Artificial Intelligence Medical Compendium

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

Showing 2,171 to 2,180 of 166,891 articles

Seeker-M: A bionic mantis shrimp robot with an adjustable-mass flexible spine.

Bioinspiration & biomimetics
To enhance the motion flexibility and environmental adaptability of underwater robots, this study proposes a novel design, Seeker-M, inspired by the locomotion mechanism of the mantis shrimp. The robot imitates the mantis shrimp's multi-pleopod swimm... read more 

Acute Leukemia Warning Model Combined CBC and CPD Data Based on Machine Learning.

International journal of laboratory hematology
BACKGROUND: Early diagnosis plays a crucial role in improving the survival rate of acute leukemia (AL) patients. This study aims to develop a warning model for the detection of acute leukemia (AL) using complete blood count (CBC) and cell population ... read more 

An Auditable Agent Platform For Automated Molecular Optimisation

arXiv
Drug discovery frequently loses momentum when data, expertise, and tools are scattered, slowing design cycles. To shorten this loop we built a hierarchical, tool using agent framework that automates molecular optimisation. A Principal Researcher de... read more 

Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs

arXiv
Prior clinical psychology research shows that Western individuals with depression tend to report psychological symptoms, while Eastern individuals report somatic ones. We test whether Large Language Models (LLMs), which are increasingly used in men... read more 

Beyond Meme Templates: Limitations of Visual Similarity Measures in Meme Matching

arXiv
Internet memes, now a staple of digital communication, play a pivotal role in how users engage within online communities and allow researchers to gain insight into contemporary digital culture. These engaging user-generated content are characterise... read more 

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models

arXiv
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated significant progress across multiple domains. However, these models still face the inherent challenge of integrating vision and language for collaborative inference, whic... read more 

Metabolic Reprogramming in Pheochromocytoma and Paraganglioma: Insights From Untargeted NMR Metabolomics Presurgical and Postsurgical intervention.

Magnetic resonance in chemistry : MRC
The aim of this study is to investigate the metabolic alterations associated with pheochromocytomas and paragangliomas (PPGLs) and the impact of surgical resection on the serum metabolome using untargeted nuclear magnetic resonance (NMR) metabolomics... read more 

Veila: Panoramic LiDAR Generation from a Monocular RGB Image

arXiv
Realistic and controllable panoramic LiDAR data generation is critical for scalable 3D perception in autonomous driving and robotics. Existing methods either perform unconditional generation with poor controllability or adopt text-guided synthesis,... read more 

The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning.

Scientific data
Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and ... read more 

When is String Reconstruction using de Bruijn Graphs Hard?

arXiv
The reduction of the fragment assembly problem to (variations of) the classical Eulerian trail problem [Pevzner et al., PNAS 2001] has led to remarkable progress in genome assembly. This reduction employs the notion of de Bruijn graph $G=(V,E)$ of ... read more