Artificial Intelligence Medical Compendium

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

Showing 231 to 240 of 156,985 articles

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer

arXiv Jul 7, 2025
We introduce DC-AR, a novel masked autoregressive (AR) text-to-image generation framework that delivers superior image generation quality with exceptional computational efficiency. Due to the tokenizers' limitations, prior masked AR models have lag...
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Feature selection using metaheuristics to predict annual amyotrophic lateral sclerosis progression.

Amyotrophic lateral sclerosis & frontotemporal degeneration Jul 7, 2025
OBJECTIVE: Amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease with no curative treatment and affecting motor neurons, leads to motor weakness, atrophy, spasticity and difficulties with speech, swallowing, and breathing. Accu...
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Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods

arXiv Jul 7, 2025
Brain tumor resection is a complex procedure with significant implications for patient survival and quality of life. Predictions of patient outcomes provide clinicians and patients the opportunity to select the most suitable onco-functional balance...
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PolSAR image classification using shallow to deep feature fusion network with complex valued attention.

Scientific reports Jul 7, 2025
Polarimetric Synthetic Aperture Radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. Extracting meaningful features from PolSAR data poses challenges distin...
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Machine Learning Identifies Sexual Behavior Subgroups Among Men Who Have Sex with Men in Switzerland.

Archives of sexual behavior Jul 7, 2025
Sexual behavior is heterogeneous and dynamic. Characterization of such complexity constitutes evidence for public health authorities and caregivers concerned with the framing of sexual health messages aimed at specific subgroups. We developed a machi...
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Kalman Filter Aided Federated Koopman Learning

arXiv Jul 7, 2025
Real-time control and estimation are pivotal for applications such as industrial automation and future healthcare. The realization of this vision relies heavily on efficient interactions with nonlinear systems. Therefore, Koopman learning, which le...
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Harnessing technology for hope: a systematic review of digital suicide prevention tools.

Discover mental health Jul 7, 2025
This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile applications, artificial intelligence (AI), and digital psychotherapy. Apps with cognitive behavioural therapy (CBT) and crisis help worked well, but t...
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Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness

arXiv Jul 7, 2025
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, including high computational costs and performance deficits in general c...
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Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology Jul 7, 2025
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...
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TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation

arXiv Jul 7, 2025
Video Frame Interpolation (VFI) aims to predict the intermediate frame $I_n$ (we use n to denote time in videos to avoid notation overload with the timestep $t$ in diffusion models) based on two consecutive neighboring frames $I_0$ and $I_1$. Recen...
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