Publications by authors named "S Pigorsch"

Background: Recurrent and metastatic head and neck squamous cell carcinoma (HNSCC) is characterized by a complex therapeutic management that needs to be discussed in multidisciplinary tumor boards (MDT). While artificial intelligence (AI) improved significantly to assist healthcare professionals in making informed treatment decisions for primary cases, an application in the even more complex recurrent/metastatic setting has not been evaluated yet. This study also represents the first evaluation of the recently published LLM ChatGPT 4o, compared to ChatGPT 4.

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Purpose: For women with locoregionally advanced cervical cancer, the standard of care treatment is the curatively intended chemoradiation therapy (CRT). A relationship between bone marrow (BM) dose-volume histograms (DVHs) and acute hematological toxicity (HT) has been debated recently. Aim of this study was the evaluation of BM dose constraints and HT in a contemporary patient cohort.

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Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplinary tumor board approach for individual treatment planning. In recent years, artificial intelligence tools have emerged to assist healthcare professionals in making informed treatment decisions. This study investigates the application of the newly published LLM Claude 3 Opus compared to the currently most advanced LLM ChatGPT 4.

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Article Synopsis
  • Cervical fibrosis (CF) significantly affects the quality of life and functionality of head and neck cancer patients post-radiotherapy, as it leads to tissue hardening.
  • A study involving 16 treated patients and 16 matched controls assessed tissue stiffness using shear wave elastography, focusing on the sternocleidomastoid muscle and nearby structures.
  • Results showed that treated patients had higher tissue stiffness across all types, particularly in muscle, but maintained normal cervical range of motion, indicating a complex relationship between radiation effects, aging, and tissue characteristics.
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Article Synopsis
  • Head and neck squamous cell carcinoma (HNSCC) is a complicated type of cancer that needs a team of doctors to decide how to treat it, and AI tools like ChatGPT are being tested to help with these decisions.
  • A study checked how well ChatGPT 3.5 and ChatGPT 4.0 could suggest treatment options for 20 patients with head and neck cancer during medical meetings.
  • The results showed that while both AI models provided helpful information, they sometimes suggested treatments that weren't recommended by doctors or were incorrect, meaning they are still more of a helper than a replacement for real doctors.
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