| 000 | 03577naaaa2200805uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230413105637.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20220621s2022 xx |||||o ||| eng|| d | ||
| 020 | _a9783036543109 | ||
| 020 | _a9783036543093 | ||
| 040 |
_aoapen _coapen |
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| 041 | 0 | _aeng | |
| 080 | _a004.8 | ||
| 100 | 1 |
_aGiansanti, Daniele _4edt |
|
| 245 | 1 | 0 | _aThe Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We? |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2022 |
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| 300 | _a1 electronic resource (158 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
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| 520 | _aThis book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc |
||
| 546 | _aEnglish | ||
| 650 | 0 |
_aИскусственный интеллект _94518 |
|
| 653 | _an/a | ||
| 653 | _aeHealth | ||
| 653 | _amedical devices | ||
| 653 | _amHealth | ||
| 653 | _adigital radiology | ||
| 653 | _apicture archive and communication system | ||
| 653 | _aartificial intelligence | ||
| 653 | _aelectronic surveys | ||
| 653 | _achest CT | ||
| 653 | _achest radiography | ||
| 653 | _aAI | ||
| 653 | _aradiology | ||
| 653 | _aawareness | ||
| 653 | _aradiographers | ||
| 653 | _aradiologists | ||
| 653 | _ae-health | ||
| 653 | _am-health | ||
| 653 | _adigital-pathology | ||
| 653 | _acytology | ||
| 653 | _ahistology | ||
| 653 | _adiagnostic pathology | ||
| 653 | _abreast cancer | ||
| 653 | _abibliometric analysis | ||
| 653 | _ahealthcare | ||
| 653 | _amedical imaging | ||
| 653 | _aVOSviewer | ||
| 653 | _adigital-radiology | ||
| 653 | _aartificial-intelligence | ||
| 653 | _aacceptance | ||
| 653 | _aconsensus | ||
| 653 | _ainformation technology | ||
| 653 | _acardiology | ||
| 653 | _aimaging | ||
| 653 | _acervical cancer screening | ||
| 653 | _acolposcopy | ||
| 653 | _adeep learning | ||
| 653 | _amachine learning | ||
| 653 | _amedical students | ||
| 653 | _aperceptions | ||
| 653 | _adigitization in medicine | ||
| 700 | 1 |
_aGiansanti, Daniele _4oth |
|
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/5559 _70 _zDownload |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/84577 _70 _zDescription |
| 909 |
_c4 _dDarya Shvetsova |
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| 942 |
_2udc _cEE |
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| 999 |
_c6442 _d6442 |
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