AdressStarting date: September 2024
Location: Sweden
Company: Mölnlycke Health Care
Are you looking for a master's thesis project in Artificial Intelligence (AI)?
This is an opportunity for you to contribute to transforming healthcare delivery and improving patient outcomes through the power of AI.
The AI Centre of Excellence (COE) at Mölnlycke is dedicated to harnessing the transformative power of AI in healthcare. Our vision is to advance Mölnlycke to the forefront of AI-augmented decision-making culture to improve patient outcomes and caregiver efficiency.
We are looking for one or two students to write their master's thesis with Mölnlycke AI COE. To join us on this exciting journey, you need to be a resident in Sweden and connected to a university in Sweden. We expect you to have knowledge of computer vision and deep learning techniques, as well as programming skills, preferably in Python.
Please submit your resume and a cover letter describing how your skills make you suitable for this project. Also, remember to submit your application in English.
Project proposal: AI-Powered Wound Depth Estimation
Wound assessment is like deciphering a complex puzzle. It involves evaluating not just the wound's size, but also its depth, tissue composition, and the condition of the surrounding skin. In the world of healthcare, this assessment plays a pivotal role, impacting patient outcomes and resource allocation. Accurate and efficient wound analysis is essential for healthcare practitioners to make informed decisions.
A crucial aspect of wound healing assessment is accurate wound depth assessment, which allows clinicians to evaluate the effectiveness of the treatment and adjust the therapeutic strategies accordingly. Traditional manual approaches to wound depth measurement suffer from several limitations, including subjectivity and susceptibility to inter-observer variability. Additionally, they are labor-intensive, time-consuming, and non-scalable, making them unsuitable for large-scale and long-term studies.
Automated wound care assessment tools have the potential of improving patient care, while reducing healthcare costs at the same time. By harnessing AI methods to obtain precise depth maps, doctors can swiftly diagnose wound healing, sparing patients from invasive examinations. This project aims to leverage computer vision and deep learning techniques to automate wound depth estimation and 3D reconstruction using wound images. By addressing the limitations of traditional methods, we can enhance wound assessment, treatment efficacy, and scientific research.
About Mölnlycke
Mölnlycke is a world-leading medical products and solutions company that equips healthcare professionals to achieve the best patient, clinical and economic outcomes.
Our business is organised in the four business areas Wound Care, Operating Room Solutions, Gloves and Antiseptics, where customer centricity, sustainability and digitalisation are at the heart of everything we do.
Mölnlycke employs around 8,400 people. The company headquarters are in Gothenburg, Sweden and we operate in more than 100 countries worldwide. Since 2007, the company has been part of Investor AB, an engaged owner of high-quality, global companies which was founded by the Wallenberg family in 1916. For more information, please visit www.molnlycke.com and www.molnlycke.com/careers
