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. 

artificial intelligence AI engineer

Industry Watcher’s Digest

This is the week of DeepSeek. 

radiology reporting EHR health record CDS AUC

How a health system automatically integrates AI results into radiology reports

The University of Pennsylvania in Philadelphia has aimed to tackle this conundrum, developing a deep learning-based image analysis tool and AI “orchestrator.” 

Quibim CEO Ángel Alberich-Bayarri

Radiology AI vendor Quibim raises $50M in Series A financing round

The Spain-based company offers a suite of solutions to aid in interpreting MRI, CT, and PET scans, boasting 170 installations across the globe. 

Resident Fellow Training with AI

5 ways GenAI can enhance graduate medical education

Generative AI has a bright future in medical education. That goes not only for medical schools but also for postgraduate settings in which residents and fellows do most of their learning while also caring for patients.

artificial intelligence AI money brain dollar

Imaging artificial intelligence firm Rad AI raises $60M, boosts value to $525M

Boston-based growth equity firm Transformation Capital led the Series C funding round, which increases Rad AI’s war chest to over $140 million. 

GE HealthCare

GE HealthCare signs $249M imaging AI deal with 31-hospital system

The collaboration is with Nuffield Health, the United Kingdom’s largest healthcare charity, which operates outside of the NHS. 

AI cardiology heart artificial intelligence deep learning

New AI model uses ECG images to evaluate heart failure risk

The advanced algorithm only needs an image or photograph of a 12-lead ECG to make its assessment. 

DL model identifies and segments lung tumors on CT scans.

Deep learning model halves lung tumor segmentation times

In a new clinical study, the model was able to maintain its performance on scans completed on different types of CT equipment across multiple medical centers.