YKYanguo Kong

Yanguo Kong

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Yanguo Kong has a total of 22 co-authors. Here are the top co-authors by number of shared publications:

  • Xiangyi Kong

    Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing 100730, P. R. China

    2 shared publications
  • Bing Xing

    1 shared publication
  • Bolun Ai

    Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100021, China

    1 shared publication
  • Chen Li

    Department of Clinical Oncology, Peking University Shenzhen Hospital, Peking University Health Science Center, Peking University Shenzhen 518036, Guangdong Province, China

    1 shared publication
  • Hao Deng

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, Massachusetts 02114-3117, United States of America

    1 shared publication
  • Huanwen Wu

    1 shared publication

Latest Publications

    • 1 January 2019
      • Vol. 11  (5) , 2632-2640

    Artificial intelligence: a key to relieve China's insufficient and unequally-distributed medical resources

    by Xiangyi Kong, Bolun Ai, Yiming Kong, Lijuan Su, Yunzhou Ning, Newton Howard, Shun Gong, Chen Li, Jie Wang, Wan-Ting Lee, et al.

    In this manuscript, we firstly reviewed the challenges faced by China in its health care reform. Though Chinese governments have made tremendous efforts, problems like the difficulties and high expense in medical care and the nervous doctor-patient relationship have been reported a lot, whose key problem is the insufficiency of high-quality medical resource and the supply-demand imbalance. Presently, it's almost old news: artificial intelligence will overturn the existing medical model. Artificial intelligence technology will transform the medical sector and trigger an estimated $147 billion market during the next 20 years. We hereby pointed out the strengths of medical artificial intelligence and its potentials to relieve China's insufficient and unequally-distributed medical resources. Also, we analyzed China's advantages in developing medical Al due to its huge medical big data and China government's powerful promotion policy. Finally, we put forward some challenges for China to practice this.


  • Open Access

    Association of opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with nicotine dependence

    by Xiangyi Kong, Hao Deng, Theodore Alston, Yanguo Kong, Jingping Wang

    Association of opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with nicotine dependence Association of Opioid Receptor mu 1 (OPRM1) A118G Polymorphism (rs1799971) with Nicotine Dependence


  • Open Access

    Cholesteatoma in the Sellar Region Presenting as Hypopituitarism and Diabetes Insipidus

    by Xiangyi Kong, Huanwen Wu, Wenbin Ma, Yongning Li, Bing Xing, Yanguo Kong, Renzhi Wang

    Clinically significant sellar cysts unrelated to pituitary adenomas are uncommon. Intracranial cholesteatomas are also rare and are most common in the middle ear and mastoid region. We report an even rarer case of cholesteatoma in the sellar region-a challenging diagnosis guided by clinical presentations, radiological signs, and biopsy, aiming at emphasize the importance of considering cholesteatoma when making differential diagnoses of sellar lesions.We present a case of cholesteatoma in the sellar region in a 56-year-old man with hypopituitarism, diabetes insipidus, and cystic imaging findings. It was difficult to make an accurate diagnosis before surgery. We present detailed analysis of the patient's disease course and review pertinent literature.The patient underwent a surgical exploration and tumor resection through a transsphenoidal approach. Pathologic results revealed a cholesteatoma. The patient's symptoms improved a lot after surgery, and the postoperative period was uneventful. Taken together, the lesion's imaging appearance, pathological characteristics, and clinical features were all unique features that lead to a diagnosis of cholesteatoma.As we did not see such reports by Pubmed and EMBASE, we believe this is the first reported case of sellar cholesteatoma presenting in this manner. This article emphasized that cholesteatomas, although rare, should be considered part of the differential diagnosis of sellar lesions.