Search Tag: machine learning

IMAGING Management

White Paper Reveals What Radiologists Really Feel About AI

2020 21 Jan

Radiologic technologists are, on the whole, positive about the future role AI in imaging according to a recent white paper published by the American Society of Radiologic Technologists Foundation.   Named The Artificial Intelligence Era: The Role of Radiologic Technologists and Radiation Therapists , the 21-page white paper gathered data and... Read more

IMAGING Management

Radiomics Helps in Heart Attack or Myocarditis Verification

2020 16 Jan

New findings show that radiomics and machine learning (ML) can be combined to help ascertain if late gadolinium enhancement (LGE) on cardiac MR images indicated myocardial infarction (MI) or myocarditis.   You might also like: Machine Learning Improves Breast Cancer Screening and Diagnosis   A study published in Radiology: Cardiothoracic... Read more

ICU Management

The Future of Critical Care Ultrasound (CCUS)

2020 15 Jan

Critical Care Ultrasound (CCUS) has progressed by leaps and bounds, and will continue to push boundaries, with techniques being modified to suit evolving clinical needs and new applications. Introduction With roots traceable to sonar technology developed for underwater listening and submarine detection, the era of medical ultrasound... Read more

ICU Management

Improving Recognition of Neonatal Sepsis

2020 15 Jan

Improving early recognition of sepsis in the Neonatal Intensive Care Unit using machine learning models and electronic health record data. Neonatal Sepsis - Incidence and Outcomes Despite advances in knowledge and medical care, sepsis remains a major cause of morbidity and mortality in infants worldwide, claiming the lives of one... Read more

ICU Management

ICU Management & Practice 2019 Subject Index

2020 15 Jan

Subject Index for Volume 19, issues 1-4, 2019. Issue    Pages Link Issue 1  1-64 https://iii.hm/10cv Issue 2 65-128 https://iii.hm/10cw Issue 3 129-192 https://iii.hm/10cx Issue 4  193-256 https://iii.hm/10cy   Acute Respiratory Distress Syndrome Use of sedation... Read more

IMAGING Management

RSNA 2019: Quenching the Thirst for AI Knowledge

2019 21 Nov

This year’s Scientific Assembly and Annual Meeting, the Radiological Society of North America (RSNA) will feature a newly expanded Artificial Intelligence (AI) Hub as the technology becomes increasingly embedded in imaging processes.   You might also like: RSNA 2019: Speakers and Topics   AI innovations from industry leaders, AI... Read more

Executive Health Management

How to Integrate AI into Radiology Workflow

2019 13 Nov

Summary: Where do the computer sciences have the potential to reduce radiologist burnout, reduce costs and make workflow more efficient and what are the first steps in implementing the technology? In the long-term future, I think that computers will take over the work of image interpretation from humans, just as computers... Read more

IMAGING Management

Pioneering Machine Learning Techniques in 3D Printing and Radiology

2019 11 Nov

3D printing applications in radiology – an early adopter of this technology – are poised to grow rapidly with availability of new, more flexible materials and pioneering machine learning techniques. The advancement in the nature of materials available can be considered as one of the biggest developments in 3D printing, according to experts... Read more

IT Management

9 Tech Trends Taking off in 2020

2019 11 Nov

Technology continues to transform healthcare through increased efficiency in work processes, leading to better delivery of care. For the incoming year, 2020, expect growing applications of artificial intelligence and machine learning aimed at advancing disease risk prediction. Expanding AI use will likely have a ripple effect, such as in genomic... Read more

ICU Management

Machine Learning to Predict Severe Sepsis and Septic Shock

2019 21 Oct

Sepsis is a major cause of death among hospitalised patients. It affects nearly 6% of all admissions and results in in-hospital mortality of greater than 15%. Early detection could reduce mortality, as it would result in the timely implementation of evidence-based interventions.  Clinical researchers have developed and implemented a machine-learning... Read more