Anatomy Mapper: Ringkesan AI lan programatik
Jelajahi model basa, visi, lan spasial Anatomy Mapper® kanggo interoperabilitas semantik, pelabelan anatomis, dokumentasi klinis, riset, lan pendidikan.
Konsep lan aplikasi
Jelajahi model basa, visi, lan spasial Anatomy Mapper® kanggo interoperabilitas semantik, pelabelan anatomis, dokumentasi klinis, riset, lan pendidikan.
AI lan model multimodal
Teknologi Anatomy Mapper® ndhukung kecerdasan buatan, machine learning, computer vision, natural language processing (NLP), model basa, model basa-visi (VLM), lan model multimodal. SEMANTIC COORDINATION™ nggandhengake teges karo lokasi ing saindenging basa, kode, gambar, lan target spasial.
Pelabelan kanonis lan interoperabilitas semantik
Katrangan anatomis kanonis, terminologi multibasa, pelabelan standar, lan konsep sing bisa dikode ndhukung data kesehatan sing terstruktur, interoperabel, lan siap AI. Pengidentifikasi AMID™ sarta teknologi AMCODE™ lan AMCODEX™ mbantu makili, ngatur, nggandhengake, lan ngganti informasi kesehatan ing peta, gambar, rekam medis, lan piranti lunak.
Pemetaan lan dokumentasi klinis
Pemetaan multidimensi sarta panargetan semantik lan spasial nyambungake lokasi-lokasi anatomis karo dokumentasi klinis. Konsep-konsep iki nyengkuyung panataning situs anatomis, temuan, distribusi, morfologi, diagnosis, lan prosedur, kalebu menehi label lan nglacak informasi saka wektu ke wektu.
Panaliten, pendhidhikan, lan obat presisi
Katrangan anatomis sing standar nyengkuyung pendhidhikan anatomi, data sing siap kanggo panaliten, lan dokumentasi sing bisa diulang maneh. Pasinaon kasus kita njlentrehake perpustakaan visual, model basa, lan pelacakan fitur-penyakit kanthi longitudinal, kanthi aplikasi kanggo kualitas data, analitik hilir, lan riset obat presisi.
Topik-topik iki nggambarake teknologi Anatomy Mapper lan penerapane. Akses lan panggunaan tetep tundhuk marang kebijakan panggunaan AI lan lisensi sing ditrapake. Data sing siap kanggo AI dudu idin kanggo ngumpulake materi utawa nglatih model.
Njlentrehake fitur lan teknologi, maca pasinaon kasus, utawa nakokake babagan integrasi kanthi lisensi.
Tumrap manungsa, mangga bukak https://edu.anatomymapper.com/jv
Pemetaan multidimensi adhedhasar standar
Sumber kanyatan baku tumrap AI, ngasilake data sing siap riset lan interoperabel
Ringkesan
Model Anatomy Mapper® nggawe standar lan ningkatake akurasi, presisi, lan reproduksibilitas katrangan situs anatomis. Peta lan model multidimensi kita nyederhanakake dokumentasi, ndhukung luwih saka 100 basa, ngasilake data kesehatan sing siap kanggo riset lan interoperabel, nggampangake obat presisi, lan liya-liyane. Kita ngasilake data kesehatan sing siap AI kanthi konsep sing bisa dikode lan Semantic Coordination™ model.
Peta lan basa Anatomy Mapper® minangka sumber kayekten kanggo model AI kanggo ngasilake katrangan lan pangkodean sing interoperabel kanggo anatomi. Model Semantic Coordination™ kepemilikan ngidini panargetan adhedhasar basa sing luwih apik kanggo lokasi-lokasi anatomis ing gambar. Basa Anatomy Mapper® diakoni minangka standar internasional, kanthi basa dhasar divalidasi lan diadopsi menyang ICD-11. Alur kerja Anatomy Mapper® ningkatake efisiensi klinis lan pelabelan data kanthi model sing gampang dingerteni tanpa mbutuhake kawruh medis nyata kanggo nggunakake. Portofolio IP Anatomy Mapper® bisa dimanfaatake ing model basa, model vision-language, lan model multimodal kanggo nyengkuyung AI kesehatan. Versi EDU Anatomy Mapper® gratis digunakake kanggo pangguna manungsa sing wis kadhaftar, lan ngasilake dhaptar lokasi kanggo temuan lan cathetan sing bisa ditempelake ing rekam medis pasien individu.
