Artificial Intelligence Medical Compendium

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

Showing 30,621 to 30,630 of 220,100 articles

Commercial AI Model Diagnostic Accuracy for Intracranial Large- and Medium-Vessel Occlusion in Emergency CT Angiography.

Radiology. Artificial intelligence
The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracranial large-and medium-vessel occlusion (LVO/MeVO) detection on head-and-neck CT angiography (CTA), was evaluated in a multicenter emergency setting. A ... read more 

MRI-Guided High-Intensity Focused Ultrasound in Movement Disorders: Targeting Pathologic Brain Circuits With Precision Imaging, From the AJR Special Series on Critical Anatomy.

AJR. American journal of roentgenology
MRI-guided high-intensity focused ultrasound (MRgHIFU) has emerged as an alternative to other neuromodulatory interventions for patients with medically refractory movement disorders, including open surgery, radiosurgery, and deep brain stimulation. M... read more 

Recent Advances in Analytical Techniques for Cancer Diagnostics and Therapeutics: Combining State-of-the-Art Technologies for Precision Oncology.

Critical reviews in analytical chemistry
Cancer remains a leading global health challenge, necessitating continuous advancements in diagnostics and therapeutics to enhance patient outcomes. According to the recent data of the American Cancer Society, an estimated 20 million new cancer cases... read more 

Multimodal Machine Learning for Diabetic Peripheral Neuropathy Diagnosis: Methodological Advances and Future Directions.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Unveiling the Disproportionate Impact of Nitrogen Deposition on Aquatic Nutrient Loading and Greenhouse Gas Emissions.

Environmental science & technology
Existing research has confirmed that nitrogen deposition is a key source of nutrient input in watersheds, but its contribution to riverine carbon, nitrogen loads, and aquatic greenhouse gas (GHG) emissions has not been thoroughly quantified. By devel... read more 

Integrating Machine Learning Tools in Protein Design: A Case of MHETase Engineering for PET Biodeconstruction.

Protein engineering, design & selection : PEDS
The integration of machine learning tools into protein engineering offers substantial promise, yet linking computational predictions to experimental performance remains challenging. Here, we applied accessible computational platforms to engineer Ideo... read more 

Recent Advances in Transducers for Through-Tissue Ultrasonic Power Transfer.

Progress in biomedical engineering (Bristol, England)
Ultrasonic power transfer (UPT) is gaining traction for wireless energy delivery to implants and wearables because it combines centimeter-scale penetration with compact receivers. This review takes a transducer-centric view of UPT and organizes the f... read more 

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time.

eLife
idTracker and idtracker.ai approach multi-animal tracking from video as an image classification problem. For this classification, both rely on segments of video where all animals are visible to extract images and their identity labels. When these seg... read more 

In Vitro Biological Neuronal Networks Achieve Low-Power Consumption and High-Speed Communication through Predictable Stimulation.

ACS sensors
Biological neural networks (BNNs) promise low-power consumption and massive parallelism, offering a plausible route toward truly bio-derived intelligence beyond conventional AI frameworks. However, their computational principles remain poorly underst... read more