Article Name Artificial Intelligence
Yashoda Hospital Hitech City & Qure.ai Launch AI-Enabled Lung Nodule Clinic
The AI system has analysed over 17,000 chest X-rays, identifying 960 lung nodules, of which 136 were categorised as high-risk
25th November, 2025
Siemens Healthineers Introduces AI Enabled Radiology Services to Transform Imaging Workflows
New radiology services suite designed to span scheduling to image acquisition to reporting Custom-built AI services find and summarize clinically relevant observations ActExcell Operational Twin to simulate complex scenarios and recommend improvements to operations in hospital departments Siemens Healthineers is launching artificial intelligence (AI)-enabled services to help healthcare providers address a range of challenges, from hands-on image interpretation to complex scenario planning for entire healthcare environments. The company’s new radiology services suite1 is designed to span the imaging chain from scheduling to image generation to reporting. It bundles existing services and new ones like the AI-Enablement Services that can provide radiologists with custom-built summaries of clinically relevant observations, saving time in annotation of images and creation of reports. In addition, the company is enhancing its advisory services with AI to simulate complex scenarios and recommend improvements to operations in hospital departments and other healthcare providers.2 The new offerings will be presented later this month at the 2025 Radiological Society of North America (RSNA) meeting in Chicago. With increasing demand for diagnostic imaging and a shortage of specialists, pressure on existing staff is growing, and patients are having to wait longer for appointments and results. To reduce the burden on radiology teams while helping them work more efficiently, the new, vendor-neutral services suite is designed to comprehensively support radiologists by taking over some of the more mundane processes. In this way, it can help mitigate the effects of staff shortages and reduce radiologist burnout. Pilot projects have shown that by using the new AI-enabled solution, radiologists were able to annotate chest CT images up to 25 percent faster and experienced noticeably less cognitive load.3 The clinical accuracy of the results remained at the same high level.4 “It is very similar to having a resident physician drafting cases to you, with the tedious work already completed when you open a case. This allows you to move more efficiently through cases and decreases cognitive load,” said William Baughman, MD, radiologist at The MetroHealth System, a nonprofit, public health system in Cleveland, who has already tested the AI offering with his team. The new AI-Enablement Services are an important component of the Siemens Healthineers radiology services suite, which also includes existing services for remote scanning and reading. Customers can thus obtain support from medical-technical radiologists during image acquisition with magnetic resonance imaging through Remote Scanning Services. If customers need support for the generation of the final report, they can also leverage external expertise through Remote Reading Services, carried out by licensed radiologists from external partner organizations of Siemens Healthineers. In this way, radiology departments can better address staff shortages and organize shifts more flexibly while maintaining standards of care for patients. Siemens Healthineers is already working on complementary Load Balancing and Scheduling Services to match patients and staff with the right scanner at the right time, driving more efficient workflows. “Together with our clinical partners, we have identified those steps in the radiological process where we as Siemens Healthineers can effectively relieve some burden by automating or outsourcing routine activities,” said João Seabra, Head of Enterprise Services at Siemens Healthineers. “We look forward to supporting radiology teams with this services suite so that they can focus on providing the best possible care for their patients.” Artificial Intelligence Complements Advisory Services In addition to introducing the new radiology services, Siemens Healthineers is expanding its advisory offering to include the use of AI. ActExcell Operational Twin combines predictive simulation with expert guidance to help customers improve operational performance. Based on customer-specific data, the company’s in-house supercomputer simulates future scenarios, and uncovers the most effective improvements and the path to getting there. These questions are far from simple to answer when one considers the complex interplay of staff planning, facility design, layout and patient scheduling, to name just a few factors. The AI agents are designed to achieve specific targets such as reducing patient waiting times or the time that patients need to spend in scanning rooms. Through ActExcell Operational Twin, the company’s advisors can thus suggest data-informed improvements, explain why certain strategies are preferable, and provide a robust simulation environment before measures are adopted in real-world settings. 1 The Siemens Healthineers Radiology Services mentioned herein are not commercially available in all countries. Remote Reading is currently not available in the United States. Scheduling and Load Balancing Service are still under development. Their future availability cannot be guaranteed. 2 ActExcell Operational Twin is not commercially available in all countries. If the services are not marketed in countries due to regulatory or other reasons, the service offering cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details. 3 The radiologists’ perceived cognitive load decreased by at least 16 percent in pilot studies. 4 The statements by customers of Siemens Healthineers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.
