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Bilateral axillo-breast approach robotic thyroidectomy combines precision, enhanced visualization, oncologic effectiveness, and superior cosmetic recovery. Molecular diagnostics such as next-generation sequencing and microRNA classifiers support risk stratification and surgical planning. Artificial intelligence further refines nodule classification, predicts surgical risks, guides intraoperative navigation, and assists histopathological evaluation. Challenges remain in cost, access, and ethical 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is robotic bilateral axillo-breast approach thyroidectomy considered a transformation in differentiated thyroid cancer care?","Question",{"text":63,"@type":64},"It combines robotic precision and visualization with oncologic effectiveness and improved cosmetic outcomes, aiming to enhance recovery while addressing limitations of open surgery.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How do molecular diagnostics such as NGS and microRNA classifiers influence preoperative management?",{"text":68,"@type":64},"They help clinicians perform accurate risk stratification, supporting decisions about the surgical course and helping avoid overtreatment.",{"name":70,"@type":61,"acceptedAnswer":71},"What roles does artificial intelligence play across the thyroid cancer treatment pathway described in the review?",{"text":72,"@type":64},"AI improves nodule classification, predicts surgical risks, provides intraoperative navigation guidance, and supports postoperative histopathological 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Molecular Diagnostics and Artificial Intelligence in Thyroid Cancer Care  \nQiang Deng1, Xiaoping Men2, Duo Jin2 and Yuzhuo Bai1,*  \n1Department of Breast and Thyroid Surgery, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, 130000, 2Department of Clinical Laboratory, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin130000, China  \nAbstract  \nThyroid cancer is one of the most prevalent cancers in the world, accounting for the increased sensitivity of diagnostic assessments, the environment, and extensive imaging. While open thyroidectomy still forms the base surgical treatment of differentiated thyroid carcinoma (DTC), its visible scarring and postoperative morbidity have mandatorily propelled a longitudinal shift to minimally invasive techniques. Robotic thyroidectomy using the bilateral axillo-breast approach (BABA) is an emerging transformative technique that combines robotic precision and visualization with oncologic efficacy and superior cosmetic outcomes to enhance recovery. Molecular diagnostics such as next-generation sequencing (NGS) and microRNA classifiers have transformed preoperative planning. These tools aid in accurate risk stratification, enabling clinicians to determine the course of surgery and avoid overtreatment. Artificial intelligence (AI) enhances precision medicine by improving nodule classification, predicting surgical risks, providing intraoperative navigation guidance, and supporting postoperative histopathological evaluations. Despite these innovations, cost, accessibility, and ethical governance issues highlight persistent challenges. This review consolidates the current state of robotic-assisted surgery for thyroid cancer with molecular profiling and AI. It proposes future aims and strides toward precision surgery that is accessible worldwide.  \nKey Words: Thyroidectomy, Oncologic, Bilateral axillo-breast approach, Next-generation sequencing, Artificial intelligence  \nINTRODUCTION  \nThyroid cancer is one of the most frequently diagnosed cancers worldwide. Recent developments in diagnostics, as well as environmental and genetic factors, are potential contributors (Jin et al. , 2025) . According to GLOBOCAN estimations, thyroid cancer diagnosis cases in 2020 reached 586,000 with 43,646 which are 3.0 percent and 0.4 percent of total cancer cases and deaths, respectively (Sung et al. , 2021) . Although it ranks as the ninth most common cancer globally, the incidence exhibits a striking gender disparity, with women affected approximately three times more frequently than men (Limet al. , 2017) .  \nThe global distribution of thyroid cancer reveals notable heterogeneity. In South Korea, age-standardized incidence rates (ASRs) have surpassed 60 per 100,000 women and 15 per 100,000 men, primarily attributed to the introduction of widespread national screening programs in the early 2000s  \n(Majeed et al. , 2024) . This surge often termed the “thyroid cancer epidemic,” led to a near-tripling of incidence rates over a decade, with a peak observed in 2012 prior to a modest decline following public health interventions aimed at mitigating over-diagnosis (Grimm, 2022) . Similarly, in the United States, thyroid cancer incidence has risen nearly 300% since the 1970s, driven predominantly by increased detection of small, localized papillary thyroid carcinomas (PTCs), frequently identified incidentally through imaging modalities employed for unrelated clinical concerns (Reed and Mallick, 2017) .  \nFurthermore, countries in Europe, such as Italy, France, and Spain, and high-resource countries like Australia and New Zealand, have documented parallel increases due to enhanced access to technology that provides diagnoses (Gao et al. , 2025) . Unlike most of the continent, South Asia, and Latin America report substantially lower incidence rates. However, these figure","cbCaimu08dpp69Q9","https://ap.wps.com/l/cbCaimu08dpp69Q9","pdf",29400040,"English","# Abstract\n# Introduction\n## Global burden and epidemiology\n## Geographic heterogeneity and screening effects\n## Treatment principles and surgical evolution\n# Robotic surgery integration","[{\"question\":\"Why is robotic bilateral axillo-breast approach thyroidectomy considered a transformation in differentiated thyroid cancer care?\",\"answer\":\"It combines robotic precision and visualization with oncologic effectiveness and improved cosmetic outcomes, aiming to enhance recovery while addressing limitations of open surgery.\"},{\"question\":\"How do molecular diagnostics such as NGS and microRNA classifiers influence preoperative management?\",\"answer\":\"They help clinicians perform accurate risk stratification, supporting decisions about the surgical course and helping avoid overtreatment.\"},{\"question\":\"What roles does artificial intelligence play across the thyroid cancer treatment pathway described in the review?\",\"answer\":\"AI improves nodule classification, predicts surgical risks, provides intraoperative navigation guidance, and supports postoperative histopathological evaluations.\"}]","Integrating Robotic Bilateral Axillo-Breast Approach Thyroidectomy with Molecular Diagnostics and Artificial Intelligence in Thyroid Cancer Care | PDF",1790191247]