Artificial Intelligence Medical Compendium

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

Showing 28,541 to 28,550 of 219,260 articles

Camera Control for Text-to-Image Generation via Learning Viewpoint Tokens

arXiv
Current text-to-image models struggle to provide precise camera control using natural language alone. In this work, we present a framework for precise camera control with global scene understanding in text-to-image generation by learning parametric c... read more 

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification

arXiv
Vision-language models (VLMs) are increasingly used in settings where sensitivity to low-level image degradations matters, including content moderation, image restoration, and quality monitoring. Yet their ability to recognize distortion type and sev... read more 

Lucky High Dynamic Range Smartphone Imaging

arXiv
While the human eye can perceive an impressive twenty stops of dynamic range, smartphone camera sensors remain limited to about twelve stops despite decades of research. A variety of high dynamic range (HDR) image capture and processing techniques ha... read more 

Online CS-based SAR Edge-Mapping

arXiv
With modern defense applications increasingly relying on inexpensive, small Unmanned Aerial Vehicles (UAVs), a major challenge lies in designing intelligent and computationally efficient onboard Automatic Target Recognition (ATR) algorithms to carry ... read more 

scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics

arXiv
The integration of single-cell proteomic data is often hindered by the fragmented nature of targeted antibody panels. To address this limitation, we introduce scpFormer, a transformer-based foundation model designed for single-cell proteomics. Pre-tr... read more 

Multi-Objective Reinforcement Learning for Generating Covalent Inhibitor Candidates

arXiv
Rational design of covalent inhibitors requires simultaneously optimizing multiple properties, such as binding affinity, target selectivity, or electrophilic reactivity. This presents a multi-objective problem not easily addressed by screening alone.... read more 

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance

arXiv
As microelectronics flourish and outsourcing of the design and manufacturing stages of integrated circuits (ICs) and printed circuit boards (PCBs) becomes the norm, microelectronics stakeholders must also confront a new wave of security challenges, i... read more 

Statistics, Not Scale: Modular Medical Dialogue with Bayesian Belief Engine

arXiv
Large language models are increasingly deployed as autonomous diagnostic agents, yet they conflate two fundamentally different capabilities: natural-language communication and probabilistic reasoning. We argue that this conflation is an architectural... read more