Artificial Intelligence Medical Compendium

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

Showing 60,351 to 60,360 of 228,072 articles

BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images

arXiv
Detecting faces in overhead images remains a significant challenge due to extreme scale variations and environmental clutter. To address this, we created the BirdsEye-RU dataset, a comprehensive collection of 2,978 images containing over eight thousa... read more 

Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem

arXiv
We study the online centralized charging scheduling problem (OCCSP). In this problem, a central authority must decide, in real time, when to charge dynamically arriving electric vehicles (EVs), subject to capacity limits, with the objective of balanc... read more 

PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception

arXiv
We propose PISE, a physics-informed deep ghost imaging framework for low-bandwidth edge perception. By combining adjoint operator initialization with semantic guidance, PISE improves classification accuracy by 2.57% and reduces variance by 9x at 5% s... read more 

Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie

arXiv
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material design in ways previously unattainable. Driven by the accelerating pace of ... read more 

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory

arXiv
Future direct-imaging flagship missions, such as NASA's Habitable Worlds Observatory (HWO), face critical decisions in prioritizing observations due to extremely stringent time and resource constraints. In this paper, we introduce two advanced machin... read more 

HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications

arXiv
Intelligent assistive technologies are increasingly recognized as critical daily-use enablers for people with disabilities and age-related functional decline. Longitudinal studies, curation of quality datasets, live monitoring in activities of daily ... read more 

Avocado ripeness classification using handheld Raman spectroscopy: addressing data imbalance with machine learning and resampling techniques.

Food chemistry
Food waste is a global concern, partially caused by destructive testing and inaccurate visual inspections that misclassify quality. This study developed a machine learning-assisted handheld Raman spectroscopy for non-destructive classification of avo... read more 

Controlling gene expression using AI designed Cis-regulatory elements.

Biotechnology advances
Cis-regulatory elements (CREs) play a crucial role in regulating gene expression by controlling transcription, making the understanding and design of these elements essential for the advancement of biology. Traditional approaches often rely on empiri... read more 

Machine learning based prediction of mechanical properties in carbon fiber recovered through pyrolysis.

Waste management (New York, N.Y.)
The limitations of traditional pyrolysis technologies of recovered carbon fiber included long processing time, low efficiency, and unclear links between process parameters and performance. Moreover, pyrolysis alone formed residual coke on carbon fibe... read more 

SERS-enabled immune monitoring: Decoding the tumor microenvironment for precision Cancer immunotherapy.

International immunopharmacology
The tumor immune microenvironment (TME) is pivotal in regulating cancer initiation, progression, and therapeutic response. Despite major advances in immunotherapy, clinical outcomes remain limited by low response rates and unpredictable immune-relate... read more