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. 

Has imaging spied a connection between alcohol, anger?

Why does it seem like when alcohol gets involved, people often exhibit more aggressive behavior thanks to “liquid courage”? According to a group of international researchers, it’s because changes occur in the prefrontal cortex—the area of the brain charged with tempering a person’s aggression—after two drinks. 

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More hospitals than imaging centers are adopting AI, new report says

According to a December 2017 research survey conducted by the healthcare market research firm Reaction Data, most hospitals and imaging centers will be using machine learning or artificial intelligence (AI) technology by 2020.

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AI and machine learning in radiology: 4 things to know

As industry experts continue to explore artificial intelligence (AI) applications in radiology, the question remains of whether AI applications can and will add value, including in new knowledge and information to provide patients with better outcomes at lower costs.

PSMA PET, CT detects recurrent prostate cancer early, guides radiotherapy

Nuclear imaging may better locate recurrent prostate cancer after prostatectomy and aid in earlier detection after recurrence all while simultaneously providing the sensitive imaging needed to guide salvage radiotherapy in patients, according to a study in the February issue of The Journal of Nuclear Medicine.

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How accurate is machine learning in speech recognition? Researchers take a look

Artificial intelligence and machine learning are all the rage—and for good reason. But researchers claim the brain doesn’t actually use the regions identified by machine learning to perform a task. Rather, these algorithms reflect the mental associations related to the task.

UAE envisions successful future with AI

The United Arab Emirates will bring the first radiology artificial intelligence (AI) algorithm in the state to its medical fitness centers as part of the Dubai Health Authority’s (DHA) Dubai Health Strategy 2021, the Gulf News reports.

Half of spinal cord injury patients may still have connection

An Australian study published Jan. 30 in the journal Human Brain Mapping found half of spinal cord injury patients may still have some connectivity.

MedyMatch Technology granted approval to fast-track AI software

MedyMatch Technology, a company dedicated to improving physician focused patient-assessments through artificial intelligence (AI) revealed it has been granted Expedited Access Pathway (EAP) designation by the United States Food and Drug Administration for intracranial hemorrhage detection software, according to a press release by the company.

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.