Artificial Intelligence Medical Compendium

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

Showing 181 to 190 of 156,985 articles

Multi-Stage BiSTU Network Combining BiLSTM and Transformer for ABP Waveform Prediction from PPG Signals.

Annals of biomedical engineering Jul 7, 2025
PURPOSE: Cardiovascular disease (CVD) remains a global health issue, and arterial blood pressure (ABP) waveforms provide critical physiological data that aid in the early diagnosis of CVD. However, existing pulse waveform evaluation methods are insuf...
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Spatio-temporal transformer and graph convolutional networks based traffic flow prediction.

Scientific reports Jul 7, 2025
Traffic flow prediction is a core component of intelligent transportation systems, providing accurate decision support for traffic management and urban planning. Traffic flow data exhibits highly complex spatiotemporal characteristics due to the intr...
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Deep learning based time-dependent reliability analysis of an underactuated lower-limb robot exoskeleton for gait rehabilitation.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jul 7, 2025
This study evaluates the reliability of an underactuated wearable lower-limb exoskeleton designed to assist with gait rehabilitation. Recognizing the complexity of system reliability, a deep learning framework augmented with Long short-term Memory (L...
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Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data.

Scientific reports Jul 7, 2025
Hybrid Grid System (HGS) installation in small and large residential area has major challenges due to domestic loads. Domestic loads are in different duty cycle such as (i) continuous duty i.e., vehicle charging, (ii) short time duty, (iii) periodic ...
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Information-Guided Diffusion Sampling for Dataset Distillation

arXiv Jul 7, 2025
Dataset distillation aims to create a compact dataset that retains essential information while maintaining model performance. Diffusion models (DMs) have shown promise for this task but struggle in low images-per-class (IPC) settings, where generat...
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Reviving the Past, Moving on to the Present, and Planning for the Future of Craniofacial Malformations.

The Journal of craniofacial surgery Jul 7, 2025
The malformed newborn with craniofacial anomalies was variously regarded in different civilizations. Some populations considered it a symbol of the presence of God, whereas others brutally eliminated it. Understanding of craniofacial malformations st...
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Application of neural network potentials to modelling transition states.

Chemical communications (Cambridge, England) Jul 7, 2025
Transition state modelling remains a challenge in computational chemistry, often requiring chemical intuition and expensive, iterative recalculations. This work presents a more efficient approach using umbrella sampling to explore free energy surface...
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AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics

arXiv Jul 7, 2025
Biomedical datasets often contain a large sample imbalance and are subject to strict privacy constraints, which together hinder the development of accurate machine learning models. One potential solution is to generate synthetic images, as this can...
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What can the machine teach us?

Intensive care medicine experimental Jul 7, 2025
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pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.

Health physics Jul 7, 2025
pyDOSEIA is a Python package designed for meteorological data processing and radiological impact assessment in diverse scenarios, including nuclear and radiological accidents. Built upon robust computational models and using modern programming techni...
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