Search Tag: deep learning
Implementing-dlr-in-mri-routines-could-lead-to-substantial-costs-savings
2024 25 Mar
As of January 2023, Finland's public healthcare sector has restructured its wellbeing services counties, including Northern Ostrobothnia, under stringent financial limits. Authors reported in the European Journal of Radiology their experience in their hospital, the largest in this region serving 416,000 residents, faces challenges in optimising...Read more
Implementing-dlr-in-mri-routines-could-lead-to-substantial-costs-savings
2024 25 Mar
As of January 2023, Finland's public healthcare sector has restructured its wellbeing services counties, including Northern Ostrobothnia, under stringent financial limits. Authors reported in the European Journal of Radiology their experience in their hospital, the largest in this region serving 416,000 residents, faces challenges in optimising...Read more
Implementing-dlr-in-mri-routines-could-lead-to-substantial-costs-savings
2024 25 Mar
As of January 2023, Finland's public healthcare sector has restructured its wellbeing services counties, including Northern Ostrobothnia, under stringent financial limits. Authors reported in the European Journal of Radiology their experience in their hospital, the largest in this region serving 416,000 residents, faces challenges in optimising...Read more
Deep-learning-pet-imaging-model-for-lymphoma-shows-clinical-potential
2024 19 Mar
The global demand for imaging tests to assess cancer is increasing, but there's a shortage of imaging specialists, particularly in low and middle-income countries. This leads to delays in scan reporting and patient management. Artificial intelligence (AI) using deep neural networks (DNNs) could help handle high scan volumes while maintaining diagnostic...Read more
Deep-learning-pet-imaging-model-for-lymphoma-shows-clinical-potential
2024 19 Mar
The global demand for imaging tests to assess cancer is increasing, but there's a shortage of imaging specialists, particularly in low and middle-income countries. This leads to delays in scan reporting and patient management. Artificial intelligence (AI) using deep neural networks (DNNs) could help handle high scan volumes while maintaining diagnostic...Read more
Deep-learning-approach-for-detecting-heart-defects-in-newborns
2024 18 Mar
When newborns take their first breath, a complex series of physiological adjustments unfold: their lungs inflate, blood vessels expand, and the entire circulatory system adapts to the new environment. However, this transition doesn't always proceed smoothly. In cases of pulmonary hypertension, particularly prevalent among sick or premature newborns,...Read more
Equity-in-deep-learning-medical-applications-leveraging-the-gerchberg-saxton-algorithm
2024 06 Mar
Deep learning (DL) has become important in healthcare for its role in early diagnosis, treatment identification, and patient outcome predictions. However, due to varied medical practices and inconsistent data collection, DL may worsen biases and distort estimates. For instance, sampling bias challenges the effectiveness and applicability of statistical...Read more
Deep-learning-model-predicts-subsequent-short-term-hip-fractures
2024 08 Feb
A study published in Radiology dwells into the efficacy of a sophisticated deep learning model in accurately predicting short-term subsequent fractures in patients who have recently experienced a hip fracture. This innovative approach utilises digitally reconstructed radiographs obtained from three-dimensional hip CT scans, demonstrating remarkable...Read more
Deep-learning-model-predicts-subsequent-short-term-hip-fractures
2024 08 Feb
A study published in Radiology dwells into the efficacy of a sophisticated deep learning model in accurately predicting short-term subsequent fractures in patients who have recently experienced a hip fracture. This innovative approach utilises digitally reconstructed radiographs obtained from three-dimensional hip CT scans, demonstrating remarkable...Read more
Novel-imaging-technique-offers-precise-prediction-of-lymph-node-metastasis-in-pancreatic-tumours
2024 07 Feb
A groundbreaking study has introduced a pioneering method to predict lymph node metastasis (LNM) in patients with non-functional pancreatic neuroendocrine tumours (NF-PanNETs), aiding in tailored treatment strategies and enhancing patient outcomes. Recently published in eClinicalMedicine, the research team from the University of Tsukuba harnessed...Read more
Novel-imaging-technique-offers-precise-prediction-of-lymph-node-metastasis-in-pancreatic-tumours
2024 07 Feb
A groundbreaking study has introduced a pioneering method to predict lymph node metastasis (LNM) in patients with non-functional pancreatic neuroendocrine tumours (NF-PanNETs), aiding in tailored treatment strategies and enhancing patient outcomes. Recently published in eClinicalMedicine, the research team from the University of Tsukuba harnessed...Read more
Ai-tool-for-early-detection-of-pancreatic-cancer-earns-the-2023-alexander-r-margulis-award
2023 08 Nov
The 2023 Alexander R. Margulis Award for the best original scientific article published in Radiology has been awarded to researchers of the article “Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study”. The team created an AI tool and trained it by analysing hundreds of contrast-enhanced CT studies...Read more
Dr-ehsan-samei-ph-d-joins-imalogix-as-chief-scientific-advisor
2023 09 May
Imalogix, an industry leader in deep learning AI for imaging, announced that world renowned radiology leader and clinical researcher Dr. Ehsan Samei has joined the Imalogix team as its Chief Scientific Advisor. Dr. Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE, FIOMP, FACR is the Reed and Martha Rice Distinguished Professor of Radiology at Duke...Read more
Data-science-in-modern-healthcare
2022 13 Sep
