Search Tag: Artificial Intelligence

IT Management

Will AI take healthcare jobs?

2017 19 Sep

Many workers fear that the growing adoption of artificial intelligence may force them out of their jobs. However, instead of destroying jobs, AI is generating new roles in many organisations that have embraced the technology, according to a survey report from consulting and outsourcing firm Capgemini. The firm conducted a survey of 993 global executives... Read more

IT Management

AI and the Patient

2017 05 Sep

Artificial intelligence technology is evolving quickly. An increasing number of hospitals now use AI and machine learning for more efficient care management. With powerful analytics tools, providers can gauge capacity or pinpoint the slack in the system.  In addition, AI-based virtual assistants are helping more patients to stay fit and healthy. And... Read more

IMAGING Management

How AI Can Increase the Value of Radiologists

2017 29 Aug

The integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. But rather than being a significant threat to radiologists, AI technology will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction, says an article in... Read more

IT Management

Which 2 Pieces of Health Technology are Essential for the CISO’s Arsenal?

2017 22 Aug

Artificial intelligence means using computers and tools to do something that humans do. Machine learning is a subset of overall AI that recognises patterns in data and predicts outcomes based on past experience and data. Most AI systems incorporate machine learning technology to help generate results that replicate human ones.You might also like: Fighting... Read more

IMAGING Management

Improving Radiology With AI

2017 04 Jul

The impact of artificial intelligence technology is becoming more widespread in healthcare. However, rather than feeling threatened by this emerging technology, the medical community should embrace its achievements, writes Dr. Bertalan Mesko (who has a PhD in genomics) in a blog post.Deep learning techniques, for example, are now being used to analyse... Read more

IT Management

Artificial Intelligence: Explosive Growth

2017 28 Jun

Artificial intelligence is fast becoming integrated in the delivery of healthcare, and increasing use of the technology is expected to result in quality improvement and cost reduction. A new study shows that a variety of clinical AI applications will translate into savings of up to $150 billion in healthcare costs over the next 10 years.   The technology... Read more

Cardiology Management

Artificial Intelligence Assists in Treatment of Heart Patients

2017 17 Jun

A clinical study was recently launched by Finnish researchers to use the latest analytical methods to recognise myocardial infarction patients at high risk of complications. The University of Tampere and TAYS Heart Hospital use artificial intelligence technologies for the home care of heart patients. Their goal is to predict complications as early as... Read more

IMAGING Management

Using Artificial Intelligence to Predict Patient Lifespans

2017 06 Jun

Computers may soon be able to predict a patient's lifespan by looking at images of their organs. New research led by the Unviersity of Adelaide and published in the journal Scientific Reports uses artificial intelligence to analyse medical images of patients and predict which patients would die within five years with 69% accuracy. This is the first... Read more

Cardiology Management

AI in Precision Cardiovascular Medicine

2017 29 May

Artificial intelligence (AI) techniques, such as machine learning, deep learning, and cognitive computing are promising and can potentially change the way in which medicine is practised. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. In the near future, AI will result in... Read more

Executive Health Management

Using AI to Improve Revenue Cycle Management

2017 28 May

For many healthcare providers, finding ways to accurately and efficiently bill patients for their services remains a challenge. Current estimates indicate that 30 to 40 percent of medical bills contain errors. "Efficient medical billing is critical for optimising healthcare revenue cycle management and driving value-based patient care, but effectively... Read more