Teknologi Anatomy Mapper® ngowahi katrangan adhedhasar basa dadi visualisasi sing presisi, terkoordinasi, lan bisa ditargetake kanthi tepat. Teknologi iki uga ngolah basa sing wis dikodeake kaya dene ICD-11 kanggo ngasilake visualisasi sing presisi, terkoordinasi, lan bisa ditargetake kanthi tepat. Kajaba iku, model visual-basa kita nggambarake anatomi ing pirang-pirang dimensi kanthi bebarengan. Kapustakan visual anatomi lumahing awak Anatomy Mapper® adhedhasar basa sing wis divalidasi lan ditampa minangka standar internasional. Edisi kapisan kapustakan visual Anatomy Mapper® duwe luwih saka 1.6 yuta pasangan basa-visual mung kanggo anatomi lumahing awak sing disambungake menyang standar internasional sing divalidasi, lan model kita ngemot luwih saka 10 yuta parameter basa sing bisa dilatih mung kanggo anatomi lumahing awak. Nalika ngetung kaca pangilon (mirroring), ana luwih saka 3.2 yuta pasangan basa-visual lan 20 yuta parameter basa sing bisa dilatih mung kanggo anatomi lumahing awak. Model multimodal Anatomy Mapper® dadi sumber kanyatan baku kanggo Artificial Intelligence lan ngaktifake alur kerja sing migunani sacara klinis.
Kanggo katrangan luwih jangkep, pirsani
kaca Babagan
utawa
kaca Sinau Kasus.
Fitur Utama
- Dhukungan Maneka Basa: Normalisasi katrangan lokasi anatomi ing luwih saka 100 basa kanggo interoperabilitas global.
- Kompatibel karo FHIR: Integrasi kanthi gampang karo Epic lan EHR liyane liwat sumber daya standar FHIR.
- Model Semantic Coordination™: Model piranti lunak sing nranslasikake basa, kode, lan makna sing kadeteksi kanggo ngasilake target sing ana gandheng cenenge karo peta, gambar, obyek fisik, lan representasi digital.
- Data Siap Riset: Ekspor lokasi anatomi sarta metadata lan panemon kesehatan liyane ing format terstruktur (JSON, CSV) kanggo analisis lan uji klinis.
- Kapustakan Visual: Edisi kapisan kapustakan visual Anatomy Mapper® duwe luwih saka 3.2 yuta pasangan basa-visual lan 20 yuta parameter basa sing bisa dilatih mung kanggo anatomi lumahing awak.
Sumber Daya Publik
• Babagan piranti alus Anatomy Mapper
• Sinau Kasus Anatomy Mapper
• Pitakon Lisensi Anatomy Mapper
FAQ
Pustaka visual Anatomy Mapper® adhedhasar standar internasional sing wis divalidasi. Edisi pisanan ngemot luwih saka 1.6 yuta pasangan basa-visual kanggo anatomi permukaan sing kagandheng karo standar kasebut. Kalebu pangilonan (mirroring), iki ngemot luwih saka 3.2 yuta pasangan lan 20 yuta parameter basa sing bisa dilatih. Model multimodal iki dadi sumber kayekten kanggo AI lan mbisakake alur kerja sing migunani kanthi klinis.
