Xingyun Health Medical Servi ce Platform
XingyunIt is based on massive medical data•♦¥, driven by advanced data ana¶≈lysis technology, combined ★σ×with artificial intelligence computing> power, integrates various↓≈¶ data from medical equipment, electronγγ©≤ic medical records and oth ←er data, and uses AI tec₽£₽hnology to conduct in-depthλ>> analysis of these data.
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Pεβ☆ersonalized treatment for eac∞σh patient through a precise,¶Ω©↓ data-driven approach. Through γ∏↑★AI computing power, the accuracy of di→§≠÷sease prediction is imε<♣proved, and the diagnosis and treatmen♥λ≠t process is optimized, so as to achi₹ eve a one-stop medical ecological se♦←€rvice platform for early diagnosis, ea₹↕§♥sy treatment, and fast h§₹∑ealth.
1、Design Concept
Based on massive medical dat'✘a and advanced artifπ£icial intelligence ana©♣× lysis system, it can deeply ×☆analyze the health s∞≤γ♦tatus of patients.
δ£ By €$ analyzing electronic health records¶☆±, medical images, genomic data,'∞σ≤ and more, AI identifies diseas≤&e patterns and trends ♠↑to provide data-driven★≈¥✘ recommendations to doctors."✘<
ε↓→ This not only improves diagno•&stic accuracy, but also siβ♦mulates the outcome of the treatme₩×nt plan and customizes the tre ↓∏atment plan for the pat♠φσient to ensure that γit meets the specific h✔πealth needs.
§✘✔☆ Ultima>★π™tely, this technology helps dπ$↔βoctors make more accurate medical dec∑®isions, improving the quality of ±§medical care and patient outcomes.
2、Core
Provide comprehensive medical×₽¥ services through the integrati↑∏€±on of massive medical data and adv≈anced data analysis ↕≥technology.
Gather m₽≤σedical device data, electron ₽ ™ic medical records and other ☆ ±≤multi-source data, use AI tecε★<hnology for in-depth an¥§πalysis, and generate a co↓♦δmprehensive health file of patie→"<↑nts.
Improve treatment outcomes by cus¥≈₩tomizing a personalized treatαπ<φment plan for each patient through a pr↑★↑ecise, data-driven ap↕¶proach.
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Fine localization of lung♠π∑§ segment coordinates
3D reconstruction imag→£ing was used to accurately lo₩ ∞≤cate pulmonary nodules before surge≠∏ry.
What is pulmonary nodule coordinate→©¥ positioning?
Through the use of 3D reconstruction im¥£Ω®aging technology, the position of ₽↕σpulmonary nodules can be a∏λccurately located before sur≈δ gery, and whether there is variat≥≈ion and misalignment of targ♠♣ ≈et bronchus and blood vπ✔§essels can be determine♦↑d, effectively improving the safe↑™σ♠ty and accuracy of surgery and shorteni&≥ng the operation time.
Lun®€®§g anatomy is complex and individual dΩ♠ifferences are large, cδ₹an be described as "thousands of lungs€≤", coupled with the ever-cha¶÷✔nging size and locati>♣βon of each patient's nodules, t£☆₽o the minimally invasive surgery to '¶↕accurately remove lung lesions hasφ₩ brought great diffic≤♠ulties.
Pulmonary nodul→±e coordinate positio☆ ≈ning technology is a tool∏© to help the surgical operation more m≠σinimally invasive, more a∞₩₽ccurate, and retain mor∞ λδe lung function!
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Methylated blood test
Noninvasive liquid biopsy combiλγ₩ned with CT imaging AI to identify ben$£ign and malignant pulmonary n&σ★odules.
Product advantage
Noninvasive
Only 10 ML of peripheral∏↓ blood and imaging CT-DICασ★OM data were collected.
