Search Tag: machine learning

Cardiology Management

The Impact of Digital Technology on Healthcare

2020 20 Feb

Digital technology has become an integral part of healthcare and is all set to revolutionise the practice of medicine. Digital technology has greatly improved operational efficiency with respect to standards of medical care. The transformation has significantly enhanced the overall experience of both healthcare professionals and patients. Some... Read more

Cardiology Management

Machine Learning and Early Diagnosis of CVD

2020 20 Feb

Despite significant advances in the diagnosis and management of cardiac disease, cardiovascular disease continues to have high morbidity and mortality. In some  cases, the diagnosis is delayed, while in others, the diagnosis is mistaken for another disorder. Advanced technology and machine learning have opened up new opportunities to evaluate image-based... Read more

Executive Health Management

Reimagined Hospitals

2020 29 Jan

In 10 years, the healthcare system will be a different beast. The power of technology and data will change the way we face the current challenges driving us towards more integrated care based on population health and value, with increased patient engagement. This all means the old healthcare provision paradigm is crumbling. Not that hospitals will... Read more

Executive Health Management

Bright Ideas

2020 29 Jan

HealthManagement.org rounds up exciting developments that have all the characteristics of game-changers for healthcare. What do you think? AI Breast Cancer Diagnosis Matches Two Doctors A study suggested that AI diagnoses breast cancer from mammograms more accurately than radiologists.A computer, specially designed and trained by... Read more

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