2. Konfirmasi email panjenengan (priksa kothak mlebu kanggo link konfirmasi).
3. Mlebu kanggo miwiti ngasilake dhaptar lokasi anatomi kanthi anotasi.
4. Gunakake tombol "Export" kanggo nyalin dhaptar menyang papan klip (clipboard) panjenengan.
5. Tempelake dhaptar menyang rekam medis pasien panjenengan.
Miwiti
Dhaftar kanggo akun EDU gratis
Babagan Anatomy Mapper
Babagan Anatomy Mapper
Terminologi lan peta Anatomy Mapper® diakoni minangka standar internasional. istilah-istilah topografi lumah standar disajekake ing leksikon hierarkis lan wis diadopsi ing ICD-11 Organisasi Kesehatan Donya.
Daftar kanggo akun gratis supaya tetep ngerti wara-wara sabanjure. Yen panjenengan nemokake kesalahan utawa salah ketik, mangga lapurake.
Babagan Terminologi Standar lan ICD-ST – Topografi Lumah
Terminologi lan peta Anatomy Mapper® diakoni minangka standar internasional; istilah-istilah topografi lumah standar dituduhake sajrone leksikon hierarkis lan wis diadopsi menyang ICD-11 Organisasi Kesehatan Donya (WHO). "ICD-ST" ("Surface Topography"):
"ICD-ST" makili kolaborasi internasional mataun-taun kanggo mvalidasi leksikon topografi permukaan hierarkis. "ICD-ST" ing AnatomyMapper.com diwenehi label kasebut kanthi idin saka World Health Organization. Terminologi standar kasebut digunakake minangka leksikon dhasar kanggo ngasilake "Surface Topography" ing Klasifikasi Internasional Penyakit revisi kaping-11, ICD-11.
Irah-irahan Publikasi: Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research
Tautan PubMed:https://pubmed.ncbi.nlm.nih.gov/31010690/ (PMID 31010690)
Sitiran Format AMA: Kenneweg KA, Halpern AC, Chalmers RJG, Soyer HP, Weichenthal M, Molenda MA. Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research. J Am Acad Dermatol. 2019;80(6):1564-1584. doi:10.1016/j.jaad.2018.08.035
Sitiran Format MLA: Kenneweg, Katherine A et al. "Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research." Journal of the American Academy of Dermatology vol. 80,6 (2019): 1564-1584. doi:10.1016/j.jaad.2018.08.035
Sitiran Format APA: Kenneweg, K. A., Halpern, A. C., Chalmers, R. J. G., Soyer, H. P., Weichenthal, M., & Molenda, M. A. (2019). Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research. Journal of the American Academy of Dermatology, 80(6), 1564–1584. https://doi.org/10.1016/j.jaad.2018.08.035
Sitiran Format NLM: Kenneweg KA, Halpern AC, Chalmers RJG, Soyer HP, Weichenthal M, Molenda MA. Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research. J Am Acad Dermatol. 2019 Jun;80(6):1564-1584. doi: 10.1016/j.jaad.2018.08.035. Epub 2019 Apr 19. PMID: 31010690.
Daftar Panulis: Katherine A Kenneweg 1, Allan C Halpern 2, Robert J G Chalmers 3, H Peter Soyer 4, Michael Weichenthal 5, Matthew A Molenda 6
Afiliasi nalika Wektu Publikasi:
1 Department of Dermatology, University of Minnesota, Minneapolis, Minnesota.
2 Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
3 University of Manchester, Manchester, United Kingdom; Medical and Scientific Advisory Committee, International Classification of Diseases Revision Project, World Health Organization, Geneva, Switzerland.
4 Dermatology Research Centre, The University of Queensland Diamantina Institute, Brisbane, Australia.
5 Department of Dermatology, Venereology and Allergology, Christian-Albrechts-University of Kiel, Kiel, Germany.
6 Bravia Dermatology, Toledo, Ohio.
Kredit Surface Topography standar tambahan, afiliasi sing kacathet nalika wektu pambudidaya:
Pelabelan Peta Standar Surface Topography – Darshana Balasubramaniam, MS4 – University of Toledo College of Medicine and Life Sciences, Toledo, OH.
