Artificial Intelligence Medical Compendium

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

Showing 1,601 to 1,610 of 200,546 articles

Prostate Targeting: Compact Robot With Harmonic Stepper Motors for MRI-Guided Needle Therapy.

IEEE transactions on bio-medical engineering Jun 1, 2026
The superior image quality and excellent contrast offered by Magnetic Resonance Imaging (MRI) make it an ideal tool for guiding interventional procedures, particularly in targeting tumors within soft tissues. This paper presents an innovative robotic... read more 

Manifold Learning Approaches for Characterizing Photoplethysmographic Signals.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Photoplethysmography (PPG) is widely used for cardiovascular monitoring, but its analysis is challenged by signal variability, inconsistent acquisition settings, and limited interpretability. This study investigates the use of low-dimensio... read more 

A Hierarchical Multimodal Framework for Sedation Monitoring in ICU Patients.

IEEE transactions on bio-medical engineering Jun 1, 2026
In the intensive care unit (ICU), monitoring sedation levels is crucial. Clinicians often rely on intermittent behavioral scales like the Richmond Agitation-Sedation Scale (RASS), which can be subjective and delay timely interventions. While electroe... read more 

Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026
Recent advancements in language models have demonstrated its capacity of context understanding and generative representations. Leveraged by these developments, we propose a novel multimodal trajectory predictor based on a vision-language model, named... read more 

From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT

bioRxiv May 31, 2026
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are d... read more 
genomics

Instance-Wise Contrastive Graph Neural Network Enables the Discovery of Novel Aedes aegypti Larvicidal Compounds

bioRxiv May 31, 2026
Aedes aegypti remains a major arboviral vector, making larval control a critical strategy to reduce mosquito populations. However, resistance to commercial larvicides has reduced the long-term effectiveness of current interventions, reinforcing the n... read more 
bioinformatics

Cancer workforce-a global crisis: a Lancet Oncology Commission.

The Lancet. Oncology May 31, 2026
The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival between high-income countries and low-income and middle-income countries (LMICs). This Commission s... read more 

Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning.

Disability and rehabilitation. Assistive technology May 31, 2026
PURPOSE: This study proposes an early-stage, non-invasive assistive framework as a proof-of-concept for American Sign Language recognition (ASLR) using radio-frequency (RF) sensing and time-series deep learning (DL) techniques. The framework aims to ... read more 

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Renal failure May 31, 2026
Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby exacerbating tissue damage and organ dysfunction. However, the key biomarkers of cellular senescence a... read more 

Dynamic task offloading for sports training monitoring in MEC-assisted smart wearable device systems.

Scientific reports May 31, 2026
With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, smart wearable devices (SWDs) are regarded as a promising approach for sports training monitoring. However, such monitoring generates a large number of co... read more 
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