Goto

Collaborating Authors

How AI is transforming the way doctors treat patients

#artificialintelligence

Advances in artificial intelligence (AI) are happening at a much quicker pace than anyone could have predicted. This emerging technology is now being used by businesses and is even finding its way into consumer products. One industry that has fully embraced AI is healthcare and doctors and other hospital staff are using advanced machine learning algorithms to solve problems in new ways. TechRadar Pro spoke with HeartFlow's Founder and Chief Technology Officer Charles A. Taylor to learn more about how the company is using deep learning to build 3-D models of patients' hearts to provide doctors with a safer and more effective way of diagnosing cardiovascular disease. HeartFlow has pioneered technology to help clinicians diagnose coronary heart disease (CHD).


What is the potential of artificial intelligence in healthcare?

#artificialintelligence

Information Age discusses how artificial intelligence is transforming the NHS, and its potential in other sectors too with Charles A. Taylor, founder and chief technology officer at HeartFlow. The potential for AI in healthcare is tremendous as it increasingly becomes integrated into the healthcare ecosystem. AI is transforming the way doctors deliver cost-effective, high-quality diagnostic and treatment services to their patients. For example, the technology can identify patterns and anomalies in diagnostic data from medical scans at a speed and volume that humans are simply unable to replicate. The processing power of AI has applications far beyond providing simple diagnoses.


NHS Hospitals Turn to Deep Learning and Advanced Algorithms to Fight Heart Disease

#artificialintelligence

WIRE)--New technology using deep learning and advanced algorithms to evaluate blood flow to the heart is now being used in English hospitals to fight against coronary heart disease. Coronary heart disease (CHD) is one of the leading causes of death in the UK. It is responsible for more than 66,000 deaths each year and it is estimated that 2.3 million people in the UK are currently living with the diseasei. CHD develops when the arteries leading to the heart narrow or become blocked, which can reduce blood flow, and cause chest pain and heart attacksii. The HeartFlow FFRct Analysis is being supported by NHS England as part of the Innovation and Technology Payment (ITP) programme to help physicians better diagnose coronary heart disease.


How the NHS is using deep learning to combat coronary heart disease

#artificialintelligence

Coronary heart disease (CHD) is one of the leading causes of death in the UK; it's responsible for more than 66,000 deaths each year, and it's estimated that 2.3 million people in the UK are currently living with the disease. Imaging is an important part of diagnosing people and managing treatment with a range of cardiovascular diseases, and the NHS uses Echo, MRI and CT scans to do this. A CT scan is used to do a coronary CT angiography, which involves taking images of the heart blood vessels and using the CT scan with some dye contrast into the blood vessels. This enables doctors to see if blood vessels are narrowing, causing patients to have chest pain or angina. The test has been around for the last 10 or 15 years but has increased in usage as radiation doses have decreased dramatically.


Diagnostics, Monitoring, Drug Discovery: How AI Is Fighting COVID-19

#artificialintelligence

Suki, a startup that makes an AI-powered voice assistant for doctors, received two pieces of news from major clients less than three weeks ago. The first was that they'd need the product to accommodate telemedicine visits. The second was that they'd need autofilled clinical notes to quickly process patients who test positive for COVID-19 -- "Hey, Suki, write up a completed clinical note for COVID-19." The clients sent Suki their requirements and the data they'd gathered so far, and CEO Punit Soni called a meeting with his COO, head of customer success, product lead, sales lead and marketing lead. The meeting lasted 20 minutes.