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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We present the case of a 65-year-old male with idiopathic pulmonary fibrosis who developed refractory status epilepticus secondary to hyperammonemia following lung transplant. The patient presented on postoperative day 7 with super-refractory status epilepticus and normal computed tomography scan of the head. Hyperammonemia was suspected due to refractory seizures and confirmed with peak ammonia level >1000 μmol/L. Despite aggressive treatment, the patient developed global cerebral edema and died. Postmortem investigations revealed that the patient was positive for Ureaplasma parvum. Additional studies are needed ...
Source: Indian Journal of Critical Care Medicine - Category: Intensive Care Authors: Source Type: research
Conclusion18F-FDG PET/CT and radiolabeled leucocyte scintigraphy single-photon emission computed tomography carry high performance in the diagnostic of LVAD infections.18F-FDG PET/CT shows significantly higher sensitivity and could be proposed as first-line nuclear medicine procedure.
Source: Journal of Nuclear Cardiology - Category: Nuclear Medicine Source Type: research
Authors: Gotti M, Chiumello D, Cressoni M, Guanziroli M, Brioni M, Safaee Fakhr B, Chiurazzi C, Colombo A, Massari D, Algieri I, Lonati C, Cadringher P, Taccone P, Pizzocri M, Fumagalli J, Rosso L, Palleschi A, Benti R, Zito F, Valenza F, Gattinoni L Abstract BACKGROUND: The leading cause of early mortality after lung transplantation is Primary Graft Dysfunction (PGD). We assessed the lung inflammation, inflation status and inhomogeneities after lung transplantation. Our purpose was to investigate the possible differences between patients who did or did not develop PGD. METHODS: We designed a prospective observ...
Source: Minerva Anestesiologica - Category: Anesthesiology Tags: Minerva Anestesiol Source Type: research
Abstract Mutations of the surfactant protein (SP)-C gene (SFTPC) have been associated with neonatal respiratory distress syndrome (RDS) and childhood interstitial lung disease (ILD). If accurate diagnosis and proper management are delayed, irreversible respiratory failure demanding lung transplantation may ensue. A girl was born at term but was intubated and given exogenous surfactant due to RDS. Cough and tachypnea persisted, and symptoms rapidly progressed at 16 months of age despite treatment with antibiotics, oral prednisolone, methylprednisolone pulse therapy, and intravenous immunoglobulin. At 20 months, she...
Source: J Korean Med Sci - Category: General Medicine Authors: Tags: J Korean Med Sci Source Type: research
Researchers from the U.K. have developed an artificial intelligence (AI) algorithm...Read more on AuntMinnie.comRelated Reading: AI can prescreen chest CT studies for pneumothorax AI can help distinguish lung nodules on CT scans AI, radiomics help distinguish lung nodules on CT scans Infervision debuts AI stroke screening software AI predicts dementia years before symptoms occur
Source: Headlines - Category: Radiology Source Type: news
An artificial intelligence (AI) algorithm can be highly sensitive for detecting...Read more on AuntMinnie.comRelated Reading: Big data for sale: A solution to spur AI research Summers: Radiologists shouldn't be intimidated by AI Education is needed to harness power of AI in radiology Google AI algorithm shows promise for chest x-rays AI can help distinguish lung nodules on CT scans
Source: Headlines - Category: Radiology Source Type: news
In this study, we proposed an imaging related parameter, that is, the ratio of injured lung volume fraction, for the prognosis evaluation of acute PQ poisoning based on the correlation between disease progress and lung imaging features. An artificial neural network was trained and then used to classify the injured and normal lung regions. The ratio of injured lung volume fraction was calculated from the injured lung volume fractions in the first and second CT scans after three-dimensional reconstruction. Parameters of blood tests were collected. A significant difference was observed with respect to the ratio of injured lun...
Source: Biomed Res - Category: Research Authors: Tags: Biomed Res Int Source Type: research
A deep-learning algorithm can transform low-resolution, thick-slice knee MR...Read more on AuntMinnie.comRelated Reading: Machine learning may identify medulloblastoma subtypes Is artificial intelligence ethical in healthcare? Deep learning may produce sharp reductions in DBT dose AI can help distinguish lung nodules on CT scans Can AI help in the fight against gadolinium deposition?
Source: Headlines - Category: Radiology Source Type: news
This study aimed to evaluate a reader-independent quantitative density metric (QDM) derived from CT histograms to associate with CLAD survival. A retrospective study evaluated CT scans corresponding to CLAD onset using pulmonary function tests in 74 patients (23 RAS, 51 BOS). Two different QDM values (QDM1 and QDM2) were calculated using CT lung density histograms. Calculation of QDM1 includes the extreme edges of the histogram. Calculation of QDM2 includes the central region of the histogram. Kaplan-Meier analysis and Cox regression analysis were used for CLAD prognosis. Higher QDM values were significantly associated wit...
Source: Clinical Lung Cancer - Category: Cancer & Oncology Authors: Tags: Clin Transplant Source Type: research
By ROBERT WACHTER and JEFF GOLDSMITH After a blizzard of hype surrounding the electronic health record (EHR), health professionals are now in full backlash mode against this complex new tool. They are rightly seen as a major cause of professional burnout among physicians and nurses: Clinicians are spending almost half their professional time typing, clicking, and checking boxes on electronic records. They can and must be made into useful, easy-to-use tools that liberate, rather than oppress, clinicians. Performing several tasks, badly. The EHR is a lot more than merely an electronic version of the patient&rs...
Source: The Health Care Blog - Category: Consumer Health News Authors: Tags: Uncategorized Source Type: blogs
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