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. 

RSS icon
medical student and mentor

Industry Watcher’s Digest

Physicians shouldn’t think of AI as a tool to wield and sharpen. They should think of it as a medical student to mold and mentor.

AI represents the single biggest opportunity to fundamentally transform healthcare since antibiotics.

Brainstorm, collaborate to save healthcare AI from a ‘failure of imagination’

The suggestion comes from a strategic communications professional who specializes in thinking creatively about how to unlock opportunities—including those that are, at present, hard to see.

AI helps identify malignant/benign pancreatic lesions

Multimodal AI model helps differentiate between benign and malignant pancreatic lesions

Endoscopic ultrasonography has emerged as a valuable tool for diagnosing pancreatic cancer, but its specificity in differentiating between benign and malignant pancreatic lesions varies.

GE HealthCare

GE HealthCare to acquire AI business from ultrasound firm for $51M, plus more vendor news

Also, Hologic expected to generate $800M in free cash flow, full-body MRI startup raises $27M, and the FDA clears solutions from Hyperfine, Subtle Medical and Positrigo. 

Multiple sclerosis lesions detected with AI assistance

AI assistance helps rads shave 1/3 of their reporting times for MS lesions

Assessing multiple sclerosis is a time-consuming process, making reducing the burden an interest of multiple AI vendors.

HeartFlow introduced its next generation artificial intelligence (AI) Plaque Analysis with an interactive experience at SCCT 2024. It shows a 3D plaque model and analysis by territory across calcified, non-calcified and low-attenuation plaques. This includes viewing cross-sectional, color-coded images of each plaque type where it was quantified along the vessel. #SCCT #SCCT24 #SCCT2024

Updated HeartFlow technology offers interactive features, full integration with FFR-CT 

HeartFlow is using SCCT 2024 to introduce the world to its updated Plaque Analysis platform. “Accurately diagnosing a patient’s risk for coronary artery disease is critical for determining the best treatment," Chief Medical Officer Campbell Rogers, MD, explained.

lung cancer pulmonary nodule chest

AI shows potential to reduce radiologists’ chest X-ray workload in an outpatient setting

Experts see particular benefit in “situations with high case volumes, which often lead to long work lists and reading delays," according to research published in Academic Radiology. 

mayo clinic platform

Industry Watcher’s Digest

Buzzworthy developments of the past few days: Mayo Clinic leads the league in AI readiness 

Displaying 193 - 200 of 2555
Design by Adaptive Theme