AI and robotic systems helping doctors with imaging, analysis and early detection of conditions.
20 article(s) from the past 14 days
A new robot has been developed that can autonomously perform diagnostic blood draws on patients. This robotic technology is designed to automate the blood collection process, potentially increasing efficiency and reducing the workload on healthcare staff. The robot uses advanced technology to locate veins and collect blood samples.
Artificial intelligence, robotics and automation are set to significantly transform the future of diagnostics, according to an analysis by the World Economic Forum. These technologies can contribute to faster and more accurate diagnoses, better supporting healthcare professionals. The integration of these systems in healthcare presents opportunities for more efficient and accessible medical care.
AI, robotics, and automation are playing an increasingly significant role in shaping the future of diagnostics in healthcare. These technologies can help detect diseases faster and more accurately, improving overall diagnostic processes. The World Economic Forum highlights how these developments will fundamentally transform the way diagnoses are made.
Imperial NHS has introduced a new service using cutting-edge robotics to speed up lung cancer diagnosis. The robotic technology is designed to make the diagnostic process more efficient and faster for patients. This initiative aims to improve early detection and treatment outcomes for lung cancer patients.
Imperial College Healthcare NHS Trust has introduced a new service using cutting-edge robotics to improve the speed of lung cancer diagnosis. The robotic technology enables clinicians to perform biopsies and examinations more quickly and accurately, allowing patients to receive a diagnosis sooner. This initiative aims to improve outcomes for lung cancer patients by facilitating earlier detection.
An article from the Science Media Centre discusses the rise of robot doctors in healthcare, featuring expert reactions to the use of robots in medical diagnosis and consultations. The discussion focuses on the possibilities and limitations of robotics in a clinical setting. Experts weigh the benefits against ethical and practical considerations.
Medical robots and healthcare robotics are transforming the field of surgery and AI-driven diagnostics. Surgical robots enable minimally invasive procedures with greater precision, while AI diagnostic robots assist in analyzing medical images and making diagnoses. Together, these technologies are improving patient outcomes and overall healthcare efficiency.
Surgical robots and AI-based diagnostics are transforming patient care in healthcare settings. These technologies enable minimally invasive procedures and improve the accuracy of diagnoses. The combination of medical robotics and artificial intelligence offers new possibilities for both treatment and early detection of conditions.
Nvidia has outlined new AI projects focused on robotic surgery and autonomous medical imaging. The company aims to integrate artificial intelligence into surgical robots and diagnostic imaging systems to improve precision and efficiency in healthcare. These developments combine robotics and AI for applications in both the operating room and diagnostic settings.
This article investigates the role of robotics in non-invasive medical diagnostics and screening. Robots are being utilized to enhance diagnostic processes, contributing to more accurate and efficient screening methods without patient intervention. The integration of robotics in diagnostics offers new possibilities for the early detection of medical conditions.
The market for X-ray based robots is growing significantly and is expected to hold an important position by 2035. These robots are used in healthcare for diagnostic purposes, combining X-ray technology with robotics to enhance imaging and procedures. The Fact.MR market report provides insights into the size, share, and statistics of this growing sector.
Researchers at the University of Waterloo are developing an AI-powered robotics system aimed at increasing access to diagnostic imaging. The system is designed to improve patient care by automating and making imaging processes more accessible. This could be particularly impactful in areas where access to diagnostic facilities is limited.
NVIDIA and GE HealthCare are collaborating to develop autonomous diagnostic imaging using Physical AI technology. The partnership aims to automate and enhance medical imaging processes through advanced AI systems. The goal is to create diagnostic systems capable of operating independently, improving accuracy and efficiency in healthcare.
Robot-assisted tele-ultrasound via 5G enables remote ultrasound examinations using a robotic arm controlled by a specialist from a distant location. This technology combines robotics with fast 5G connectivity to provide high-quality diagnostic imaging in areas where no ultrasound specialist is physically present. It opens new possibilities for diagnostics in remote regions or situations where in-person examination is not feasible.
AI, robotics and automation are set to fundamentally transform diagnostic laboratories in healthcare. Intelligent systems can take over routine tasks, improve diagnostic accuracy, and reduce test turnaround times. This presents significant opportunities for healthcare but also requires adaptation of workflows and staff roles.
AI and robotics offer potential solutions to growing healthcare procedural backlogs by speeding up and automating various medical processes. Advanced technologies can make diagnostic and surgical procedures more efficient, reducing the burden on healthcare systems. This could lead to shorter waiting times for patients and improved utilization of medical resources.
Experts react to the use of robotic and AI-driven systems in medical diagnostics. The article discusses the possibilities and limitations of 'robot doctors' in diagnosing patients. Scientists share their views on the reliability and future of this technology in healthcare.
GE HealthCare and Nvidia have formed a partnership aimed at automating X-ray and ultrasound workflows through robotics. The collaboration focuses on deploying advanced technology to make diagnostic imaging processes more efficient. This could relieve healthcare professionals of repetitive tasks and improve the quality of diagnostics.
At the CIRSE 2026 congress, AI segmentation and robotic guidance were showcased as innovative applications within interventional radiology. These technologies combine artificial intelligence with robotics to improve the precision of diagnostic and therapeutic procedures. The presentations highlight the growing integration of robotics and AI in medical imaging and minimally invasive interventions.
NovaSignal has developed a system that combines robotics and artificial intelligence for brain imaging using ultrasound technology. The system automatically positions an ultrasound transducer on the patient's head to accurately measure blood flow in the brain. This enables faster and more consistent diagnostics, for example in cases of stroke or other neurological conditions.