Artificial Intelligence Medical Compendium

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

Showing 641 to 650 of 200,021 articles

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

Journal of biomedical informatics Jun 2, 2026
OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral Sclerosis (ALS) patients based on longitudinal disease progression patterns, using a novel deep learning framework that combines a Recurrent Variation... read more 

How machine learning applied on fMRI could improve the prognosis of the post-traumatic stress disorder: A systematic review.

Journal of affective disorders Jun 2, 2026
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. Despite the neurological nature of this disorder, its functional biomarkers, due to mixed results rema... read more 

The Cost of Convenient Truths: Artificial Intelligence in Matrix Biology.

Matrix biology : journal of the International Society for Matrix Biology Jun 2, 2026
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Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

Journal of controlled release : official journal of the Controlled Release Society Jun 2, 2026
The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present significant challenges to traditional treatment strategies, including inadequate targeting and variable drug resistance. In recent years, immune cell-based ... read more 

Predicting Preschool Children's Screen Time: The Role of Parental Digital Habits and Bandura's Social Learning Theory.

Research and theory for nursing practice Jun 2, 2026
Aim: The aim of this study was to identify the factors influencing preschool children's daily smartphone and tablet use and to evaluate the relative importance of these factors using machine learning models. Furthermore, the findings were discussed w... read more 

Artificial intelligence-driven workflow synchronizing interdisciplinary dentistry: Narrative review.

Journal of prosthodontic research Jun 2, 2026
PURPOSE: This narrative review summarizes an artificial intelligence (AI)-integrated digital workflow that enables a seamless, multidisciplinary approach to dental diagnosis and treatment planning, aiming to improve diagnostic coordination, efficienc... read more 

[Diagnosis and treatment for congenital ossicular chain malformations: current status, challenges, and future prospects].

Zhonghua yi xue za zhi Jun 2, 2026
Congenital ossicular chain malformation constitutes a pivotal etiological factor in conductive hearing loss. Despite its relatively low clinical incidence, the diagnosis and management of this condition persist as a formidable challenge in contempora... read more 

Quantifying and Predicting the Difficulty of Multiple Sequence Alignment with AlDiScore

bioRxiv Jun 2, 2026
Multiple Sequence Alignment (MSA) constitutes an important and frequent operation in molecular sequence data analysis. There exist numerous tools, algorithms, and criteria to infer an MSA. This plethora of available approaches to MSA may induced an e... read more 
bioinformatics

Real-time artificial intelligence prediction of peptide characteristics and MSFragger search improves multiplexed quantification of non-canonical HLA presented peptides in clear cell renal cell carcinoma.

bioRxiv Jun 2, 2026
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance makes them difficult to reproducibly identify and quantify, particularly in multiplexed immunopeptidomics workflows. Here we present MIRA-MS (Model-Inform... read more 
cancer biology

ATI_Box: A Simple tool for convolutional neural network-based image semantic segmentation

bioRxiv Jun 2, 2026
Quantitative analysis of microscopic images has become a standard in basic biological and biomedical research. Deep machine learning provided a powerful tool facilitating this process. However, practical adoption of deep machine learning to image ana... read more 
bioinformatics
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