Data science has brought forth many exciting advancements in healthcare; however, it is important to recognise what data science is and how we can continue to use it to positively advance healthcare Key Points Data science is an intersection of computer science, mathematics, and domain expertise. Artificial intelligence encompasses...Read more
Dicom-metadata-a-useful-resource-for-big-data-analytics
2022 13 Sep
This article provides an overview of new ways to represent data combining patient access and DICOM information, advanced use of medical imaging metadata, analysis of radiation dose and image segmentation and deep learning for feature engineering to enrich data. Introduction Data is the world’s most valuable resource and it is possible...Read more
Dicom-metadata-a-useful-resource-for-big-data-analytics
2022 13 Sep
This article provides an overview of new ways to represent data combining patient access and DICOM information, advanced use of medical imaging metadata, analysis of radiation dose and image segmentation and deep learning for feature engineering to enrich data. Introduction Data is the world’s most valuable resource and it is possible...Read more
J-p-morgan-41st-annual-healthcare-conference-jpm-2023
2023 09 Jan
Find J.P. Morgan Chase & Co. on Social Media Read more
A-bold-new-world-ge-healthcares-pioneering-deep-learning-image-reconstruction-technology
2022 06 May
Artificial intelligence (AI) and healthcare access remain key themes at ISMRM as researchers and clinicians seek more efficient and effective solutions in today’s resource-constrained environment GE Healthcare highlights the continued expansion of its state-of-the-art AIR Recon DL technology across the totality of its 1.5T, 3.0T and 7.0T MR product...Read more
Deep-learning-with-whole-body-mri-recognises-diabetes
2021 30 Oct
Obesity is associated with diabetes, but there are metabolically healthy individuals with excess body fat and others with normal body weight who develop insulin resistance. The key risk factor is fat distribution. Individuals who accumulate deep abdominal and visceral fat are more likely to develop insulin resistance than individuals with subcutaneous...Read more
Deep-learning-reduces-need-for-gadolinium-contrast
2021 26 Oct
Gadolinium-based contrast agents (GBCAs), used during MRI scans, enhance brain tissue contrast. GBCAs are crucial for brain tumour care because they highlight areas with abnormal blood-brain barrier permeability that tumours cause. This permits monitoring of treatment response and also guide surgical tumour removal. Disadvantages to using GBCAs include...Read more
Automated-triaging-of-mris-rules-out-cancer-in-dense-breasts
2021 08 Oct
Mammography provides early detection when breast cancer treatments are more successful. Unfortunately, mammography is less sensitive in women with dense than with fatty breast tissue. This is unfortunate because the breast cancer risk is three- to six times higher in dense rather than fatty breast tissue and two times higher than that of the average...Read more
Ai-for-microscopy-images
2021 25 Apr
Analysing microscopy images has just become easier with a new, freely available artificial intelligence platform. You might also like: Smartphones are becoming an indelible part of everyday life and also finding their way into healthcare. A new study explores the challenges and opportunities of their applications in biomedical...Read more
Nlp-ehr-automatic-detection-of-adverse-drug-reactions
2021 07 Mar
A group of Spanish researchers present the results of their work on applying natural language processing (NLP) techniques for electronic health record analysis and specific data extraction. You might also like: A vendor-neutral, open-source, natural language approach of EHR data is suggested by a team of U.K. researchers, to help...Read more
Dl-vs-ml-in-biomedical-research
2021 14 Jan
Deep learning models are more efficient at discerning patterns and discriminative features in brain imaging than standard machine learning models, a new study shows ( Abrol A et al. 2021) . You might also like: Radiomics in the Imaging of Brain Gliomas: Current Role and Future Perspectives Researchers at the Center...Read more
Machine-learning-and-covid-19-management
2021 14 Jan
A new systematic review (Syeda et al. 2021) analyses artificial intelligence (AI) -based methods utilised to tackle the pandemic and provides insights into different COVID-19 themes. You might also like: AI Tool Helps to Reduce COVID-19 Mortality Since the onset of the COVID-19 pandemic, many healthcare organisations have...Read more
How-data-intelligence-will-be-crucial-for-predicting-the-next-pandemic
2020 28 Sep
Artificial intelligence developments in machine and deep learning are benefitting from the experience of COVID-19 to pave the way for future pandemic outbreaks. Key Points The generalised use of big data in healthcare implies a revolution that is reshaping the industry as we know it. Artificial intelligence...Read more
3d-brain-modelling-by-hiball
2020 26 Jun
A new collaboration between German and Canadian institutions has been launched with a goal to develop a high-resolution 3D map of functional neuroanatomy using artificial intelligence and high-performance computing. You might also like: AI in medical imaging may make the biggest impact in healthcare The new...Read more
Ai-and-ct-distinguish-covid-19-from-pneumonia
2020 24 Mar
In a paper published in the journal Radiology, Chinese researchers propose that a 3D-deep learning model can be used for detecting coronavirus disease 2019 (COVID-19) from chest CT images. You might also like : COVID-19 Will Revolutionise Imaging Practices The model, known as COVID-19 detection neural network (COVNet), is able...Read more
Children-in-the-spotlight-when-every-second-counts
2020 09 Mar
The University Hospital of the Free University of Brussels (UZ Brussel) in Belgium is pioneering the use of real-time deep learning-based image reconstruction (DLIR) on CT scan, exploring the benefits it offers for rapid pediatric evaluation, including lower dose and enhanced efficiency. In healthcare, it is acknowledged that...Read more