Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 511 to 520 of 158,401 articles
Residual Prior-driven Frequency-aware Network for Image Fusion
arXiv
Jul 9, 2025
Image fusion aims to integrate complementary information across modalities to
generate high-quality fused images, thereby enhancing the performance of
high-level vision tasks. While global spatial modeling mechanisms show
promising results, constru...
Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.
European heart journal. Acute cardiovascular care
Jul 9, 2025
Making data markets: Assetization, valuation, and proxy work in a digital health start-up.
Social studies of science
Jul 9, 2025
Digital data are increasingly framed as essential resources in health and medicine, implicating diverse actors who work to transform them into different forms of value. In this article we focus on the diverse and contingent valuation practices that s...
Leveraging machine learning models to evaluate immune infiltration in the ovarian cancer microenvironment: a single-cell analysis approach.
Discover oncology
Jul 9, 2025
BACKGROUND: The prognosis of ovarian cancer is closely related to the degree of immune cell infiltration within the tumor microenvironment. However, current methods for assessing immune infiltration have certain subjective limitations. This study aim...
Assessing Learned Models for Phase-only Hologram Compression
arXiv
Jul 9, 2025
We evaluate the performance of four common learned models utilizing INR and
VAE structures for compressing phase-only holograms in holographic displays.
The evaluated models include a vanilla MLP, SIREN, and FilmSIREN, with TAESD as
the representat...
Long-Term Prediction Model for Fuzzy Granular Time Series Based on Trend Filter Decomposition and Ensemble Learning.
IEEE transactions on cybernetics
Jul 9, 2025
In the realm of control theory, the complex task of long-term time series prediction has been profoundly transformed by the confluence of advancements in computer technology and machine learning. However, the application of fuzzy information granular...
Performance of ChatGPT on optometry and vision science exam questions.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Jul 9, 2025
The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for educators. While LLMs can generate convincing written responses across a wide range of academic fields...
Detection of focal impaired awareness seizures using a biometric shirt.
Epilepsia open
Jul 9, 2025
OBJECTIVE: In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic-clonic seizures. This study evaluates the f...
An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity.
Scientific reports
Jul 9, 2025
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public. This Knowledge is crucial for enhancing road safety and reducing congestion, as differe...
SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
arXiv
Jul 9, 2025
The growing demand for efficient knowledge graph (KG) enrichment leveraging
external corpora has intensified interest in relation extraction (RE),
particularly under low-supervision settings. To address the need for adaptable
and noise-resilient RE...
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