Can AI learn how to understand radiologist reports?

Can artificial intelligence (AI) technology learn how to understand radiologist...Read more on AuntMinnie.comRelated Reading: AI, radiomics help distinguish lung nodules on CT scans AI-based chatbot answers routine radiology questions AI's role in radiology evolving toward a promising future Machine learning could reduce inappropriate knee MRI scans Can radiology ever be more like widget manufacturing?
Source: Headlines - Category: Radiology Source Type: news

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Conclusion: This prospective multicenter study provides information on the current incidence and outcome of IFD in the real life setting. Practice variation between the centers may help to ultimately improve antifungal management in children at highest risk for IFDs. Introduction Available data on the incidence and outcome of invasive fungal diseases (IFD) in children treated for a hematological malignancy or undergoing allogeneic hematopoietic stem cell transplantation (HSCT) are mostly based on single site, retrospective studies or on studies performed prior to the availability of newer compounds such as broad-sp...
Source: Frontiers in Microbiology - Category: Microbiology Source Type: research
How do you create a smart algorithm? Where and how do you get the data for it? What do you need for a pattern recognizing program to work well and what are the challenges? Nowadays, everyone seems to be building artificial intelligence-based software, also in healthcare, but no one talks about one of the most important aspects of the work: data annotation and the people who are undertaking this time-consuming, rather monotonous task without the flare that usually encircles A.I. Without their dedicated work, it is impossible to develop algorithms, so we thought it is time to sing an ode to the superheroes of algorithm devel...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine Future of Medicine AI algorithm annotation data data annotation doctor Health Healthcare physician smart algorithm technology Source Type: blogs
This study had a retrospective multicenter (two hospitals in China) design and a radiomic analysis was performed using contrast enhanced CT in advanced HGSOC (FIGO stage III or IV) patients. We used a minimum 18-month follow-up period for all patients (median 38.8 months, range 18.8–81.8 months). All patients were divided into three cohorts according to the timing of their surgery and hospital stay: training cohort (TC) and internal validation cohort (IVC) were from one hospital, and independent external validation cohort (IEVC) was from another hospital. A total of 620 3-D radiomic features were extracted and a Lass...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Ryan R. Kelly1,2†, Lindsay T. McDonald1,2†, Nathaniel R. Jensen1,2, Sara J. Sidles1,2 and Amanda C. LaRue1,2* 1Research Services, Ralph H. Johnson VA Medical Center, Charleston, SC, United States 2Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States The significant biochemical and physiological effects of psychological stress are beginning to be recognized as exacerbating common diseases, including osteoporosis. This review discusses the current evidence for psychological stress-associated mental health disorders as risk factors for os...
Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research
Background. Differential diagnosis of phenotypes of chronic lung allograft dysfunction (CLAD) remains troublesome. We hypothesized that 18F-fluorodeoxyglucose positron emission tomography with computed tomography (18F-FDG PET/CT) may help in differential diagnosis of CLAD phenotypes, as it showed promising results regarding diagnosis and prognosis in interstitial lung diseases. Methods. A monocentric, retrospective study was performed including all lung transplant recipients suffering from bronchiolitis obliterans syndrome (BOS) or restrictive allograft syndrome (RAS) who underwent 18F-FDG PET/CT scan, in comparison w...
Source: Transplantation - Category: Transplant Surgery Tags: Original Clinical Science—General Source Type: research
Rayfield Byrd knows when it’s time to wake up every morning. The 68-year-old Oakland, Cal., resident hears a voice from the living room offering a cheery good morning. Except Byrd lives alone. A little after 8 a.m. each day, a small yellow robot named Mabu asks Byrd how he’s doing. Byrd has Type 2 diabetes and congestive heart failure, and about three years ago, he had surgery to implant a microvalve in his heart to keep his blood flowing properly. To stay healthy, he takes four medications a day and needs to exercise regularly. To make sure his heart is still pumping effectively, his doctor needs to stay on to...
Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized Artificial Intelligence Life Reinvented medicine Source Type: news
Right ventricular failure (RVF) after LVAD implantation remains difficult to predict pre-operatively. As right heart failure is associated with muscle wasting, we hypothesized pectoralis muscle tissue attenuation quantified on pre-operative CT scans would enhance the prediction of RVF after LVAD implantation.
Source: The Journal of Heart and Lung Transplantation - Category: Transplant Surgery Authors: Tags: 24 Source Type: research
As skeletal muscle mass and quality decrease with heart failure progression, we hypothesized that pectoralis muscle mass and tissue attenuation measured on pre-left ventricular assist device (LVAD) CT scans would add meaningful heart failure severity stratification beyond INTERMACS profile alone.
Source: The Journal of Heart and Lung Transplantation - Category: Transplant Surgery Authors: Tags: 243 Source Type: research
We have previously shown that pectoralis muscle mass and tissue attenuation obtained on preoperative CT scans were powerful predictors of mortality after LVAD implantation using single center data. This analysis confirms those findings in a separate LVAD dataset and presents a novel prediction model developed across centers.
Source: The Journal of Heart and Lung Transplantation - Category: Transplant Surgery Authors: Tags: 242 Source Type: research
Percutaneous driveline infection is a major complication after left ventricular assist device (LVAD) implantation, causing pump infection. Therefore, the precise diagnosis and evaluation of driveline infection are important. Recently, Fluor-18-fluorodeoxyglucose positron emission tomography is used for diagnosis of LVAD-specific and related infections. However, the role of Gallium-67 single-photon emission computed tomography (Ga-SPECT)-CT has not been fully elucidated. We investigated whether Ga-SPECT-CT predicts outcomes of patients with LVAD-specific percutaneous driveline infection.
Source: The Journal of Heart and Lung Transplantation - Category: Transplant Surgery Authors: Tags: 790 Source Type: research
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