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简介：AbstractDiabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is increasing. Early detection and intervention can help change the outcomes of the disease. The rapid development of artificial intelligence (AI) in recent years has led to new possibilities for the screening and diagnosis of DR. An AI-based diagnostic system for the detection of DR has significant advantages, such as high efficiency, high accuracy, and lower demand for human resources. At the same time, there are shortcomings, such as the lack of standards for development and evaluation and the limited scope of application. This article demonstrates the current applications of AI in the field of DR, existing problems, and possible future development directions.

简介：ChinesescholarshaverealizedtheimportanceofArtificialOrganresearch.TheScienceandTechonlogyCommitteeofChinasetupaspecialworkinggroupin1978inordertodeveloptheresearchprojectsofartificialorgans.TheChineseSocietyofBiomedicalEngineeringestablishedtheArtificialOrgansSocietyandsince1982itholdsconferenceseverythreeyears.

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简介：Inthispaper,weproposeanewartificialantalgorithmforsolvingconstrainedoptimizationproblemsingeneralcase.Numericalexamplesshowthatitiseffectiveandrobust.

简介：Beginningwiththeanalysisofthebehaviorofnaturalants,thispaperilluminatestheprincipleandmethodthat,byadoptingimagetextureenergyaspheromoneandfindingtheirwayonthetrackofthepheromone,artificialantshavetheabilitytoidentifyandrememberthroughsimilarmeasurementofpheromone.Basedonthequantityofexperiments,thispaperanalyzessomefactorsthatinfluencetheabilityofartificialantsanddrawssomeconclusionsaboutthelawofantperception.

简介：Astheprogressofvascularsurgery,artificialvesselshavebecomethesubstituteforlargeandmiddlediametervesselsbuthavenotforsmalldiameteronesowingtothrombogenesisandocclusionwithinashortperiodoftimeafterbeingapplied.ArtificialvesselendothelializationisoneoftheidealmethodstoresolvesuchissueandhasbeenimprovedcontinuouslysinceHerring1in1978putforwardthisterminthefirsttimeandutilizedvascularendothelialcells(ECs)harvestedfromlivinganimalstoperformthetestofartificialvesselendothelialization.

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简介：AbstractArtificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy at all levels. It will compensate for humans’ errors and limited capabilities by bringing more accuracy, consistency, and higher speed, making endoscopic procedures more efficient and of higher quality. AI showed great results in diagnostic and therapeutic endoscopy in all parts of the GI tract. More studies are still needed before the introduction of this new technology in our daily practice and clinical guidelines. Furthermore, ethical clearance and new legislations might be needed. In conclusion, the introduction of AI will be a big breakthrough in the field of GI endoscopy in the upcoming years. It has the potential to bring major improvements to GI endoscopy at all levels.

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简介：AbstractThe wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an increasingly serious issue that threatens global health and imposes an enormous burden on society and the economy. To avoid the crisis of AMR, we have to fundamentally change our approach. Artificial intelligence (AI) represents a new paradigm to combat AMR. Thus, various AI approaches to this problem have sprung up, some of which may be considered successful cases of domain-specific AI applications in AMR. However, to the best of our knowledge, there is no systematic review illustrating the use of these AI-based applications for AMR. Therefore, this review briefly introduces how to employ AI technology against AMR by using the predictive AMR model, the rational use of antibiotics, antimicrobial peptides (AMPs) and antibiotic combinations, as well as future research directions.

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简介：ＯＢＬＣＤＯＭＡＩＮＤＥＣＯＭＰＯＳＩＴＩＯＮＦＯＲＡＲＴＩＦＩＣＩＡＬＣＯＭＰＲＥＳＳＩＢＬＥＥＱＵＡＴＩＯＮＬｉｎＭｉｎｇｓｅｎ（林明森）；ＨｕａｎｇＬａｎｃｈｉｅｈ（黄兰洁）（ＲｅｃｅｉｖｅｄＤｅｃ．１７，１９９４；Ｃｏｍｍｕｎｉｃａｔｅｄｂｙ...

简介：Theauthorreviewsthecontinuous10years’studyofALSSinthehospitalandprospects:1.thedevelopmentofanimalmodelsofischemiahepaticnecrosisandjaun-dicefortheevaluationofALSS,includingthemodelsofhepaticnecrosisbyyellowphosphorus,hepaticnecrosisinratsbyD-aminogalactose,jaundiceindogs,2.ThepresentstatusoftheresearchforALSSintheworld:Researchersintheworldhavemadeinvestigationsandclinicalapplicationsforyearsinthefollowingaspects:(1).

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