News

Planmeca and FCAI collaboration: Machine learning for oral and maxillofacial imaging

Academy-industry collaboration can be a real win-win. In FCAI's new video series, we present successful collaborations. The second video in the series is about collaboration between FCAI, health equipment manufacturer Planmeca and Tampere University Hospital.
A man and a woman looking at computer screen.
Photo: Planmeca archives

Finding the dental nerve root canal and determining its size is usually time-consuming. Now, it can be automatically identified through machine and deep learning methods, making the work of healthcare professionals faster and easier, in addition to making the treatment safer.

The project grew out of cooperation with FCAI and from the very start involved clinicians from Tampere University Hospital. “They also greatly influenced the choice of research topics. It was important for us to that the topics were selected so that they will have real clinical impact. Segmentation of the mandibular nerve canal and marking of cephalometric points in 3D images were selected as research topics”, says Research Manager Ari Hietanen from Planmeca.

Innovating in the healthcare space requires knowledge and skills from many domains, which is why the three-way collaboration of FCAI, Planmeca and Tampere University Hospital makes for a winning combination. The necessary data and clinical expertise come from the hospital clinicians, methodology research and expertise from the university, and technical application and business expertise from the company.

Planmeca has been one of FCAI's original partners since May 2018. The funding received through this cooperation has especially supported Jaakko Sahlsten, a dissertation researcher with Professor Kimmo Kaski, and Joel Jaskari, a dissertation researcher with Professor Simo Särkkä. They have developed deep learning methods for the project and actively published their results. “Publications constitute an important part of the collaborative project. They advance the theses of PhD students and provide critical information for the medical experts”, says Sahlsten.

For Planmeca, the collaboration means new and significant business opportunities. “Our main products are digital X-ray machines and dental units. It has always been important for us to be at the forefront of development, and we have invested heavily in research and development. Machine learning solutions are a natural extension of this, as they will be an important part of future technology solutions”, says Hietanen.

Further information

Terhi Kajaste

Terhi Kajaste

Manager, Corporate Relations, Artificial Intelligence, FCAI

Read more about FCAI and Planmeca collaboration

Computer image of human skull and jawline

University collaboration brings a scope of new possibilities for Planmeca’s business

FCAI, Planmeca and Tampere University Hospital have developed an artificial intelligence method that helps, for example, with the placement of teeth implants.

News
CBCT scan showing the location of the mandibular canals in the lower jaw

AI makes dentists’ work easier – new model helps localise the mandibular canals

Finnish researchers developed a new automatized way to localise the mandibular canals

News
FCAI

Finnish Center for Artificial Intelligence (external link)

The Finnish Center for Artificial Intelligence FCAI is a research hub initiated by Aalto University, the University of Helsinki, and the Technical Research Centre of Finland VTT. The goal of FCAI is to develop new types of artificial intelligence that can work with humans in complex environments, and help modernize Finnish industry. FCAI is one of the national flagships of the Academy of Finland.

  • Published:
  • Updated:

Read more news

Group Picture
Cooperation Published:

DeployAI Partners Gather for Heart Beat Meeting in Helsinki

The European DeployAI project's partners gathered for the Heart Beat meeting hosted by Aalto University Executive Education in Helsinki.
AI applications
Research & Art Published:

Aalto computer scientists in ICML 2024

Computer scientists in ICML 2024
Photo: Tima Miroschnichenko, Pexels.
Press releases Published:

In low-hierarchy organisations, even key policy issues are discussed in Slack

In a recent study, Aalto University alumn Lauri Pietinalho, a visiting scholar at New York University's Stern School of Business, and Frank Martela, an assistant professor at Aalto University, investigated how low-hierarchy organisations deal with shared policies in confrontational situations and how authority functions within them.
bakteereja ohjataan magneettikentän avulla
Press releases, Research & Art Published:

Getting bacteria into line

Physicists use magnetic fields to manipulate bacterial behaviour