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Total 123 results found since Jan 2013.
Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning
CONCLUSION: The ischemic core volumes calculated by the described ML approach on NCCT approximate those obtained by MRI in patients with AIS who present beyond 1 hour from stroke onset.PMID:36572984 | DOI:10.1177/15910199221145487
Source: Interventional Neuroradiology - December 27, 2022 Category: Radiology Authors: Iris E Chen Brian Tsui Haoyue Zhang Joe X Qiao William Hsu May Nour Noriko Salamon Luke Ledbetter Jennifer Polson Corey Arnold Mersedeh BahrHossieni Reza Jahan Gary Duckwiler Jeffrey Saver David Liebeskind Kambiz Nael Source Type: research
Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease
Stroke is a major cause of death or disability. As imaging-based patient stratification improves acute stroke therapy, dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is of major interest in image brain perfusion. However, expert-level perfusion maps require a manual or semi-manual post-processing by a medical expert making the procedure time-consuming and less-standardized. Modern machine learning methods such as generative adversarial networks (GANs) have the potential to automate the perfusion map generation on an expert level without manual validation. We propose a modified pix2pix GAN with a tempo...
Source: Frontiers in Neurology - January 10, 2023 Category: Neurology Source Type: research
MRI for all: Cheap portable scanners aim to revolutionize medical imaging
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The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing.
The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics Source Type: research
IS 39. Enhanced visuo-spatial and language learning with tDCS
Efficacy and effectiveness of training in conditions like chronic post-stroke aphasia or neglect, or neurodegenerative disorders like mild cognitive impairment (MCI) and Alzheimer’s disease, remain moderate only. Thus, novel strategies to enhance training success and overall behavioural outcome are urgently needed. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation tool that is now being widely used in neuroscientific and clinical research in humans, modulating cortical excitability by application of weak electrical currents in the form of direct current brain polarization.In a series of st...
Source: Clinical Neurophysiology - September 1, 2013 Category: Neuroscience Authors: A. Flöel, W. Suttorp, M. Meinzer, C. Breitenstein Tags: Society Proceedings Source Type: research
Full circle: From moyamoya patient to intern
It’s the last day of Justin Doo’s research internship in the Department of Neurology at Boston Children’s Hospital and he’s eager to join the team for a celebratory scoop of ice cream at JP Licks. Before he leaves, he meets with his supervisor, Dr. Laura Lehman — but they both know this isn’t a final goodbye. The 18-year-old will see Dr. Lehman again within the year, because he isn’t just her intern. He’s also her patient.
Unlike most summer interns, Justin has already spent plenty of time at Boston Children’s — more than a decade, in fact. When he was 7 years old, his parents brought him to the hospita...
Source: Thrive, Children's Hospital Boston - August 29, 2017 Category: Pediatrics Authors: Jessica Cerretani Tags: Diseases & Conditions Our Patients’ Stories Dr. Darren Orbach Dr. Edward Smith Dr. Laura Lehman Dr. Michael Scott moyamoya Moyamoya Disease Program Pial Synangiosis Source Type: news
Korean JLK Inspection launches AI-powered imaging diag system
Korean JLK Inspection said yesterday that it launched its AIHub artificial intelligence-powered medical image diagnostics platform.
The newly launched AIHub system is designed to analyze images from a number of different imaging modalities, including magnetic resonance imaging, computed tomography, X-ray and mammography, the Seoul-based company said.
JLK Inspection claims the system can detect and monitor for more than 30 medical conditions in 14 regions of the body. The company added that the system is focused on brain diseases and conditions including ischemic stroke, hemorrhagic stroke, brain aneurysm and Alzheimer̵...
Source: Mass Device - December 27, 2018 Category: Medical Devices Authors: Fink Densford Tags: Diagnostics Imaging Software / IT jlkinspection Source Type: news
Neuroimaging and Neurolaw: Drawing the Future of Aging
Vincenzo Tigano1, Giuseppe Lucio Cascini2, Cristina Sanchez-Castañeda3, Patrice Péran4 and Umberto Sabatini5*
1Department of Juridical, Historical, Economic and Social Sciences, University of Magna Graecia, Catanzaro, Italy
2Department of Experimental and Clinical Medicine, University of Magna Graecia, Catanzaro, Italy
3Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
4ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
5Department of Medical and Surgical Sciences, University of Magna Graecia, Catanzaro, ...
Source: Frontiers in Endocrinology - April 7, 2019 Category: Endocrinology Source Type: research
Morphological and Whole-Word Semantic Processing Are Distinct: Event Related Potentials Evidence From Spoken Word Recognition in Chinese
In conclusion, the present study provides electrophysiological evidence of the dissociation of morphological and whole-word semantic processing in Chinese spoken word processing. The results identified a central-anterior morphological N400 effect when morphemic meaning conflicts with whole-word semantics, in addition to a classic semantic N400 effect with significantly reduced amplitude in central-parietal areas. Our results also showed that the morphological N400 effect is negatively correlated with reading ability. These results demonstrate the important role of morphological processing in Chinese spoken word recognition...
Source: Frontiers in Human Neuroscience - April 16, 2019 Category: Neuroscience Source Type: research
How AI Can Predict Heart Attacks and Strokes
Artificial intelligence is making its way into health care, and one of its first stops is making sense of all of those scans that doctors order. Already, studies have shown that AI-based tools can, in some cases, pick out abnormal growths that could be cancerous tumors better than doctors can, mainly because digesting and synthesizing huge volumes of information is what AI does best.
In a study published Feb. 14 in Circulation, researchers in the U.K. and the U.S. report that an AI program can reliably predict heart attacks and strokes. Kristopher Knott, a research fellow at the British Heart Foundation, and his team condu...
Source: TIME: Health - February 14, 2020 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Artificial Intelligence Heart Disease Source Type: news
Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography Angiography
Conclusion: Radiomics-based ML analysis improves the discriminatory power of carotid CTA in the identification of recent ischemic symptoms in patients with carotid artery atherosclerosis.Cerebrovasc Dis
Source: Cerebrovascular Diseases - March 8, 2022 Category: Neurology Source Type: research
Optimization of machine learning method combined with brain-computer interface rehabilitation system
Conclusion] The images based on Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS) index improvement, and functional Magnetic Resonance Imaging (fMRI) show that the sensory region of brain movement has become a concentrated activation phenomenon. Besides strengthening the feature extraction method also lets the elbow has an obvious recovery effect.PMID:35527849 | PMC:PMC9057683 | DOI:10.1589/jpts.34.379
Source: Physical Therapy - May 9, 2022 Category: Physiotherapy Authors: Chi-Hung Wang Kuo-Yu Tsai Source Type: research
How AI Is Changing Medical Imaging to Improve Patient Care
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss.
Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of...
Source: TIME: Health - November 4, 2022 Category: Consumer Health News Authors: Alice Park and Video by Andrew D. Johnson Tags: Uncategorized Frontiers of Medicine 2022 healthscienceclimate Innovation sponsorshipblock Source Type: news
