Search results for: 'systems ad methods for ai assisted surgery'

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

29 Mar 2022  |  North America  |  Frost Radar

Frost Radar™: Global Robotic-assisted Surgical Devices, 2022

A Benchmarking System to Spark Companies to Action - Innovation that Fuels New Deal Flow and Growth Pipelines

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As the healthcare industry continues adjusting to the increasing diagnosis of lifestyle-related diseases and demand for affordable care, effective surgical procedures assisted by robotic devices and a decline in treatment costs look promising. Next-generation surgical robotic technology platforms complement and extend surgeons’ ability to minimize ...

This report examines the transformative potential of Agentic AI to enhance efficiency, personalization, and automation across key service industries from 2025 to 2030. Focusing on 5 high-impact sectors—BFSI, healthcare, manufacturing, retail, and others—it analyzes how AI agents integrate across value chains to drive operational performance, custom...

Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion models, and structure-based models are expanding the u...

Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achie...

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respo...

This Frost & Sullivan research service discusses advances in AI integration in Molecular Diagnostics, highlights key advantages of incorporating AI in the diagnostics workflow and roadblocks that have prevented it from becoming mainstream. While AI is widely used in radiology- and pathology-based diagnostics, its adoption is gradually increasing in...

This Frost Radar™ benchmarks the companies and their solutions that allow healthcare payers and providers to create next-generation virtual assistants. Conversational AI is primarily used to streamline patient and provider processes and interactions across the care continuum—the pre-care, at-care, and post-care phases. Conversational AI solutions a...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...