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Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy
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medical imaging

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AI Video Generation Method for Cardiac MRI Addresses Data Scarcity with Latent Motion Modeling Technology
Artificial Intelligence #ai#video generation

AI Video Generation Method for Cardiac MRI Addresses Data Scarcity with Latent Motion Modeling

Researchers propose a generative method for synthesizing temporally coherent and anatomically consistent cardiac sequences from clinical text prompts. The model decouples spatial structure from temporal motion using a fine-tuned diffusion model and latent flow conditioning, achieving strong fidelity metrics. This approach addresses the scarcity of public cardiac MRI datasets.

Jun 16, 2026 1 source
GPU-Free AI Model UltraSeg Enables Real-Time Ultrasound Segmentation on CPUs Technology
Artificial Intelligence #ultrasound#segmentation

GPU-Free AI Model UltraSeg Enables Real-Time Ultrasound Segmentation on CPUs

UltraSeg, an ultra-lightweight AI architecture, enables real-time point-of-care ultrasound segmentation without GPU dependency. Running on single-core CPUs at up to 89.7 FPS, it matches or exceeds larger models like UNet, making AI diagnostics viable in resource-limited settings.

Jun 16, 2026 1 source
AI-driven Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs Technology
Artificial Intelligence #knee radiographs#lower-limb alignment

AI-driven Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs

Researchers propose a landmark-free automated workflow using Implicit Neural Shape Functions (INSF) to assess lower-limb alignment from knee radiographs. The method encodes anatomy into a compact latent space and regresses clinical measurements directly, achieving performance comparable to manual methods and state-of-the-art landmark-based approaches. Trained on 566 radiographs and tested on internal and external datasets, the approach offers flexibility for extension to new tasks.

Jun 16, 2026 1 source
EyeMVP AI Model Enhances Retinal Screening by Learning OCT Insights from Fundus Photos Technology
Artificial Intelligence #artificial intelligence#computer vision

EyeMVP AI Model Enhances Retinal Screening by Learning OCT Insights from Fundus Photos

Researchers developed EyeMVP, a cross-modal retinal foundation model that enriches color fundus photography (CFP) with depth-resolved information from optical coherence tomography (OCT). Pretrained on 674,893 paired images from 112,642 patients across eight Chinese hospitals, EyeMVP outperforms leading models on 16 downstream tasks including macular edema detection (AUROC 0.948 vs 0.852) and myopic macular schisis (0.825).

Jun 16, 2026 1 source
Deep Learning Automates Doppler Angle Estimation in Ultrasound, Reducing Measurement Errors Technology
Artificial Intelligence #deep learning#ultrasound

Deep Learning Automates Doppler Angle Estimation in Ultrasound, Reducing Measurement Errors

A deep learning approach developed using 2100 carotid ultrasound images can automatically estimate Doppler angle, reducing error. The best model achieved mean absolute error less than clinical threshold, potentially improving blood velocity measurements.

Jun 16, 2026 1 source