Profession
The findings were published i§÷©n the Journal of Clinical Investigat♥$ ion (2022 IF=15.9), The L a≈✘Ωncet Digital
Health (2022 IF=30.8); P∏γulmoSeekTM received CE Mark certificat≥↓φδion and China Expert Conse'★nsus on Early Lung Cancer Dia±σ&gnosis (2023 edition)
"Rec☆♥ommended; The benchmark €®has been IS013485:20™§£γ16 international certification.
Brain Power
NGS methylation detection Ω∏intelligent analysis + image π ©Al intelligent diagnosis to βΩ ensure stable produ✔≈ε÷ct performance.
Innovate
National invention patent to ensλ≤★ure accurate detection, AnchorIRIS♠ library construction technol¥∑ogy related invention patδ¥↔ent: methylated DNA detection method §©σ[Patent number:
ZL.20170063335.1], D≠≈NA ligase mediated DNA a♣αmplification technolo♦↔gy [Patent No. : 2017≥≠÷β10206888.8].
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Pulmonary nodules 3D in-depth analys≤±₽is service
Three-dimensional modeling analysiπβs
Compared with the two-dimensi <∏®onal plain scan image, the 3≥D modeled nodule will reveal €more morphological details and the re×™₩¥lationship with the surround&γing vascular tissue, which '•≈∏is easy for algorithms φδ≈↕and experts to judge.
Visual quantitative analysis
The three-dimensional nodules were comp<↕↓ared with the characteris®tics of 1.6 million mal'♥↔ignant nodules in the data"¥♣÷base to ensure that each subtle m> ≤↕alignant feature was adequa₩∏εtely quantified and eval∏•<$uated.
Rate of change analysis
Nodule changes reveal a lot of inf©∏★ormation, but it is difficult to id→≈↑entify the naked eye, and it is diffic¶β₩ ult to accurately incε•orporate it into the evaluation model i∏✔≤₩n the daily clinical pra₹≠ctice, our AA model is bet€φ ter to solve the problem.
Temporal memory network
The prediction of the prog≈©ression of malignant Ω÷✘←nodules, such as how long it ₹®αwill take to reach micro-infil≥φ'tration, is the key to s≤≥etting the review frequ&€ency. Our LSATM algorithm $≈∏accurately recommends the review•'✘ frequency based on ₽↑λγmassive training cases.
Pulmonary nodules 3D←"ε in-depth analysis serviceγ£
Service content
Cancer screening with 3-D reconstructioφΩ≥§n technique
Nodular detection result
Action recommendations and testing progγ£≤rams
3D imaging depth analysis of nod£π±γules
Applicable population
≤30 mm patients with sinβ∑gle or multiple nodules are anxious, heΩsitant about surgery, difficul$™"t to judge the nature o©f nodules, and not suitable f>&©or people who are not willing to do ↔←puncture
Pulmonary nodule reexamination ✘•↓←population
Product advantage
1、Authoritative major
Management verification methods were se✔♥lected into the screening gui♣♠£∏delines, and clinical verificati≥¥on was applied in a numbe♣r of first-class hospitals
2、Mass data analysis
It has a database of 1.6 mill€≤ion CT cases, and AI is compa↕↔§≠red with the database one by₹₩®• one to ensure detection accuracy
3、Non-invasive safety¶§Ω☆
There is no need to d <÷↑raw blood, just provid↓←•e CT-DICOM data
4、Comprehensive analysis
The nodules were evaluated comprehensiv≈λ¶ely regardless of lesion ✘§↓λlocation, age and sex
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Organoid individualized ™ drug sensitivity detect≠←£ion
Efficient and accurate screeni↔ ng of anti-tumor the'λ£ rapeutic drugs clinical testing service ≥∞s to assist cliniciaΩ">☆ns to develop precision dr★ ∞ug treatment plans f≠™or patients.
What is organoid drug sensitivity deβφtection technology?
Tumor organoid drug su σπ¥sceptibility detection te™λ✘chnology refers to the effect ev¶÷→aluation of multiple drug regi€ mens on patient-derived tumor organo♦≠♥✔ids, and the clinical drug≈ regimens that are morα$✘e suitable for the in ∏dividualized treatmeε×↔₽nt of tumor patients are select↔"ed after the clinical jud₩↓gment of doctors.
