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. 

Tufts Medical Center Reports Carestream’s Web-Based Image Viewer Equips Physicians with Better, Faster Access to Patient Information

Physicians at Tufts Medical Center (Boston, Mass.) are enthusiastic about gaining instant access to patient imaging studies via the Web on devices such as the iPad using the CARESTREAM Vue Motion viewer.

April 16, 2013

GE Healthcare IT Announces New Initiatives in Support of Customers

As many GE Healthcare IT customers converge on the nation’s capital for the company’s largest user group meeting of the year, the Company is announcing several new initiatives intended to continue the focus on customers, year-round.

April 15, 2013

Image Stream Medical receives patent for LiveStream digital collaboration platform with patient privacy protection

Today Image Stream Medical announces receipt of Patent 8,401,869 for its LiveStream (link) family of video streaming products.  LiveStream enables the unique ability to allow digital video based collaboration between surgical operating rooms and remote clinicians while supporting HIPAA requirements such as patient privacy protection.

April 15, 2013

Video interview: Wis. rad seeks to boot colon cancer off top 10 list w/ CTC

University of Wisconsin (UW) School of Medicine and Public Health in Madison has bucked national CT colonography (CTC) non reimbursement policy and delivered the exam as a screening option for eligible patients since 2004. Credit for the unique program largely rests with Perry J. Pickhardt, MD, UW radiologist. The program also demonstrates the power of radiology leadership.

April 10, 2013

Cloud Enables Advances in Medical Imaging Innovation

Patient diagnosis and treatment can be delayed as doctors wait for access to large imaging files, search through multiple systems for patient images, or request prior medical images. Henry Ford Health System and Baptist Health System have turned to cloud-enabled innovations from AT&T* to help them overcome time and cost consuming inefficiencies.

April 9, 2013

MIM Software releases MIM 6 – featuring Reg Refine

Cleveland, Ohio – April 5, 2013 – MIM Software Inc., a leading global provider of medical imaging software, announced today that the major software release MIM® 6.0 is now available.  Users in all areas of medical imaging will benefit from innovative tools for deformable evaluation and correction, MR/CT deformable, and automated series management.

April 7, 2013

Imaging specialists combine CT, 3D printing to create anatomical models

Researchers at the University of Notre Dame in South Bend, Ind., have created a 3D anatomical model by combining CT scans with 3D printing technology.

April 5, 2013

ZirMed Launches Patient Estimation Solution

Louisville, KY – April 2, 2013 — ZirMed, Inc., a leading provider of software-as-a-service (SaaS) revenue cycle management solutions, today announced the availability of ZirMed Patient Estimation, a web-based solution that enables provider organizations to accurately determine a patient’s financial responsibility prior to providing service or care.

April 2, 2013

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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