, and the control of robot... read more

Identifying the factors influencing long-term care utilization by older adults in China: machine learning analysis.

BMC geriatrics May 20, 2026

BACKGROUND: To address the aging population in China, local governments began to encourage the establishment of formal care services and supplement informal care in 2015, thereby increasing the availability of different types of long-term care (LTC).... read more

Bridging ensemble model and public health practice: an approach for refining understanding of seasonal dengue transmission patterns in Bangladesh.

BMC infectious diseases May 20, 2026

BACKGROUND: Dengue fever remains a persistent public health threat in Dhaka, Bangladesh, necessitating effective early warning systems to enable timely interventions and mitigate impacts. This study develops and evaluates modeling approaches to produ... read more

Preoperative identification of tumor deposits in rectal cancer using a transformer-based multimodal fusion model: a multicenter retrospective study.

BMC medical imaging May 20, 2026

OBJECTIVE: To develop and validate a transformer-based deep learning-radiomics model for the non-invasive preoperative discrimination of tumor deposits (TDs) in rectal cancer by integrating multi-sequence MRI features and clinical risk factors. METHO... read more

Comparing the performance of statistical and machine learning survival models in predicting timing and determinants of postnatal care in Rwanda.

BMC pregnancy and childbirth May 20, 2026

BACKGROUND: Postnatal care (PNC) remains the least utilized component of the maternal care continuum despite its critical role in preventing maternal and neonatal deaths. Conventional survival models estimate associations and identify determinants of... read more

The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis.

BMC medical education May 20, 2026

BACKGROUND: Currently, there is a growing body of research examining the role of generative Artificial Intelligence (GenAI) in medical undergraduate education. However, the findings of these studies exhibit considerable variability. Therefore, this r... read more

Artificial Intelligence Medical Compendium