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. 

AI artificial intelligence for beginners

5 tips to learn AI from scratch and for free

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

Wearable ultrasound device tracks muscle activity with great accuracy.

Wearable ultrasound device monitors muscle activity with great precision

The system provides long-term, wireless monitoring of muscle activity and function. Experts are hopeful that it could have utility in multiple healthcare settings. 

Using advanced artificial intelligence (AI) platforms to assess imaging results and quantify coronary plaque buildup can help clinicians predict adverse events in patients with suspected coronary artery disease (CAD), according to late-breaking data presented at TCT 2024 in Washington, D.C.

AI-enabled plaque assessments help cardiologists ID high-risk CAD patients

AI-enabled coronary plaque assessments deliver significant value, according to late-breaking data presented at TCT. These AI platforms have gained considerable momentum in recent months, receiving expanded Medicare coverage in addition to a new Category I CPT code.

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Real-world use of AI algorithm for collapsed lung cuts radiologist reporting times by 46%

Prompt diagnosis of such pneumothorax is crucial, with delays linked to longer hospital lengths of stay and greater disease progression, experts write in Academic Radiology

AI prostate lesion segmentation algorithm

AI tumor volume estimations could improve prostate cancer treatment strategies

More detailed estimations of lesion size could give providers greater insight into how to best manage a patient’s treatment plan. 

Elon Musk Neuralink

Elon Musk urges users to submit X-ray, PET and MR images to xAI chatbot Grok

The world’s richest man asked patients and providers to try submitting scans to his company’s artificial intelligence product for further analysis. 

Radiology Partners

Rad Partners aims to take ‘chores of healthcare’ off radiologists’ plates

The partnership is with IKS Health, which helps docs handle duties such as clinical documentation, care team assistance, and pre-visit summaries. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

The CEO of the country’s largest for-profit, publicly traded health system is bullish on healthcare AI.