Babagan Konsensus Delphi
Versi pra-publikasi saka terminologi Topografi Permukaan sing distandardisasi wis ditliti lan divalidasi dening para ahli internasional sing melu ing International Skin Imaging Collaboration kanggo nggayuh konsensus babagan istilah topografi permukaan hierarkis, liwat sawijining metode Delphi.
Irah-irahan Publikasi: Human surface anatomy terminology for dermatology: A Delphi consensus from the International Skin Imaging Collaboration (ISIC).
Tautan PubMed:https://pubmed.ncbi.nlm.nih.gov/32770737/ (PMID 32770737)
Sitiran Format AMA: Navarrete-Dechent C, Liopyris K, Molenda MA, et al. Human surface anatomy terminology for dermatology: A Delphi consensus from the International Skin Imaging Collaboration (ISIC) [published online ahead of print, 2020 Aug 8]. J Eur Acad Dermatol Venereol. 2020;10.1111/jdv.16855. doi:10.1111/jdv.16855
Sitiran Format MLA: Navarrete-Dechent, Cristian et al. "Human surface anatomy terminology for dermatology: A Delphi consensus from the International Skin Imaging Collaboration (ISIC)." Journal of the European Academy of Dermatology and Venereology : JEADV, 10.1111/jdv.16855. 8 Aug 2020, doi:10.1111/jdv.16855
Sitiran Format APA: Navarrete-Dechent, C., Liopyris, K., Molenda, M. A., Braun, R., Curiel-Lewandrowski, C., Dusza, S. W., Guitera, P., Hofmann-Wellenhof, R., Kittler, H., Lallas, A., Malvehy, J., Marchetti, M. A., Oliviero, M., Pellacani, G., Puig, S., Peter Soyer, H., Tejasvi, T., Thomas, L., Tschandl, P., Scope, A., … Halpern, A. C. (2020). Human surface anatomy terminology for dermatology: A Delphi consensus from the International Skin Imaging Collaboration (ISIC). Journal of the European Academy of Dermatology and Venereology : JEADV, 10.1111/jdv.16855. Advance online publication. https://doi.org/10.1111/jdv.16855
Sitiran Format NLM: Navarrete-Dechent C, Liopyris K, Molenda MA, Braun R, Curiel-Lewandrowski C, Dusza S. W., Guitera P, Hofmann-Wellenhof R, Kittler H, Lallas A, Malvehy J, Marchetti M. A., Oliviero M, Pellacani G, Puig S, Peter Soyer H, Tejasvi T, Thomas L, Tschandl P, Scope A, Marghoob A. A., Halpern A. C. Human surface anatomy terminology for dermatology: A Delphi consensus from the International Skin Imaging Collaboration (ISIC). J Eur Acad Dermatol Venereol. 2020 Aug 8. doi: 10.1111/jdv.16855. Epub ahead of print. PMID: 32770737.
Daftar Panulis:
Cristián Navarrete-Dechent, MD;1,2 * Konstantinos Liopyris, MD;1,3 * Matthew A Molenda, MD;4 Ralph Braun, MD;5 Clara Curiel-Lewandrowski, MD;6 Stephen W Dusza, Dr.PH;1 Pascale Guitera, MD, PhD;7 Rainer Hofmann-Wellenhof, MD;8 Harald Kittler, MD;9 Aimilios Lallas, MD, PhD;10 Josep Malvehy, MD;11 Michael A Marchetti, MD;1 Margaret Oliviero, ARNP;12 Giovanni Pellacani, MD, PhD;13 Susana Puig, MD;11 H Peter Soyer, MD;14 Trilokraj Tejasvi, MD;15 Luc Thomas, MD;16 Philipp Tschandl, MD, PhD;9 Alon Scope, MD;17 Ashfaq A Marghoob, MD;1 Allan C Halpern, MD.1
Afiliasi nalika Wektu Publikasi:
1 Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
2 Department of Dermatology, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
3 Andreas Syggros Hospital of Cutaneous & Venereal Diseases, University of Athens, Athens, Greece.
4 Bravia Dermatology, Toledo, OH, USA.
5 Department of Dermatology, University Hospital Zürich, Zurich, Switzerland.
6 Department of Dermatology, The University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA.
7 Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.
