Leveraging Machine Learning Expertise for Healthcare Innovation: A Case Study in the Biomedical Market with Focus on Cervical Cancer Screening
(2024) BMEM01 20241Department of Biomedical Engineering
- Abstract
- The biomedical market is experiencing rapid growth, driven by the increasing volume of health data and the need for advanced technologies to manage and analyze this information. At the same time, the industry is facing additional challenges such as the shortage of healthcare professionals and an aging population. Artificial intelligence (AI) has the potential to become essential in this industry, playing a vital role in addressing these challenges, particularly in imaging diagnostics and predictive analytics. AI-driven solutions can enhance the accuracy and efficiency of medical diagnostics, ultimately improving patient outcomes.
Precise Biometrics, with its extensive background in machine learning, aims to leverage its advanced image... (More) - The biomedical market is experiencing rapid growth, driven by the increasing volume of health data and the need for advanced technologies to manage and analyze this information. At the same time, the industry is facing additional challenges such as the shortage of healthcare professionals and an aging population. Artificial intelligence (AI) has the potential to become essential in this industry, playing a vital role in addressing these challenges, particularly in imaging diagnostics and predictive analytics. AI-driven solutions can enhance the accuracy and efficiency of medical diagnostics, ultimately improving patient outcomes.
Precise Biometrics, with its extensive background in machine learning, aims to leverage its advanced image analysis and AI expertise to expand into the biomedical industry. This project explores potential areas within the biomedical industry that require AI solutions, ultimately offering suggestions for Precise Biometrics to effectively enter and thrive in this rapidly evolving market.
The study is divided into two main parts: a comprehensive analysis of the biomedical market and Precise Biometrics, and an investigation into promising biomedical areas for AI application. Through the usage of a literature review and frameworks for market and company analysis, the project identifies key opportunities and threats in the biomedical market and aligns them with the company’s strengths.
This alignment resulted in a selection and a closer investigation of five areas. The chosen areas were elderly care, screening, generative AI, cardiovascular health, and wound care. After evaluating these potential areas, cervical cancer screening emerged as the most viable for AI application. A proof of concept demonstrated an AI tool that assists cytotechnicians in identifying abnormal cells in pap smear images, thus streamlining the screening process.
The project results in multiple areas where Precise Biometrics can impact the healthcare industry by leveraging its AI and image analysis expertise. The suggested AI tool for cervical cancer screening demonstrates both feasibility and promising potential for implementation as well as exemplifies the company’s potential to enter the biomedical market and improve healthcare outcomes. (Less) - Popular Abstract (Swedish)
- AI för Livmoderhalscancerscreening: Nästa Kapitel i Sjukvårdens Utveckling?
Svensk sjukvård möter idag stora utmaningar med hårt belastad personal och ökande hälsodata. Samtidigt växer den medicintekniska marknaden snabbt med nya innovationer som präglas av framfarten av artificiell intelligens (AI). Men vilket område inom sjukvården har störst potential för AI?
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9165931
- author
- Hager, Tove LU and Hollsten, Anna LU
- supervisor
- organization
- alternative title
- Identifiering och Utvärdering av Potentiella Tillämpningsområden för Maskininlärning inom Hälsoinnovation: En Fallstudie inom den Medicintekniska Marknaden med Fokus på Screening för Livmoderhalscancer
- course
- BMEM01 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Biomedical Market, Medical Technology, Business Development, Innovation, Cervical Cancer, Screening, Women's Health, Artificial Intelligence, Machine Learning, Classification, Proof of Concept
- language
- English
- additional info
- 2024-16
- id
- 9165931
- date added to LUP
- 2024-06-24 12:49:43
- date last changed
- 2024-06-24 12:49:43
@misc{9165931,
abstract = {{The biomedical market is experiencing rapid growth, driven by the increasing volume of health data and the need for advanced technologies to manage and analyze this information. At the same time, the industry is facing additional challenges such as the shortage of healthcare professionals and an aging population. Artificial intelligence (AI) has the potential to become essential in this industry, playing a vital role in addressing these challenges, particularly in imaging diagnostics and predictive analytics. AI-driven solutions can enhance the accuracy and efficiency of medical diagnostics, ultimately improving patient outcomes.
Precise Biometrics, with its extensive background in machine learning, aims to leverage its advanced image analysis and AI expertise to expand into the biomedical industry. This project explores potential areas within the biomedical industry that require AI solutions, ultimately offering suggestions for Precise Biometrics to effectively enter and thrive in this rapidly evolving market.
The study is divided into two main parts: a comprehensive analysis of the biomedical market and Precise Biometrics, and an investigation into promising biomedical areas for AI application. Through the usage of a literature review and frameworks for market and company analysis, the project identifies key opportunities and threats in the biomedical market and aligns them with the company’s strengths.
This alignment resulted in a selection and a closer investigation of five areas. The chosen areas were elderly care, screening, generative AI, cardiovascular health, and wound care. After evaluating these potential areas, cervical cancer screening emerged as the most viable for AI application. A proof of concept demonstrated an AI tool that assists cytotechnicians in identifying abnormal cells in pap smear images, thus streamlining the screening process.
The project results in multiple areas where Precise Biometrics can impact the healthcare industry by leveraging its AI and image analysis expertise. The suggested AI tool for cervical cancer screening demonstrates both feasibility and promising potential for implementation as well as exemplifies the company’s potential to enter the biomedical market and improve healthcare outcomes.}},
author = {{Hager, Tove and Hollsten, Anna}},
language = {{eng}},
note = {{Student Paper}},
title = {{Leveraging Machine Learning Expertise for Healthcare Innovation: A Case Study in the Biomedical Market with Focus on Cervical Cancer Screening}},
year = {{2024}},
}