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020 _a9783111549729
024 7 _a10.1515/9783111549729
_2doi
035 _a(DE-B1597)690953
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
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245 0 0 _aArtificial Intelligence for Healthcare :
_bMachine Learning and Diagnostics /
_cRishabha Malviya, Shivam Rajput, Mukesh Roy, Irfan Ahmad, Saurabh Srivastava.
264 1 _aBerlin
_aBoston
_bDe Gruyter,
_c[2025]
264 4 _c©2025
300 _a1 online resource (XV, 270 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aDe Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
_x2626-5427 ;
_v19
505 0 0 _tFrontmatter --
_tPreface --
_tForeword --
_tContents --
_tChapter 1 Cardiovascular disease diagnosis using AI-based imaging --
_tChapter 2 Integration of AI in the management of bone health --
_tChapter 3 AI for remote patient monitoring in healthcare --
_tChapter 4 Engaging AI in emergency medicine for better patient care --
_tChapter 5 Application of AI in ENT (otorhinolaryngology) care --
_tChapter 6 Integration of AI in brain tumor surgery --
_tChapter 7 AI in dentistry: role and application --
_tChapter 8 Managing OPD with AI: implementation and utilization --
_tChapter 9 Elder patient care and monitoring through AI --
_tChapter 10 AI and pregnancy: an unexpected alliance --
_tChapter 11 Implementation of AI in pathology --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThe book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI's transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.
530 _aIssued also in print.
532 8 _aThe accessibility of this resources in unknown or unassessed.
538 _aMode of access: Internet via World Wide Web.
545 _aMalviya, Rajput, GU, IN; Roy, Baptist Hospital South Florida, USA; Ahmad, King Khalid U, SA; Srivastava, KPJ Healthcare U, MY.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed March 03 2026)
650 7 _aBUSINESS & ECONOMICS / Industries / Computers & Information Technology.
_2bisacsh
650 7 _aCOM004000 COMPUTERS / Intelligence (AI) & Semantics.
_2bisacsh
650 7 _aCOMPUTERS / Computer Science.
_2bisacsh
650 7 _aMATHEMATICS / Linear & Nonlinear Programming.
_2bisacsh
650 7 _aMATHEMATICS / Numerical Analysis.
_2bisacsh
650 7 _aMATHEMATICS / Optimization.
_2bisacsh
650 7 _aTechnology & Engineering / Biomedical.
_2bisacsh
653 0 _aArtificial Intelligence
653 0 _aHealthcare and E-health
653 0 _aPatient Care and Diagnostics
653 0 _aMachine Learning
653 0 _aDeep Learning
653 0 _aArtificial Intelligence
653 0 _aHealthcare and E-health
653 0 _aPatient Care and Diagnostics
653 0 _aMachine Learning
653 0 _aDeep Learning
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tDG Plus DeG Package 2025 Part 1
_z9783111333502
_oZDB-23-23
776 0 _cEPUB
_z9783111549842
776 0 _cprint
_z9783111547589
856 4 0 _uhttps://www.degruyterbrill.com/isbn/9783111549729
856 4 2 _3Cover
_uhttps://www.degruyterbrill.com/document/cover/isbn/9783111549729/original
912 _aZDB-23-23
_b2025
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