Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Top AI, emerging-tech stories in radiology and cardiology over the past 30 days

From AIin.Healthcare’s sister outlets Cardiovascular Business, Health Imaging and Radiology Business: 

AI scores 1 against a knee injury common among athletes

The AI development team was guided by a sports-medicine specialist dubbed “the go-to orthopedic surgeon for many of the greatest athletes on the planet.”

2-year chatbot mission unites scores of co-developers, yields ‘trustworthy and friendly Rosa’

Women’s health specialists have demonstrated the customization of a commercial AI-based chatbot platform for patients with hereditary breast and ovarian cancer. The pilot project took many hands and much manual labor to complete, but the team suggests the effort has been worth the payoffs.

AI has far to go before solving deafness, but along the way are opportunities to ‘reshape hearing healthcare’

AI technologies likely can go only so far toward improving on hearing aids and cochlear implants. However, AI and hearing experts expect fertile grounds to open for exploration in clinical as well as research arenas.

Americans wary of face recognition technology in healthcare

Only two-thirds of U.S. healthcare consumers are OK with surgeons using digital facial recognition to avoid medical error by confirming patient identity.

Physicians’ behaviors are nearly all AI needs to head off faulty drug prescriptions

Contrary to intuitive expectations, many errors in drug ordering are caused or worsened by the intricacies of the EHR.

AI helps uncover, illustrate the inner workings of cells

Researchers have used electron microscopes and machine learning to create detailed, high-resolution 3D images of subcellular structures called organelles.

AI finds forgotten surgical instruments in patients’ bodies

In hospitals where patients are routinely X-rayed following surgery, AI-equipped CAD software could screen for left-behinds automatically.

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