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Deep-learning CT model effective for detecting head abnormalities
A deep-learning CT model can detect head abnormalities in 17 different regions...Read more on AuntMinnie.comRelated Reading: Deep learning plus CT helps guide head and neck cancer treatment Using AI with prior LDCT exams improves lung nodule risk assessment Can AI body composition analysis predict mortality risk on LDCT? AI plus CT improves cirrhosis prediction in liver disease patients CT radiomics can help in predicting outcomes in stroke patients
Source: AuntMinnie.com Headlines - August 22, 2023 Category: Radiology Source Type: news

Rapid MRI protocol leads to reduced image acquisition times
A rapid lumbar MRI protocol that uses 3D imaging and deep learning reconstructio...Read more on AuntMinnie.comRelated Reading: Reducing use of sedation for pediatric MRI cuts healthcare costs Ultrafast MRI shows promise in predicting DCIS upstaging Ultrafast DCE-MRI helps predict breast cancer treatment response Is abbreviated MRI useful for women at average breast cancer risk? Rapid MRI for ED stroke evaluation cuts costs, hospital length of stay
Source: AuntMinnie.com Headlines - January 6, 2023 Category: Radiology Source Type: news

NaF-PET reveals aortic wall injuries
PET imaging with F-18 sodium fluoride (NaF) can detect activity related to tear...Read more on AuntMinnie.comRelated Reading: NaF-PET scans reveal plaque -- and possible risk of stroke Viz.ai to add Avicenna.ai software to platform NaF-PET/CT does well in detecting prostate metastases NaF-PET/CT rarely finds prostate cancer bone metastases Can deep learning monitor lesions on F-18 NaF PET/CT?
Source: AuntMinnie.com Headlines - March 22, 2022 Category: Radiology Source Type: news

CAFT: a deep learning-based comprehensive abdominal fat analysis tool for large cohort studies
CONCLUSIONS: DL-based, comprehensive SSAT, DSAT, and VAT analysis tool showed high accuracy and reproducibility and provided a comprehensive fat compartment composition analysis and visualization in less than 10 s.PMID:34338926 | DOI:10.1007/s10334-021-00946-9
Source: Magma - August 2, 2021 Category: Radiology Authors: Prakash Kn Bhanu Channarayapatna Srinivas Arvind Ling Yun Yeow Wen Xiang Chen Wee Shiong Lim Cher Heng Tan Source Type: research

Machine learning boosts chest CT's performance
Machine learning-based CT texture analysis software improves reader accuracy...Read more on AuntMinnie.comRelated Reading: AI can quantify hematoma in hemorrhagic stroke patients Large study confirms value of CT lung cancer screening CT radiation doses for COVID-19 patients vary widely CT lung screening scans also work for bone density CT lung screening program falls short in China
Source: AuntMinnie.com Headlines - November 18, 2020 Category: Radiology Source Type: news

CT radiomics predicts esophageal cancer outcomes
Machine-learning models that assess both peritumoral and intratumoral radiomics...Read more on AuntMinnie.comRelated Reading: PET radiomics tailor head/neck cancer treatment CT radiomics can predict COVID-19 pneumonia outcomes AI, radiomics can predict stroke treatment success Can radiomics improve CT lung cancer screening? AI can predict if COVID-19 patients will need ventilators
Source: AuntMinnie.com Headlines - September 11, 2020 Category: Radiology Source Type: news

Double-contrast technique could boost MRI for cancer
A new double-contrast MRI technique in development could help the modality...Read more on AuntMinnie.comRelated Reading: COVID-19 neuro findings marked by mental status, stroke fMRI-based machine learning helps predict coma outcomes ISMRM annual meeting goes virtual MRI illuminates neurologic manifestations of COVID-19 MRI could help predict efficacy of stem cell therapy
Source: AuntMinnie.com Headlines - May 28, 2020 Category: Radiology Source Type: news

Screening mammography beyond breast cancer: breast arterial calcifications as a sex-specific biomarker of cardiovascular risk
ConclusionsThere is a strong rationale for mammography to become a dual test for breast cancer screening and CV disease prevention. However, robust and automated quantification methods are needed for a deeper insight on the association between BAC and CV disease, to stratifying CV risk and define personalized preventive actions.Graphical abstract
Source: European Journal of Radiology - August 12, 2019 Category: Radiology Source Type: research

Singapore firm, Stanford team up on AI for liver cancer
Genomic medicine company Lucence Diagnostics has launched a joint effort with...Read more on AuntMinnie.comRelated Reading: Stanford launches huge dataset of chest x-rays for AI New PET tracer could aid melanoma detection AI could bring ultralow-dose imaging to amyloid PET AI may help in fight against gadolinium deposition Machine learning can predict stroke treatment outcomes
Source: AuntMinnie.com Headlines - March 12, 2019 Category: Radiology Source Type: news

Ultrasound imaging gauges muscle tightness after stroke
Ultrasound strain imaging can be an effective tool for assessing poststroke...Read more on AuntMinnie.comRelated Reading: MRI links lifestyle factors to stroke, dementia risk 5 risk factors help predict brain hemorrhage on CT AI algorithm can triage head CT exams for urgent review Ultrasound elastography helps identify invasive breast cancer AIUM: Can deep learning classify liver fibrosis on US?
Source: AuntMinnie.com Headlines - August 22, 2018 Category: Radiology Source Type: news