Artificial Intelligence in Bioengineering: Improving the Diagnosis and Treatment of Breast Cancer

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dc.contributor.advisorKalashnikova, Larysa
dc.contributor.authorJiao Rui
dc.date.accessioned2025-01-22T13:41:01Z
dc.date.available2025-01-22T13:41:01Z
dc.date.issued2024
dc.description.abstract48 sources were processed. Relevance: Medical artificial intelligence (AI) has evolved from assisted diagnosis to biotechnology, drug development, disease prediction, and health management, spanning four stages: auxiliary diagnosis, treatment, rehabilitation, and health management. It impacts smart hospital systems, chronic disease care, drug regulation, and epidemic monitoring, enhancing clinical diagnosis accuracy and flexibility while reducing reliance on human designers through autonomous learning. However, AI's "black box" nature and deep learning create risks, increasing medical uncertainties and legal disputes. The shift toward "AI decision-making with physician review" is reshaping medical practice. Article 49 of the Basic Medical Health Promotion Law (2020) supports AI's growth in healthcare, but its full benefits and risks remain uncertain, altering medical care duties as AI evolves. The purpose is to use artificial intelligence techniques to improve the efficiency and accuracy of medical diagnosis and treatment processes. The research object is to explore the potential applications and benefits of incorporating artificial intelligence technology into the field of bioengineering to enhance diagnostic and treatment processes. Tasks: 1. To review the existing literature on the application of Artificial Intelligence in bioengineering and healthcare. 2. To identify specific areas of bioengineering where Artificial Intelligence can be effectively utilised for diagnostic and therapeutic purposes. 3. To explore the capabilities of Artificial Intelligence techniques (e.g., machine learning and deep learning) in improving the accuracy and efficiency of diagnostic procedures. 4. To examine the potential impact of Artificial Intelligence on treatment planning, personalised medicine and patient prognosis in bioengineering. 5. To make recommendations for integrating Artificial Intelligence technologies into bioengineering practices to effectively improve diagnostic and therapeutic processes. The subjective of the research is the application of artificial intelligence in the field of enhanced medical diagnosis and treatment.
dc.format.extent79 с.
dc.identifier.citationJiao Rui. Artificial Intelligence in Bioengineering: Improving the Diagnosis and Treatment of Breast Cancer : Master’s thesis : 163 Biomedical Engineering / Jiao Rui. - Kyev, 2024. - 79 pages.
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/72123
dc.language.isoen
dc.publisherКПІ ім. Ігоря Сікорського
dc.publisher.placeКиїв
dc.subjectаrtificial intelligence
dc.subjectdisease prediction
dc.subjectcomputed tomography
dc.subjectnatural language processing techniques
dc.subjectspeech recognition technology
dc.subjectrobotic
dc.subject.udc004.8:61
dc.titleArtificial Intelligence in Bioengineering: Improving the Diagnosis and Treatment of Breast Cancer
dc.typeMaster Thesis

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