This article reports a case of small cell lung cancer with chronic intestinal pseudo-obstruction as the initial manifestation in the Changzhou No.2 People′s Hospital, and reviews relevant literature reports in order to improve clinicians′ understanding of paraneoplastic syndrome associated with small bowel obstruction and reduce missed diagnosis and misdiagnosis.

Inflammatory bowel disease (IBD) is a complex, immune-mediated gastrointestinal disorder with ill-defined etiology, multifaceted diagnostic criteria, and unpredictable treatment response. Innovations in IBD diagnostics include developments in genomic sequencing, molecular analytics and gastrointestinal imaging, and have leverage above large data platforms to develop clinically meaningful artificial intelligence (AI) tools. Artificial intelligence, through machine learning, facilitates the interpretation of large arrays of data, and provides insight to improve IBD outcomes, especially with the application of deep learning. This review aims to summarize the recent progress of artificial intelligence in inflammatory bowel disease and its applications.

子宫肌瘤是育龄妇女生殖系统中最常见的良性肿瘤.目前临床广泛应用的保留子宫的手术方式为经腹和腹腔镜下子宫肌瘤剔除术.随着腹腔镜技术的发展以及器械的改进,在微创化及"无瘢痕"理念的引领下,经脐单孔腹腔镜下子宫肌瘤剔除术在临床上的应用越来越多.研究发现,其较传统手术具有手术切口更小,创伤更轻微,术后恢复更快的特点,并且可减少或隐蔽手术瘢痕,满足女性对美容的需求,给患者带来更人性化的关怀[1].但由于术中缺乏直接探查,尤其对于多发性子宫肌瘤,难以发现小肌瘤,导致术后复发率增加.因此,在单孔腹腔镜妇科手术经验积累的基础上,作者于2018年3月采用指探法辅助完成经脐单孔腹腔镜下多发子宫肌瘤剔除术,报道如下.