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. 

Man vs. Machine artificial intelligence AI

Radiogenomics could personalize cancer care, but experts are still hesitant to embrace the method

Combining radiomic data from imaging exams with genomic insights may be a long way off, but its potential may change the oncology landscape, experts suggested in Clinical Imaging.

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AI-based system affords physicians more flexible schedules, minimizes burnout triggers

Physicians reported higher engagement scores while receiving extra vacation days, greater flexibility, more predictable schedules and fewer denied days off.

MR-guided thermoseeds can destroy cancerous brain tissue

"Improving the precision of treatment delivery is arguably the greatest unmet need we have in contemporary medicine," experts explained in Advanced Science.

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Medical malpractice and AI: 4 response strategies when rejecting an algorithm’s advice backfires

Sharing the decision-making process with patients and working with vendors to establish liability beforehand are both wise, experts wrote in JACR

Walmart partners with AI startup that connects patients with high-value providers

Health at Scale’s Precision Navigation service utilizes machine learning to model variations in outcomes and steer beneficiaries to ideal offerings.

RSNA launches its first imaging AI certificate program

The six-module certification program is intended to help even the least tech-savy radiologists integrate AI into their clinical workflows.

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AI-assisted pneumothorax detection via chest radiographs reduces invasive procedures for patients

“We believe that the computer-aided detection system can help improve the safety of patients receiving lung biopsy," experts explained in Radiology.

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Imaging giant RadNet buying two more artificial intelligence firms for total of nearly $100M

Dutch companies Aidence and Quantib will join the Los Angeles-based firm's AI division, which also includes DeepHealth, acquired for $40M in 2020.