Rajamäki, Finland

Mikko Oskari Hakala

This inventor holds 20 USPTO granted patents and 4 published patent applications and 3 EPO patents, primarily in Radiation Therapy. Top assignees: Siemens Healthineers International Ag, Varian Medical Systems International Ag. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mikko Oskari Hakala. Retrieved from https://idiyas.com/inventor/mikko-oskari-hakala

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 20 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Helsinki, FI (2022 - 2024)
  • Rajamäki, FI (2022 - 2024)
  • Rajamaki, FI (2023 - 2024)

Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Machine Learning
Radiation Therapy
Dose Volume Histogram
Treatment Planning
Artificial Intelligence
Neural Network
Beam Geometry
Clinical Target Volume
Reinforcement Learning
3D Dose Distributions
Therapeutic Radiation
Optimization
20 patents (USPTO):Explore Patents

Title: The Innovative Mind of Mikko Oskari Hakala

Introduction

Mikko Oskari Hakala is a prominent inventor based in Rajamäki, Finland. He has made significant contributions to the field of radiation therapy through his innovative approaches and technologies. With a total of 14 patents to his name, Hakala continues to push the boundaries of artificial intelligence in medical applications.

Latest Patents

Hakala's latest patents include groundbreaking systems and methods for training artificial intelligence models specifically for radiation therapy. One notable patent focuses on iteratively training these models using reinforcement learning techniques. The training agent applies random radiation therapy treatment attributes based on previously performed treatments, optimizing the model's performance through exploration and exploitation. Another significant patent involves the machine learning-based generation of three-dimensional dose distributions for patient volumes not included in the training corpus. This model predicts dose distributions for specific patient needs, enhancing the precision of radiation treatment plans.

Career Highlights

Throughout his career, Mikko Oskari Hakala has worked with leading companies in the medical technology sector. Notably, he has been associated with Siemens Healthineers and Varian Medical Systems. His work in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in radiation therapy.

Collaborations

Hakala has collaborated with talented professionals in his field, including Esa Kuusela and Elena Czeizler. These partnerships have fostered

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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