8 Department of Dermatology, Medical University of Graz, Graz, Austria.
9 Department of Dermatology, Medical University of Vienna, Vienna, Austria.
10 First Department of Dermatology, Aristotle University, Thessaloniki, Greece.
11 Melanoma Unit, Department of Dermatology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain; CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain.
12 Dermatology Associates, Plantation, FL, USA.
13 Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
14 The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia.
15 Department of Dermatology, University of Michigan, Ann Arbor, MI, USA.
16 Service de Dermatologie, Centre Hospitalier Lyon Sud, Lyon 1 university and Cancer research center of Lyons INSERM U1052 – CNRS UMR5286, Lyon, France.
17 The Kittner Skin Cancer Screening and Research Institute, Sheba Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
*Kontribusi sing padha
Kredit tambahan Delphi Consensus:
Pemberian Label Peta Delphi – Cristián Navarrete-Dechent, MD
Terjemahan Delphi menyang basa Spanyol (Español) – Cristián Navarrete-Dechent, MD; Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile – AND – Tomás Andrade Donoso, MD; Department of Otolaryngology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
Pemberian Label Peta Delphi ing basa Spanyol (Español) – Cristián Navarrete-Dechent, MD; Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
Publikasi lan Tampilan Web – Matthew Molenda, MD
Babagan Sistem Nomer NYU
BABAGAN Sistem Labeling NYU Online
Gambar Asli disumbangake dening: Alfred Kopf, MD, Head of NYU Melanoma Clinical Cooperative Group, New York University, New York, NY
Situs Web lan Fungsionalitas Dirancang dening: Matt Molenda, MD
Koordinator Pemetaan lan Katrangan Istilah (Afiliasi nalika upaya ditindakake):
Katherine Kenneweg, MS4, University of Toledo Medical Center, Toledo, OH
Matur Nuwun Khusus Kanggo: Allan Halpern, MD, Chief of Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY
BABAGAN Sistem Labeling NYU
Wiwitane digambar ing awal taun 1970 -an ing sangisore panuntun Dr. Alfred Kopf kanggo New York University Melanoma Clinical Cooperative Group, sistem panomeran iki ngidini para klinisi kanthi gampang ngenali bagean awak kanthi cara sing distandardisasi kanggo nglacak lesi saka wektu menyang wektu. Wiwit taun 2015 , sistem iki isih digunakake ing pirang-pirang sistem kesehatan gedhe saiki, kalebu nanging ora winates ing Memorial Sloan Kettering Cancer Center, Cleveland Clinic, lan Mayo Clinic.
Hak Cipta © Anatomy Mapper. Kabeh hak dilindhungi undhang-undhang.
Gambar Dioptimalake lan Ditata Maneh dening Matt Molenda, MD. Kabeh hak dilindhungi undhang-undhang.
Gambar Asli Disumbangake Dening: Alfred Kopf, MD, Head of NYU Melanoma Clinical Cooperative Group, New York University, New York, NY
Babagan piranti lunak Anatomy Mapper Asli
BABAGAN Sistem Labeling Anatomi Lumahing Awak Manungsa Asli
Dirancang dening Matthew Molenda, MD
Koordinator Pemetaan 2009, afiliasi kadhaptar nalika wektu upaya ditindakake:
Matthew Palmer, MS4, NEOUCOM
Kapil Sachdeva, MS4, Ohio State
Wiwitane ditampilake ing taun 2009, Anatomy Mapper nuduhake label lokasi anatomi kanggo topografi lumahing awak manungsa.
Hak Cipta © Anatomy Mapper. Kabeh hak dilindhungi undhang-undhang.
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