Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS), enterprise image systems, artificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.
AMA brainstorms on key topics impacting healthcare
"With significantly strengthened penalties, standardized reporting requirements and unprecedented enforcement commitments, the regulatory landscape has dramatically shifted," the AMA wrote.
Research brief: Cybersecurity threats inherent to AI-aided remote patient monitoring
Leveraging the upsides of RPM with AI demands human attention to numerous challenges. Primary among these are privacy and cybersecurity risks, researchers report.
Walmart launches AI tool to steer Medicare Advantage members toward ‘healthy’ foods
Walmart is highlighting food and products eligible for purchase using Medicare Advantage supplemental funds through its app, while also using AI to algorithmically help enrollees build diet-appropriate shopping lists.
Siemens Healthineers deploys its first mobile stroke unit in the US
The new device marks a “significant step forward” in American stroke care, the company contends.

Top performing PACS companies based on user feedback

Agfa and Sectra both performed well with end-user satisfaction scores in the 2025 Best in KLAS list of radiology IT systems.

Video of Tim Kearns explaining the new Konica Minolta Exa Enterprise imaging system released at RSNA 2024.

Enterprise imaging expands in smaller and midsized hospitals

Smaller health systems are increasingly moving into this realm. Tim Kearns, director of marketing and healthcare IT, Konica Minolta Imaging USA, explains the implications.

chatgpt artificial intelligence healthcare

How do radiologists feel about utilizing GPT-4 in practice?

In recent years, there has been much talk of the potential for large language models to improve radiology workflows.

AI-based 3D CTA reconstruction solution scores FDA clearance

Using the new solution, CTA recons are completed in a matter of minutes, not hours.

More than words: AI takes NLP to the next level to identify signs of heart failure

Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context.

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias.

Medical imaging trends to watch in 2025

The healthcare market analysis firm Signify Research released a list of predictions in radiology its analysts expect to see in 2025.

GPT-4 helps ensure recommendations for additional imaging aren't overlooked in reports

Recommendations for additional imaging are routinely included in radiology reports but are sometimes overlooked or not communicated in a timely manner. Experts believe large language models can help address these lapses in care.

Health IT

AI detects twice as many incidental lesions as radiologists

AMA brainstorms on key topics impacting healthcare

Research brief: Cybersecurity threats inherent to AI-aided remote patient monitoring

Walmart launches AI tool to steer Medicare Advantage members toward ‘healthy’ foods

Siemens Healthineers deploys its first mobile stroke unit in the US