Tumor organoids are 3D miniεφ♠<ature tumors cultured♠↕ in vitro using tumor cells €₽&of tumor patients themselγ§ves, and are in vitro 3D models directl≥π∞$y derived from tumor tissues of patient±☆©s. It has been proved✘∞ to be highly consist₩$∞♦ent with the histopathological charε ≤ acteristics, molecula"♥r characteristics and drug sensitivity≤±£ of patients' tumors. It is ↑>≈called the "in vitro drug substi∏£tute" for cancer patients.
Tumor treatment is ever-chan$§✘εging, and the effective ¶ness of drugs for different patient>"♠s is often different. In v♣§₩itro drug sensitivity detectio•↕✘n of tumor organoids c≤≠™πan truly "substitute dr↓π€♠ug testing and precise drug selection"•≠ for patients, and achieve ↑greater clinical benefits f∑©or tumor patients.
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Individualized survival p±♥rediction Risk prediction ≥↑λfor lung cancer
Accurate prediction of survival o®¥←f patients with lung cancer after←£ surgery is helpful for medic♥☆•al staff, patients and their families t≈✔o comprehensively and Ωγobjectively understand the surviva¥φλl of patients, which can be used ©πto guide the auxiliary treatment aφ>nd management of patients, and pro≠φλvide scientific basis f"§↕or medical decision-making. Theδ★♥ traditional method is t →Ωo stratify the management of patien₽σts by tumor stage, bu∏✔®≠t there are great diffe♦πrences in the surviv♠×'≥al assessment of patients ¶ α with different stages or the same sta®∞€ge.
3、Product Advantages
AI technology provides π✘↔εtailored treatment solutions to improve∏♠↔ treatment outcomes and patien←♠✘t satisfaction.
Ai-dri★¶ven optimization of d☆φiagnosis and treatment processe☆ εs, improving medical efficiency€★, reducing misdiagnosis rates and tr ☆↕eatment costs.
From eα★≥↓arly screening to treatment manageme♣≠nt, we provide a full range of health s₽↕ervices to simplify th♦♣→e medical process and"₹σ enhance the patient experi¶≤λence.
4、Product Experience
Please scan the QR code "below to experience it<$→δ.
AI Interrogation——Dr.He
Based on the self-developed AI lar$β↓εge model, with massive $•medical data as the b✘≤<lueprint, constantly iteratin€✘g machine learning. Health butler as •→♦sistant around the user.
1、Design Concept
Based on the AI grand model, the€¶©↓ system is able to cλ≈ontinuously improve its understand¶₩☆ing of the healthcare field through c&←♥≈ontinuous learning and up×☆dating of medical kno©®≥>wledge.
It uses massive medical da♠→$ta and the latest research results t♣✘o update its knowledge base in real t ♥∞ime and provide scientific and acc₽π€ urate medical and health-relatedε÷£ content according to the needs of us <β☆ers.
2、Core
AI Grand Model utilizes large§ ε← amounts of medical >α©"data to continuously ✘ optimize and improve its iλ$ntelligent algorithms throug↔÷h a continuous machine learniΩ☆¶♣ng process.
This process inv≈∏∏≤olves extracting valuable patter¥ns and information from the dat↕₽$αa to support disease prediction, diagnoα sis, and the development of pers♠>onalized treatment plans.
By coδ≤¶ntinuously training a®≥nd adjusting the model'↓$, Yuefa AI is able to enhance it✔©≈♥s accuracy and efficiency in dealing ♥"♠δwith complex medical issues, thereby pr ♣$oviding more reliabl♥®δe decision support for $ healthcare professionals and∞φ improving overall patie↔×nt outcomes.
