Artificial Intelligence Medical Compendium

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

Showing 28,961 to 28,970 of 219,647 articles

Multi-Objective Reinforcement Learning for Generating Covalent Inhibitor Candidates

arXiv Apr 21, 2026
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 
Machine Learning

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance

arXiv Apr 21, 2026
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 
Cryptography and Security

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

arXiv Apr 21, 2026
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 
Machine Learning cs.AI cs.CL

Cognitive Alignment At No Cost: Inducing Human Attention Biases For Interpretable Vision Transformers

arXiv Apr 21, 2026
For state-of-the-art image understanding, Vision Transformers (ViTs) have become the standard architecture but their processing diverges substantially from human attentional characteristics. We investigate whether this cognitive gap can be shrunk by ... read more 
Computer Vision and Pattern Recognition cs.AI

Learning to count small and clustered objects with application to bacterial colonies

arXiv Apr 21, 2026
Automated bacterial colony counting from images is an important technique to obtain data required for the development of vaccines and antibiotics. However, bacterial colonies present unique machine vision challenges that affect counting, including (1... read more 
Computer Vision and Pattern Recognition

FluSplat: Sparse-View 3D Editing without Test-Time Optimization

arXiv Apr 21, 2026
Recent advances in text-guided image editing and 3D Gaussian Splatting (3DGS) have enabled high-quality 3D scene manipulation. However, existing pipelines rely on iterative edit-and-fit optimization at test time, alternating between 2D diffusion edit... read more 
Computer Vision and Pattern Recognition

The Effect of Age, Sex, and Body Mass Index on Spinopelvic Balance Throughout Childhood and Adolescence: An Automated 3D-Computed Tomography Study of 9,721 Pediatric Patients.

Journal of the Pediatric Orthopaedic Society of North America Apr 21, 2026
BACKGROUND: Spinopelvic assessment is critical for surgical planning. It is unknown if age, sex, and body mass index (BMI) influence pelvic orientation during development. This study aimed to (1) describe normative pelvic orientation and (2) investig... read more 

The Hospital Organ Donation Performance Score: A human and artificial intelligence/machine learning collaborative solution to the current nationwide puzzling state of organ donation metrics.

Surgery Apr 20, 2026
BACKGROUND: Efforts to ameliorate the current organ shortage have predominantly focused on improving processes among the nation's organ procurement organizations. However, there is no consensus on how to measure the quality of an individual hospital'... read more 

Electrophysiologically informed spiking neural networks for fish-inspired navigation with boundary vector cells and hydrostatic pressure cues.

iScience Apr 20, 2026
Spatial memory is a fundamental cognitive capacity governing the mental encoding of spatial information, which can be used to navigate through intricate terrains. While most navigation models rely on place- and grid cells as key building blocks, in f... read more 

Multi-Crop Sclerotinia sclerotiorum Apothecia Prediction Models for Irrigated Environments are Improved by On-Site Weather Monitoring and Supervised Machine Learning.

Phytopathology Apr 20, 2026
Sclerotinia sclerotiorum causes Sclerotinia stem rot, or white mold, on multiple economically important crops in Michigan. Soybean farmers and crop consultants in the midwestern United States currently use S. sclerotiorum apothecia prediction models ... read more 
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