1 / 4

Integrating and Analysing Health Data with Artificial Intelligence

Discover how Artificial Intelligence is revolutionizing healthcare data integration and analysis. Explore the power of AI in improving health outcomes.

Fortunes2
Download Presentation

Integrating and Analysing Health Data with Artificial Intelligence

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IntegratingandAnalysingHealthData withArtificialIntelligence Significantshiftsarneededinthehealthcaresystem.Almostevery aspectofpatientcaremightbenefitfromtechnologicaladvances,from diagnosingandmanagingchronicconditionsandcancertoradiography andriskassessment. Artificialintelligenceispositioned tobetheenginethatpushesadvances acrossthecarecontinuuminlightofshiftingpaymentsystems,rising patientexpectations,andphenomenalgrowthin availabledata. Artificialintelligence(AI)hasseveraladvantagesoverconventionaldataanalysismethodsandmedicaljudgment.Algorithmsthatlearnfrom datacanimprovewithuse,providingdoctorswithnever-before-seen insightsintopatientdiagnoses,procedures,andtreatmentvariationand outcomes. TheRoleofAIinReshapingtheHealthCareSector Thehealthcareindustryhasbeenradicallyalteredbytheadvent of artificialintelligence(AI).Moreprecisediagnoses,individualized treatmentapproaches,andbetterhealthoutcomeshaveresultedfromits incorporationintonumerousfacetsofpatientcareandmedicalresearch. Artificialintelligencehelpsdoctorspinpointthecausesofdiseasesby analyzingmassiveamountsofclinicaldatainrecordtime.Predicting patientoutcomesusingelectronichealthrecordsandanalyzing radiologicalimagesforearlydiseaseidentificationarejusttwoexamples ofthemanyapplicationsofartificialintelligenceinhealthcare.Asa result,healthcaresystemshavebeensmarter,faster,andmoreefficient, allowingthemtogivebettertreatmenttomorepeople.Healthcare providers,insurancefirms,andthelifesciencesindustryarealready reapingbenefitsfromusingAIinvariousforms.Let'sexamineahandful

  2. ofthemanywaysinwhichartificialintelligencehasimproved healthcare. TechnologyforScanningandUltrasoundImaging Advancedopticalcharacterrecognition(OCR)approachesallowAIto classifyadocumentbyevaluatingitsdata.Top-tiertechnologyincludes automaticfilescanning,documentclassification,andpreciseprocessing. AI-poweredultrasoundtechnologycouldacceleratemedical ultrasonography'swidespread applicationinclinicalsettings.TheAI modelignoresnon-imagingclinicaldatabecauseitcanonlyaccountfor trainingdata.Thus, 'personalizeddiagnosticimaging,'AImodels incorporatingimagingandelectronichealthrecorddatarepresenta promisingnewhealthcareAIresearchfield. FutureresearchwillenhanceourknowledgeofAIinhealthcarebeyond scanningandultrasoundequipmenttocustomerrecordmanagement. Data ManagementforCustomers Healthcareinnovationgenerallybeginswithdatacollectionandanalysis, suchaspatientandpracticedata.DataadministrationcouldbeeasedwithAIanddigitalautomation. Robotsmechanizedatacollection,reformatting,storage,andtracking. AI-poweredIoTsolutionsfromtrustedvendorshavebeenworkingwith hospitalstocreateindustry-widesolutions. ThemedicalprofessionisaBigDatafrontiertoconquer.Valueddata maybedisregardedinfavoroflessimportantdata,costingthesector billionsannually.Correctdiagnosisandefficienttreatmentareeasierby linkingcrucialdataelements. SeveralhealthcareinstitutionsareusingAItopreventdataloss.It would takeyearstosplitandconnectimportantdatawithoutAImanually.

  3. HealthcareAssistants Virtualhealthassistantsscheduledoctor'sappointments,remindpatients offollow-upvisitsandclinicalmeetings,answerroutinepatientcallsandemails,andsecuretheirmedicalinformation. Thisisgeneratedthroughcognitivecomputing,augmentedreality,and theuser'sbodyandvoice. Augmentedreality(AR)andcognitivecomputing(CC)helpexciteand solvedifficulthumanconcepts.It'soneofthemostusefulAIsin healthcarebecauseitgiveseachindividualapersonalizedapproachto healthmanagementandanswersalltheirinquiries.Thosewhobenefit fromfewertripstothehospitalincludepatientsanddoctors. AnalysingHealthCareData AIisorganizingmedicaldatausingdeeplearningandreductiontoassist doctorsandresearchersinunderstandingthemassivedatawarehouse. Artificialintelligenceishelpingdoctorstrackmedicalresearchand speedupdiscovery.Itentailsstudyingviralstrainhistoriesandassessing clinicaltrialstoevaluatevaccines,drugs,andothertreatments.Andnew perspectivehelpsusappreciateAI'smedicaldataanalyticcontribution. IdentifyingCancer Diseaseslikecancercannowbediagnosedmoreaccuratelyandatan earlierstagewiththehelpofAI.AccordingtotheNationalCancer Institute,AItechnologieslikedeeplearningandmachinelearningcan improvecancercareandthesurvivalratesofpatients.Researchers gatheredover13,000imagesofcolorectalcancerfrom8,803patients and13cancercentersinChina,Germany,andtheUnitedStates.After techniciansrandomlychosephotographs,researchersdeveloped machinelearningsoftwarebasedonthoseimages.

  4. Colorectalcancerisamajorsourceofcancer-relateddeathsinthe UnitedStatesandEurope,andastudyrevealsthatthisprogramcan detectthisdiseaseinitsvisualmanifestations. Conclusion AIisimprovingambulanceroutesandwaittimesusingreal-timedata. ConversationalAIimproveschatbotsforpatientassistance,health monitoring,andpersonalizednotifications.Someprogramsmayconduct in-depthhomevisitstoassessthepatient'ssymptomsandhistoryand offertreatmentoraspecialistreferral.

More Related