A | Around 87 percent of Indian professionals believe that sharing emotions at work could be the secret to better staff morale in the world of work, a recent study by LinkedIn revealed.,The survey revealed that nearly two-thirds (63 percent) of those polled admitted to having cried in front of their boss, and 32 percent said that they had done so more than once.,Although some Indian professionals were getting more comfortable than they previously had been about expressing their feelings at work, seven in 10 still felt that there was a stigma about sharing feelings at work.,Because of this, more than a quarter of employees are still worried about revealing their emotions for fear of looking weak (27 percent), unprofessional (25 percent), and being judged (25 percent), according to the LinkedIn study.,Employees hailing from the Gen Z (73 percent) and millennial (79 percent) generations were leading the way in expressing themselves and feeling more comfortable than ever to open up at work. Gen Z (41 percent) and millennials (47 percent) also feel the benefits of flexible working, as they agree it has encouraged them to open up more often in front of their colleagues.,Women were found to be bearing an unfair burden of emotional expression: almost four in five (79 percent) professionals in the country agreed that women were often judged more harshly than men were when they opened up about their emotions at work.,Ashutosh Gupta, manager of LinkedIn India, said: “The past two years have been tumultuous, to say the least, but have also made people realize that they can be more honest with each other at work.",To accommodate employees' changing needs to express emotions, LinkedIn also launched a new feature, ‘Funny Reaction’, for its members.。
快科技8月24日消息，据阿里巴巴公众号消息，近期，阿里巴巴达摩院联合中国医科大学附属盛京医院等机构研发出肝癌诊断AI模型DAMO LiON，可通过CT影像识别微小的肝脏癌变病灶。
在两个月的真实世界前瞻临床试验中，DAMO LiON发现了15例原本被遗漏的恶性肿瘤，绝大部分为1厘米左右的病灶，帮助患者得到及时的手术或药物治疗。相关论文登上国际顶级学术期刊《自然·医学》（Nature Medicine）。据介绍，DAMO LiON模型作为“AI安全员”协助医生阅片，既能精准识别原发性肝癌，更擅长揪出容易被忽视的肝转移。实验结果显示，AI模型识别出恶性肿瘤的准确率高于放射科医生。
B |
当医生用AI模型协助阅片，用时减少了27%，而对恶性肿瘤的敏感性更提高了11.5%，有效减少漏诊；在AI协助下，初级医生能达到资深医生水平。研究团队随后将AI模型实际部署到医院，参与日常阅片，当AI与医生初诊结论不一致时，病例会交给资深放射科医生复核，必要时升级至多学科团队（MDT）讨论。
C | 两个月内，AI共阅读1万多名患者的增强CT影像，辅助医生抓出15例原本被忽略的肝转移，推动改变了这些患者的治疗方案。据官方介绍，早在2017年，达摩院在行业内率先提出用AI识别医学影像中人眼难以察觉的细微病灶。目前已先后研发出基于平扫CT的胰腺癌筛查AI模型 DAMO PANDA、胃癌筛查AI模型DAMO GRAPE、肠癌筛查AI模型DAMO COCA等，相关成果三次登上《自然·医学》，进入国家药品监督管理局的创新通道，并获美国食品药品监督管理局（FDA）“突破性医疗器械”认定。
