Future-proofing geotechnics workflows: accelerating problem-solving with large language models

The integration of Large Language Models (LLMs) like ChatGPT into the workflows of geotechnical engineering has a high potential to transform how the discipline approaches problem-solving and decision-making. This paper delves into the innovative application of LLMs in geotechnical engineering, as explored in a hands-on workshop held in Tokyo, Japan. The event brought together a diverse group of 20 participants, including students, researchers, and professionals from academia, industry, and government sectors, to investigate practical uses of LLMs in addressing specific geotechnical challenges. The workshop facilitated the creation of solutions for four different practical geotechnical problems as illustrative examples, culminating in the development of an academic paper. The paper discusses the potential of LLMs to transform geotechnical engineering practices, highlighting their proficiency in handling a range of tasks from basic data analysis to complex, multimodal problem-solving. It also addresses the challenges in implementing LLMs, particularly in achieving high precision and accuracy in specialized tasks, and underscores the need for expert oversight. The findings demonstrate LLMs' effectiveness in enhancing efficiency, data processing, and decision-making in geotechnical engineering, suggesting a paradigm shift towards more integrated, data-driven approaches in this field. This study not only showcases the potential of LLMs in a specific engineering domain, but also sets a precedent for their broader application in interdisciplinary research and practice, where the synergy of human expertise and artificial intelligence redefines the boundaries of problem-solving.Comment: Supplementary information will be available upon reques

Surgery to Avoid Stoma Construction in Invasive Prostate Cancer Extensively Infiltrating the Rectum

A 61-year-old man tested positive for occult urinary and fecal occult blood and was diagnosed with invasive prostate cancer extensively infiltrating the rectum. After scrutiny, he was diagnosed with cT4N1M0 prostate cancer, and androgen deprivation therapy (ADT) was initiated with a gonadotropin-releasing hormone antagonist. A prostatic rectal resection was performed 6 months after ADT began. The bladder and urethra were anastomosed, the anus was preserved intact, and the sigmoid colon was anastomosed to the anus. A temporary ileostomy was constructed to allow eating and to prevent fistula formation. The ileostomy was closed 5 months post-operation as the patient wanted to live without a stoma. Although the patient died of other disease factors, he remained untreated for 1 year and 7 months post-operation, and his symptoms and disease control were well supported. We report that we were able to perform stoma-free surgical treatment for prostate cancer extensively infiltrating rectum