Decoding the EU AI Act and its Implications on AI-Enabled Medical Devices

Learn how Cyient helps medical device makers shift from Windows CE to Linux, ensuring compliance, security, better performance, and future-proofing for healthcare needs.

Explore how EchoWrks automates fetal biometry with AI-powered 3D visualization, improving accuracy, streamlining workflows, and enhancing prenatal care for mothers and babies.

Gain insights into the U.S. FDA drug approval process with Cyient’s expertise, covering key regulatory steps, challenges, and safety considerations for market success.

Cyient converts 3D DICOM images into interactive models, aiding cardiac procedural planning, surgical precision, and personalized care with 3D printing.

Cyient’s research uses hyperspectral imaging and deep learning with CNNs to assess fruit ripeness, optimizing agricultural processes and quality analysis.

Cyient optimizes TinyML for edge devices using compression, quantization, and pruning to reduce inference time and enable real-time AI in healthcare, IoT, and wearables.

Decoding De Novo Submission Process For Medical Devices in the US

An in-depth overview of the De Novo submission process, outlining the key steps, documentation requirements, considerations, and challenges faced by manufacturers seeking to obtain FDA clearance.

AI for Better Screening, Diagnostic, and Management of Digital Health Transformation

From monitoring our daily habits and calorie counting to keeping tabs on our mental health, digital well-being has come a long way, and our dependence on it is only poised to grow with innovations in AI/ML.

Overview of Medical Device Regulatory Affairs

Medical device regulatory affairs safeguard public health by controlling the safety and efficacy of products manufactured by medical device companies. Here’s how we will decode it.

Overview on Clinical Evaluation for Medical Devices

Understand the critical role of clinical evaluation in ensuring EU MDR compliance, securing CE marking, and maintaining the safety and performance of medical devices in Europe.

Embedded Software Testing

The embedded system testing takes time, effort, and money as it combines hardware and software components. Explore a variety of embedded software types, their testing needs, and automation solutions.

Decoding ASEAN Medical Device Directive (AMMD) and Accelerating Regulatory Compliance for ASEAN Market

Understand the background, objectives, structure, and potential impact of AMDD on the ASEAN market, the challenges of marketing medical devices, and how Cyient can help medical device companies.

Choosing the Right AI-Enabled Robotic Platform for Your Business

Guidelines for selecting the right robot to suit business needs and describes different components of the robot technology stack.

Software as Medical Device

Explore Software as a Medical Device and Medical Device Software, regulatory landscape, benefits, challenges faced by manufacturers and how Cyient can help various medical device companies.

Hyperspectral Imaging Based on Deep Learning on Google Colab

Discover Cyient's innovative approach to assessing fruit ripeness using a hyperspectral camera and a 2D Convolutional Neural Network (CNN) architecture.

Hyperspectral Imaging

Explore the intricacies of hyperspectral imaging, delving into its principles and instrumentation, and diving deep into its applications, majorly focusing on the healthcare industry.

Human Factors in Medical Devices

Understand the evolving role of human factors in medical devices and how modern, user-friendly devices—such as smartwatches, handheld scanners, and implants—are also prone to challenges and errors.

Three-Dimensional Visualization and Printing of Cardiac Anatomy for Interventional Procedural Planning

Discover the advancements in enhanced visualization techniques for medical imaging, particularly focusing on 3D DICOM images into detailed cardiac anatomy models.

TinyML Optimization Approaches for Deployment on Edge Devices

Explore the role of TinyML, a framework for compressing models, in improving the performance of medical Edge devices as the need rises for deep learning models in resource-constrained environments.