Artificial Intelligence Medical Compendium

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

Showing 2,391 to 2,400 of 166,891 articles

Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Scientific reports
Novel methods for detecting transplant rejection are craved, since conventional methods can detect ongoing rejection that may sometimes have already caused irreversible damage in transplanted organs. Here, we applied a transcriptomics database of rec... read more 

Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites.

Nature methods
Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological functions, resulting in proteins with new-to-nature activities. A prominent example are switchable protein variants, created by receptor domain insertion i... read more 

Deep learning and digital twin integration for structural damage detection in ancient pagodas.

Scientific reports
In recent years, with the rise of digital twin technology in the field of artificial intelligence and the continuous advancement of hardware imaging equipment, significant progress has been made in the detection of structural damage in buildings and ... read more 

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health
BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more 

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more 

Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion

arXiv
Recommender systems (RSs) are now fundamental to various online platforms, but their dependence on user-contributed data leaves them vulnerable to shilling attacks that can manipulate item rankings by injecting fake users. Although widely studied, ... read more 

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Chinese medical journal
Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them ideal targets for personalized cancer immunotherapy. Neoantigens originate from tumor-specific genetic alterations, abnormal viral infections, or other... read more 

Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design.

Scientific reports
This paper presents a novel deep learning approach for the adaptive fusion of multicultural visual elements in cross-cultural visual communication design for interface development. We address the challenge of creating culturally appropriate digital i... read more 

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

JMIR medical informatics
This Perspective article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning (DL) with multimodal clinical data, including lung imaging, pulmonary function te... read more 

Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM).

Journal of imaging informatics in medicine
Modern radiology relies entirely on digital imaging systems. Healthcare records draw cybercriminals' attention. On-site and cloud-based informatics systems, including artificial intelligence, can boost efficiency but also create weak points. Medical ... read more