Engineers develop A.I. System to detect often-missed cancer tumors

(University of Central Florida) Engineers at the University of Central Florida Center for Research in Computer Vision have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team said.
Source: EurekAlert! - Medicine and Health - Category: International Medicine & Public Health Source Type: news

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Conclusion: Study reveals a high prevalance of potentially treatable extra pulmonary and pulmonary comorbidities. We recommend a list of these treatable comorbidities be included as part of the standard work up of COPD patients undergoing CT as it would enable better patient outcomes.
Source: European Respiratory Journal - Category: Respiratory Medicine Authors: Tags: Clinical Problems Source Type: research
We report a case of Paragonimus westermani infection simultaneously affecting two separate organs that presented as both a pulmonary cavity and adrenal mass in an immunocompromised host.A 65-year-old male with a previous kidney transplant visited our clinic because of hemoptysis. Forty-three months earlier, bilateral spontaneous pneumothorax was diagnosed and treated with oxygen supplementation and right chest tube insertion. At that time, there was no demonstrable cavitary lesion in either lung and no mass in the adrenal glands (Fig. 1A, 1B). Computed tomography (CT) of the chest when the patient presented with hemoptysis...
Source: European Respiratory Journal - Category: Respiratory Medicine Authors: Tags: Respiratory infections Source Type: research
Lung cancer is the most frequent type of cancer across genders and the most common reason for cancer-related death worldwide [1]. Hybrid positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (FDG) is an established imaging method for the staging of patients with lung cancer [2]. Recently, the use of artificial intelligence and more specifically deep learning has produced promising results in various applications in medicine, including automated skin cancer detection [3] or automated Alzheimer disease detection based on FDG-PET data [4].
Source: Lung Cancer - Category: Cancer & Oncology Authors: Source Type: research
Lung cancer is the most frequent type of cancer across genders and the most common reason for cancer-related death worldwide [1]. Hybrid positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (FDG) is an established imaging method for the staging of patients with lung cancer [2]. Recently, the use of artificial intelligence and more specifically deep learning has produced promising results in various applications in medicine, including automated skin cancer detection [3] or automated Alzheimer disease detection based on FDG-PET data [4].
Source: Lung Cancer - Category: Cancer & Oncology Authors: Source Type: research
Physicians may soon use artificial intelligence (AI) and medical images to study tumors without a biopsy. The techniques developed to study tumors in this new way are described in the September 1 issue of The Lancet Oncology. Along with helping physicians learn more about tumors without surgery, the new approach should help identify which cancer patients will respond best to cutting-edge immunotherapy treatments. The AI techniques could be useful for “predicting clinical outcomes of patients treated with immunotherapy when validated by further prospective randomized trials,” the authors wrote. Immunotherapy tre...
Source: Asbestos and Mesothelioma News - Category: Environmental Health Authors: Source Type: news
It ’s difficult to open a newspaper nowadays without seeing an article about artificial intelligence. These column-inches spark our imaginations with heady visions of possible futures and crease our brows with concern in equal measure. But one thing you cannot escape is that AI is here now and it’s only going to become more pervasive.While fear of an unknown technology is understandable, in many ways it does a disservice to the incredible impact that AI is already having on the world around us. In the healthcare space alone, it is offering ways to fundamentally rethink clinical practice, speeding up diagnosis, ...
Source: EyeForPharma - Category: Pharmaceuticals Authors: 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
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
Rationale: Patients with severe COPD and/or emphysema have a distinct pulmonary inflammome characterized by a different regulation of the immune response that should be better explored integrating the results of RNA expression with epigenetic changes.Objective: To compare the pulmonary mRNA and miRNA of COPD patients with and without emphysema (CT scan) and various disease severity.Methods: Lung tissue from 70 former smokers with COPD was obtained from individuals undergoing thoracic resectional surgery (mostly because of lung cancer) or lung transplantation explants. Total RNA was extracted, small RNA libraries were const...
Source: European Respiratory Journal - Category: Respiratory Medicine Authors: Tags: Molecular Pathology and Functional Genomics Source Type: research
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