Artificial Intelligence Medical Compendium

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

Showing 561 to 570 of 159,289 articles

Can medical students use artificial intelligence to learn transfusion? Evaluating ChatGPT responses to the American Society of Hematology medical student transfusion learning objectives.

Vox sanguinis Jul 13, 2025
BACKGROUND AND OBJECTIVES: Chat generative pretrained transformer (ChatGPT) is a large language model that is already in wide use among medical students as a means of learning. Many papers have evaluated ChatGPT as a presenter of medical knowledge fo...
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Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BJU international Jul 13, 2025
BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the treatment of prostate cancer. RARP requires a trade-off between performing a wider resection in order to reduce the risk of positive surgical margins (...
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Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Scientific reports Jul 13, 2025
Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, with an estimated incidence exceeding 500,000 new cases annually. Timely diagnosis is vital for enhancing therapeutic outcomes and increasing survival p...
Breast Neoplasms Image Processing, Computer-Assisted Algorithms Female Thermography Particle Swarm Optimization Early Detection of Cancer Infrared Rays Humans Neural Networks, Computer
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MobiWorld: World Models for Mobile Wireless Network

arXiv Jul 13, 2025
Accurate modeling and simulation of mobile networks are essential for enabling intelligent and cost-effective network optimization. In this paper, we propose MobiWorld, a generative world model designed to support high-fidelity and flexible environ...
Networking and Internet Architecture
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ViSP: A PPO-Driven Framework for Sarcasm Generation with Contrastive Learning

arXiv Jul 13, 2025
Human emotions are complex, with sarcasm being a subtle and distinctive form. Despite progress in sarcasm research, sarcasm generation remains underexplored, primarily due to the overreliance on textual modalities and the neglect of visual cues, as...
Computation and Language Artificial Intelligence Human-Computer Interaction
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Improved Performance of an Updated Artificial Intelligence Model for Interpretation of Functional Lumen Imaging Probe Panometry Studies.

Neurogastroenterology and motility Jul 13, 2025
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Synergistic innovation in organ-on-a-chip and organoid technologies: Reshaping the future of disease modeling, drug development and precision medicine.

Protein & cell Jul 13, 2025
FDA issued guidance on April 10th, 2025 to phase out animal trials in favor of organoids and organ-on-a-chip systems. This pivotal move was swiftly followed by National Institutes of Health (NIH) on April 29th, when it inaugurated the Office of Resea...
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Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control

arXiv Jul 13, 2025
Proton Pump Inhibitors (PPIs) are the standard of care for gastric acid disorders but carry significant risks when administered chronically at high doses. Precise long-term control of gastric acidity is challenged by the impracticality of invasive ...
Systems and Control Machine Learning Systems and Control
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Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams

arXiv Jul 13, 2025
Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults. While screening reduces the risk of blindness, traditional imaging is often costly and inaccessible. Artificial intelligence (AI) algorithms present a scalable diagn...
Computer Vision and Pattern Recognition Machine Learning
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Bounded Model Checking of RISC-V Machine Code with Context-Free-Language Ordered Binary Decision Diagrams

arXiv Jul 13, 2025
Symbolic execution is a powerful technique for analyzing the behavior of software yet scalability remains a challenge due to state explosion in control and data flow. Existing tools typically aim at managing control flow internally, often at the ex...
Programming Languages
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