AI predicts lung cancer survival from CT scan data

Harvard researchers have developed an artificial intelligence (AI) algorithm...Read more on AuntMinnie.comRelated Reading: AI malware deceives radiologists with fake tumors on CT AI reliably characterizes pulmonary nodules on CT AI spots lung nodules on CT, with low false-positive rate New AI algorithm identifies small lung tumors on CT scans NIH issues huge database of CT scans for AI testing
Source: Headlines - Category: Radiology Source Type: news

Related Links:

Smoke-measuring smart shirts, breath sound analyzing algorithms, and smart inhalers pave the way of pulmonology and respiratory care into the future. As the number of patients suffering from asthma, COPD, or lung cancer due to rising air pollution and steady smoker-levels will unfortunately not decrease any time soon, we looked around what technology can do to help both patients and caregivers. The results are breathtaking. Attacks of breathlessness are too common The diseases which pulmonologists and respiratory care specialists attempt to fight are among the most common conditions in the modern world – and t...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence Future of Medicine Health Sensors & Trackers AI asthma cancer cancer treatment care COPD diagnostics inhaler lung lung cancer management medical specialty pulmonology respiratory respiratory care Source Type: blogs
This study investigated the noninvasive assessment of tumor vascularization with clinical F-18-fluorodeoxyglucose positron emission tomography/computed tomography and contrast-enhanced computed tomography ([18F]FDG-PET/CT and CE-CT) in experimental human xenograft tumors with modifiable vascularization and compared results to histology. Tumor xenografts with modifiable vascularization were established in 71 athymic nude rats by subcutaneous transplantation of human non-small-cell lung cancer (NSCLC) cells. Four different groups were transplanted with two different tumor cell lines (either A549 or H1299) alone or tumors co-...
Source: EJNMMI Research - Category: Radiology Source Type: research
CONCLUSIONS: Several potential prognostic biomarkers of PET/CT imaging have been extracted for predicting survival and selecting patients with NSCLC who are more likely to benefit from chemotherapy. The identification may accelerate the development of AI methods to improve treatment outcome for NSCLC. PMID: 31144578 [PubMed - in process]
Source: Molecular Imaging - Category: Radiology Tags: Mol Imaging Source Type: research
An artificial intelligence (AI) algorithm can improve radiologists' performance...Read more on AuntMinnie.comRelated Reading: The top 4 priorities for AI research in medical imaging Google AI accurately assesses CT lung screening scans Radiology is leading by example when it comes to AI AI predicts lung cancer survival from CT scan data AI firm Infervision scores $47M in funding
Source: Headlines - Category: Radiology Source Type: news
Artificial intelligence may help doctors make more accurate readings of CT scans used to screen for lung cancer.
Source: NYT Health - Category: Consumer Health News Authors: Tags: Artificial Intelligence Computers and the Internet Tests (Medical) Lungs Tse, Daniel Computerized Axial Tomography (CAT Scans) Lung Cancer Google Inc your-feed-healthcare Source Type: news
(Northwestern University) Artificial intelligence was able to detect malignant lung nodules on low-dose chest computed tomography scans with a performance meeting or exceeding that of expert radiologists, reports a new study from Google and Northwestern Medicine.This deep-learning system provides an automated image evaluation system to enhance the accuracy of early lung cancer diagnosis that could lead to earlier treatment. Lung cancer is most common cause of cancer deaths in US and is harder to treat when diagnosed at advanced stages.
Source: EurekAlert! - Social and Behavioral Science - Category: International Medicine & Public Health Source Type: news
The radiology community's proactive response to the adoption of artificial...Read more on AuntMinnie.comRelated Reading: Practical considerations of AI: Part 3 -- More AI issues How will PACS evolve over the next decade? AI predicts lung cancer survival from CT scan data The 5 things radiology needs to speed up AI use AI malware deceives radiologists with fake tumors on CT
Source: Headlines - Category: Radiology Source Type: news
Conclusions Several model systems are now available to characterize the MSC-tumour interplay in the TME. These offer early promise in establishing robust preclinical platforms for the identification of crucial molecular pathways and for the assessment of clinical efficacy of novel drugs to inhibit cancer development and progression. However, selection of the right model for a given study should be shaped on the purpose, and should also consider fixed biological, biochemical, and biophysical parameters according to the specific tumour type. Finally, in order to get reliable and useful results to be translated to the clinic...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Mark E. Gray1,2*, James Meehan2,3, Paul Sullivan4, Jamie R. K. Marland4, Stephen N. Greenhalgh1, Rachael Gregson1, Richard Eddie Clutton1, Carol Ward2, Chris Cousens5, David J. Griffiths5, Alan Murray4 and David Argyle1 1The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom 2Cancer Research UK Edinburgh Centre and Division of Pathology Laboratories, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom 3School of Engineering and Physical Sciences, Institute of Sensors, Signals and Systems, Heriot-Watt Univer...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Conclusion: This study suggests that a clinically efficacious cardiovascular Chinese herbal medicine (DLP) can be successfully repurposed to treat a lung disease in pulmonary fibrosis guided by TCM theory. Our comparative study between DLP and DHP demonstrated a critical requirement of suppressing both pro-inflammatory and pro-fibrotic pathways for the treatment of pulmonary fibrosis, supporting that a multi-component prescription capable of “removing both phlegm and blood stasis” will better achieve co-protection of heart and lung in PHD. Introduction Idiopathic pulmonary fibrosis (IPF) is a chronic an...
Source: Frontiers in Pharmacology - Category: Drugs & Pharmacology Source Type: research
More News: Cancer | Cancer & Oncology | CT Scan | Databases & Libraries | Harvard | Lung Cancer | Lung Transplant | PET Scan | Radiology