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Intelligent speech recogni↕♣•tion imaging
Using speech AI large model te∑₽™ chnology, which combines speech recogσ>nition and image proces≈"εsing technology, it ↔₩is used to generate or process βα images from voice comman€→εds. Users can generate image co>ntent through voice commands, o≥↑r analyze it through ∑∑voice annotations embedded in the •Ω€image.
Product Advantage
1、Simplified operation
Voice-controlled image processλ₩ing provides a more iΩαΩntuitive and convenient operating exp♥>↕erience.
2、Enhanced Interaction
Supports voice commands to< ₽ generate and edit images to im♣α↓≥prove user interaction.
3、Increase Efficiency
Speed up image generation a> nd processing and reduce manual tim↑≤∞e.
4、Supports Multi-mode Input
Combine voice and image &←to enrich information input and a ♣<>dapt to various application scenari©¶βos.
5、Intelligent Analysis
Voice input can provide con€✔★≠textual information tλ≈•₽o help analyze and process image ≠∞≠content more accuratφ£&ely.
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Medical report image recog♠¥ααnition
The ability to use c∞ omputer vision and mac¥"$γhine learning techniques to automatica✘£>≥lly analyze and interpret $λ→medical images. This c®©£apability can be app♦♥lied to a variety of m ↑÷edical reports and ima≠λ ges.
Product Advantage
1、Diagnostic efficiency
Automated image recognition can quick®±¥ly process large numbers of ima₩☆∞★ges, reducing the doctor's worklo®δ↔ad and thus speeding up th¥→e diagnostic process.
2、Accuracy
Advanced algorithms can r☆↔Ω₩educe human error and provide ₽εconsistent and accurate ←δdiagnostic support by learning f₽♠rom large sample data±±₹.
3、Make a decision
Provide visual and quantitative analy₹♦sis results to help doct≥¥↕βors better understand imag¥¥≠☆e information and make m≈"∑±ore accurate medical decisions.
4、Trace
Automated systems make it easy to•¥ store and retrieve images an≠✘d analyze results, supportinσ>λ♣g long-term tracking an"₽♣d comparison of disease progressi©♣on.
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Natural language proc ↔♦essing analysis
Fully unleash the super co₽λ→>mputing power of AI models, underφ×stand and generate natur×↓≥al language, and conduct var ≈ious types of convers¶≠ations, such as answering ∑ questions and providing sugge♦♦stions.
Product Advantage
1、Real-time interaction
Ability to respond to user →♦€¶input in real time and provide imme∑≈₽↕diate help and information.
2、Multi-domain support
It can handle a variety ₹♥•of topics, from daily problems to prof§×essional consultations>σ ☆, to meet different needs.
3、Improve efficiency
Automate conversations and c'↑ustomer support to reduce manual ser☆¥vice burden and increase s∏♥ervice efficiency.
4、Personalized experience
Ability to provide personalized respon ↓←&ses and suggestions based on use€ ±≈r input and context.
3、Product Advantage
Through continuous self-le☆α>arning, AI grand model keeps pace with ∑>The Times and constantly update "σ∑s and optimizes its medical knowledge≠ base. It can process ♣ ±and analyze user health data in reaδ< l time to provide accurate↑&π consultation and personalized health★ £Ω advice at any time.
The ability£♣π± to continuously learn enabl♣&¶es the model to adapt to new↓×← medical research findiσ<£ngs and health trends, ensuri₽πεng that the recommendations provi∞$"δded are always in lin±✘e with the latest medical sta®$¥ ndards.
By analyzin÷← ∑g a user's personal health dβ←ata, such as medical history, €₹♥≥lifestyle habits, and symptoms, the AI ε♦₩system is able to tailor recommendation₽¥$ s to each user to meet their un ≤ique health needs.
This impro®±∞♠ves the user experience,© enhances the effect of health ♠management, and helps♣♦×∞ users to prevent diseases '★" and improve their health status more Ω ≥effectively.
4、Product Experience ♠
Please scan the QR code beloλ©↔w to experience it.