Artificial Intelligence Medical Compendium

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

Showing 40,231 to 40,240 of 223,737 articles

Predicting self-image satisfaction after adult spinal deformity surgery: a machine learning approach using patient phenotypes.

Spine deformity Mar 19, 2026
PURPOSE: To characterize the evolution of the Self-Image (SI) domain of the Scoliosis Research Society-22 item questionnaire (SRS-22) in adult spinal deformity (ASD) patients undergoing surgical correction and to identify predictors of achieving the ... read more 

TBMSCCN: Two-Branch Multi-Scale Convolutional Correlation Network for Steady-State Visual Evoked Potential Classification.

IEEE transactions on bio-medical engineering Mar 19, 2026
In recent years, artificial neural networks have been effectively used to improve the target recognition performance of steady-state visual evoked potential (SSVEP) based Brain-Computer interfaces (BCIs). However, these models require the collection ... read more 

ProCausal-WS: Weakly Supervised Causal Representation Learning Driven Interpretable Prostate Cancer Diagnosis.

IEEE journal of biomedical and health informatics Mar 19, 2026
Current computational approaches to prostate cancer diagnosis rely on either linear causal models that cannot handle the nonlinear dependencies among imaging, genomic, and clinical variables, or on deep learning methods that demand exhaustive expert ... read more 

BWS-Net: An Optimal Deep Learning Architecture for the Anterior Bladder Wall Segmentation using Ultrasound Imaging.

IEEE journal of biomedical and health informatics Mar 19, 2026
Urodynamic tests are used to assess bladder function by measuring detrusor pressure, which requires invasive catheterization. Ultrasound bladder vibrometry offers a non-invasive approach to evaluate bladder compliance for diagnostic purposes by estim... read more 

Graph-Enhanced Multi-Task Learning for Type 2 Diabetes Comorbidity Risk Prediction.

IEEE journal of biomedical and health informatics Mar 19, 2026
Early prediction of Type 2 diabetes mellitus (T2DM) complications holds significant clinical importance for improving patient outcomes and reducing healthcare burden, yet existing prediction methods exhibit notable limitations. This paper proposes a ... read more 

Antibody-drug conjugate design and mechanisms of action for cancer treatment: state of the art and beyond.

Physiological reviews Mar 19, 2026
Antibody-drug conjugates (ADCs) are a leading area of targeted cancer therapeutics, typically combining a tumour-associated antigen-specific antibody conjugated to a toxic payload that targets key cellular mechanisms, such as mitosis and survival. Th... read more 

Hybrid Graph-Machine Learning Framework for Accurate and Interpretable Band Gap Prediction.

Journal of chemical information and modeling Mar 19, 2026
Accurate prediction of the electronic band gap is essential for accelerating the discovery and design of semiconducting and energy materials. Conventional density functional theory (DFT) methods, while physically rigorous, remain computationally expe... read more 

Critical Assessment of a Structure-Based Pipeline for Targeting the Long Noncoding RNA MALAT1.

Journal of chemical information and modeling Mar 19, 2026
Long noncoding RNAs (lncRNAs) are increasingly recognized as druggable targets due to their conserved secondary/tertiary structures and regulatory roles in disease. A prototypical example is the MALAT1 triple helix, whose stability supports transcrip... read more 

Genomic evolution of SARS-CoV-2 delta variants pre- and post-omicron emergence using alignment-free machine learning models.

PloS one Mar 19, 2026
The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its enhanced transmissibility and vaccine-escape mutations, underwent further genomic changes following the emergence of the Omicron variant (B.1.1.529). Th... read more 

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

PLOS digital health Mar 19, 2026
Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prognostic models often lack interpretability and underutilize large-scale data. This study develops an explainable AI prognostic model for pancreatic can... read more 
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