25th November, 2025
Scaling AI in Mammography: Lessons from RadNet’s 109-Site Deployment
The operational challenges of integrating advanced algorithms across a nationwide network, and what the data truly reveals about AI’s ability to reduce long-standing disparities in breast cancer outcomes
24th November, 2025
Laxco and Media Cybernetics Launch LEAP AI
LEAP AI streamlines the complete imaging workflow, from image acquisition to automated analysis
21st November, 2025
VEITH Symposium Showcases Emerging AI Applications in Vascular Care
The session highlighted the growing importance of AI-enabled imaging, simulation, and digital workflow tools within vascular surgery and interventional practice
21st November, 2025
Commure Partners with Hughston Clinic to Transform Orthopaedic Care with Enterprise AI Platform
Hughston Clinic to leverage Commure’s robust platform to automate workflows across the full care continuum
21st November, 2025
Scientific Industries Launches AI-Powered Upgrade for VIVID WORKSTATION
Net revenues rose 52.2 per cent to $1,404,000, driven by strong VIVID product demand within the Torbal Division
20th November, 2025
Nanox Partners with 3DR Labs to Expand AI-Powered Imaging Solutions
3DR Labs to Offer Nanox.AI’s FDA-Cleared Imaging Solutions to Its Network of More Than 1,800 Hospitals and Imaging Centres Across the U.S.
19th November, 2025
Dandy Launches AI Scan Review, the First Chairside AI Assistant for Crown Preparation
AI Scan Review catches crown preparation issues instantly, reducing remakes, chairside adjustments, and rescan appointments
19th November, 2025
Neocis Unveils Next-Generation AI-Powered Robotic System for Dental Implants
Yomi S and YomiPlan AI Platform Now FDA-Cleared, Offering Unprecedented Precision, Efficiency, and Access for Dentists and Patients
18th November, 2025
RadNet and DeepHealth Study Shows 21.6% Boost in Breast Cancer Detection with AI
The largest real-world analysis of AI-driven breast cancer screening in U.S. history demonstrates an increased cancer detection rate with consistent benefits across patient populations
18th November, 2025
IIT Indore’s IITI Drishti CPS Foundation & DHN Conclude HealthTech Innovation Challenge 2025
Ivory Wins Best HealthTech Startup
17th November, 2025
AI, Data and Digital Dentistry: Redefining Patient Outcomes in Oral Healthcare
In this modern era, dental clinics are becoming smart clinics where every step of the patient journey is guided by digital technology and data-driven machine learning
17th November, 2025
Avicenna.AI Launches AVI Seamless Platform for Medical Imaging AI
New platform is designed to enable fast, scalable access to a wide range of AI imaging solutions
14th November, 2025
dacadoo’s AI-Backed Health Score Takes Centre Stage in New Global Health Partnership
The collaboration reflects a growing global shift toward connected care where the patient journey no longer ends at recovery but evolves into sustained, data-powered wellness management
14th November, 2025
Proprio and Harms Study Group Partner to Advance AI-Powered Research in Spine Surgery
By integrating intraoperative data from Proprio's Paradigm platform with the Harms Study Group registry, the partnership ushers in a new era of quantitative, AI-enabled spine surgery research
13th November, 2025
Laronix Secures $3.2 Mn Grant from Australian Government to Bring AI-Powered Voice Technology to Market
Laronix is also developing MIRA-AI, the Company's latest offering, which effectively creates an ultra-realistic voice for the patient using advanced AI
13th November, 2025
GE HealthCare and RadNet’s DeepHealth collaborate to advance innovation and adoption of AI-Powered Imaging
Collaboration aims to expand existing U.S. relationship combining GE HealthCare’s mammography systems with DeepHealth’s Breast Suite to include a worldwide distribution arrangement
13th November, 2025
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