Primary stratification and identification of suspected corona virus disease 2019(COVID-19) from clinical perspective by a simple scoring proposal

In this Commentary,we would like to comment on the article titled"A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV)infected pneumonia(standard version)"as a featured article in Military Medical Research.In the guideline,except for"confirmed cases","suspected cases","close contact"and"suspicious exposure"were defined by clinical perspective based on epidemiological risk,clinical symptoms and auxiliary examination.Combined with our experience,we introduced a simple scoring proposal additionally based on not only CT imaging as strongly recommended by the guideline but also blood routine test,especially for primary screening of such patients in the out-patient department.

The standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in the macular region based on fundus color photography

With the popularity and development of artificial intelligence(AI),disease screening systems based on AI algorithms are gradually emerging in the medical field.Such systems can be used for primary screening of diseases to relieve the pressure on primary health care.In recent years,AI algorithms have demonstrated good performance in the analysis and identification of lesion signs in the macular region of fundus color photography,and a screening system for fundus lesion signs applicable to primary screening is bound to emerge in the future.Therefore,to standardize the design and clinical application of macular region lesion sign screening systems based on AI algorithms,the Ocular Fundus Diseases Group of Chinese Ophthalmological Society,in collaboration with relevant experts,developed this guideline after investigating issues,discussing production evidence,and holding guideline workshops.It aimed to establish uniform standards for the definition of the macular region and lesion signs,AI adoption scenarios,algorithm model construction,dataset establishment and labeling,architecture and function design,and image data acquisition for the screening system to guide the implementation of the screening work.

Guidelines for cervical cancer screening in China

In response to the incidence of cervical intraepithelial neoplasia and cervical cancer in China and global screening strategies,a collaborative effort was undertaken by seven Chinese medical associations to develop this guideline for cervical cancer screening.The guideline recommends high-risk human papillomavirus(hr-HPV)testing as the preferred method for primary screening,which should have been approved by authoritative institutions and clinically validated for primary screening.In areas without access to HPV testing,cytology can be used as an alternative.However,it is recommended to replace cytology with HPV-based screening as conditions permit.Cotesting(HPV testing in combination with cytology)is recommended for areas with sufficient medical resources,opportunistic screening populations,and partial special populations.The guideline recommends that individuals with a cervix initiate cervical cancer screening at the age 25 years and undergo HPV testing alone or cotesting every five years,or cytology alone every three years.Women over the age of 65 who have had documented adequate negative prior screening in the past may terminate screening.Corresponding screening programs are proposed for different special populations.The development of these guidelines is an important step in the effort to eliminate cervical cancer in China.