Ethical AI – Perspectives from Patient Advocates: Ethics and Emerging Technology

19/04/2024.

This blog is the next in a series of 5, to discuss the results of the Ethical AI workshop at MPNE Consensus Data 2024.

iToBoS project presented in Automation & Robotics Expo 2024

14/04/2024.

iToBoS project was presented in A & R Expo, the first Automation & Robotics Expo in Greece, which brought together key stakeholders in the research and industry to showcase the latest advancements and technology in the field of automation and robotics.

Challenges and limitations of AI in pathology

10/04/2024.

Artificial intelligence in medical applications is always faced with a series of difficulties. The challenges range from the quality of input data and model performance to ethical problems.

Foundation Models: The Benefits, Risks, and Applications

9/04/2024.

Foundation models have taken the world of AI by storm. These pre-trained powerhouses have revolutionized natural language processing, computer vision, and speech processing, remarkable advancements in various domains.

Generative AI: Health Care Solutions

8/04/2024.

Generative AI, a rapidly evolving subset of artificial intelligence, transforms how we create and interact with digital content. 

Have a look at iToBoS scanner prototype

5/04/2024.

Have a quick look at the iToBoS scanner prototype at the Bosch Manufacturing Solutions facilities.

Edge Computing Platforms for Medical Applications

4/04/2024.

The demand for mobile and multitask devices has shifted the focus of research towards embedded systems and microcomputers.

Use of Neural Radiance Fields in the Medical Domain

3/04/2024.

Understanding the geometry of an existing scene and being able to use this knowledge to produce (and refine) data, is an important task in any research field, particularly in the medical domain where the study and understanding of 3D structures of interest play a crucial role in abnormality detection.

Streamlining Operations: isahit's Management in iToBoS Project

2/04/2024.

The iToBoS project is a demonstration of collaborative efforts, where multiple partners combine their specialized knowledge towards a common objective.

How isahit's expertise and diversified workforce is enhancing Melanoma Research?

1/04/2024.

Precision and diversity are crucial in melanoma research, and isahit's approach to data annotation reflects this necessity.