Search results for: 'knowledge driven intelligent tools'

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

The latest issue of Advanced MedTech Technology Opportunity Engine (TOE) profiles a wide range of innovations from the advanced medical devices, artificial intelligence (AI)-based solutions and diagnostics industry. The issue includes advanced medical devices such as spinal cord stimulation, Bluetooth-enabled transcutaneous continuous glucose monit...

Comprehensive wound assessment is vital to understand the nature of wounds and devise evidence-based and cost-effective therapeutic interventions. However, traditionally used methods for wound diagnosis and monitoring cannot accurately measure wound dimensions, require physical contact with the wound, which causes discomfort to the patients, and ca...

The collaboration and communication device landscape is undergoing a structural shift, characterized by steady realignment driven by hybrid work standardization, AI maturity, regulatory pressure, and constrained IT investment cycles.Across global markets, enterprises are recalibrating to a stable hybrid work baseline, while demand for higher-qualit...

Transportation industry participants face significant challenges as expanding populations and urban density cause congestion, high carbon emissions rates, and parking deficits. One way city planners seek to remedy these unfortunate effects is by optimizing their mobility networks. The need to effectively manage the various mobility modes became mor...

The biopharma industry has been evolving over the past few decades. This study analyses the top ten trends that will impact the future of the biopharma industry through 2040.The future of biopharma will be driven by innovation in AI and ML, particularly generative AI, and by advancements in translational medicine and synthetic biology. Future clini...

World Health Organization statistics state that by 2030, one out of six people will be 60 years of age or more. The aged population will likely increase from 1 billion in 2020 to 1.4 billion in 2030 and 2.1 billion by 2050. The senior population typically experiences a gradual decrease in physical and mental capacity. This causes a high disease and...

21 Aug 2018  |  Global  |  Market Research

Artificial Intelligence for Medical Image Analysis—Companies-to-Action, 2018

Lay of the Land, Growth Opportunities and Future Direction

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Key Issues Addressed

Medical imaging has become the bellwether application for artificial intelligence (AI) technologies in healthcare. From deep learning and machine learning approaches, to cognitive computing, to even natural language processing, several AI approaches are now being incorporated in the field of radiology. Apart from academic research groups, almost al...