This tutorial shows how to use ClearML to manage MONAI experiments. Originating from a project co-founded by NVIDIA, MONAI stands for Medical Open Network for AI. It is a domain-specific open-source PyTorch-based framework for deep learning in healthcare imaging. This blog shares how to use the ClearML handlers in conjunction with the MONAI Toolkit. To view our code example, visit our GitHub page.

When considering some of the latest statistics related to Health Insurance Portability and Accountability Act of 1996 (HIPAA) violations and consequences, ensuring compliance is more critical than ever. For example, healthcare data breaches are increasing year-over-year, yet 75% of healthcare organizations say their infrastructure is not prepared to respond to cybersecurity threats effectively. HIPAA is a U.S. federal law.

A patient interaction turned into clinician notes in seconds, increasing patient engagement and clinical efficiency. Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas.

As medical technology becomes more connected, ensuring the security of medical devices is vital. Technology advances, bringing new opportunities for innovation and to improve the lives of patients — but emerging technology also presents opportunities for malicious actors.

The U.S. Food and Drug Administration (FDA) regulates several industries in the United States. Medical devices. Food and beverages. Cosmetics. Each industry has its own regulations that must be met to gain FDA approval. But complying with regulations and getting FDA approval is a time- and resource-intensive process. Follow along or jump to the sections that interest you: See Traceability In Helix ALM.

From electronic medical records and monitoring devices, to personalized medicine and real-time decision-making, data is critical at every turn within modern healthcare. However, the sheer volume and complexity of healthcare data is posing increasing challenges on medical centers and professionals.

In the realm of technology, fields such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Data Science have witnessed remarkable advancements that shape the future of our world. However, as these industries flourish, the lack of diversity within their ranks has become glaringly apparent. At Cigniti, we believe in ‘building bridges and embracing togetherness’ and are committed to Diversity, Equity, and Inclusion in technology.

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert. Ninety-four percent of surveyed health system senior executives said the nursing shortage is critical.

Get a comprehensive overview of healthcare app development, the features required, and the steps you'll need to take from ideation to launch.

One of the largest health insurance providers in the United States uses Unravel to ensure that its business-critical data applications are optimized for performance, reliability, and cost in its development environment—before they go live in production. Data and data-driven statistical analysis have always been at the core of health insurance.