AI-driven innovations in digital healthcare: emerging trends, challenges, and applications
Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are s...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
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| Schriftenreihe: | Advances in medical diagnosis, treatment, and care (AMDTC) book series
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 Volltext |
| Zusammenfassung: | Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions.The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future. |
| Beschreibung: | 1 Online-Ressource (xvi, 377 Seiten) Illustrationen |
| ISBN: | 9798369332191 |
| DOI: | 10.4018/979-8-3693-3218-4 |
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| id | DE-604.BV049587101 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:32:49Z |
| indexdate | 2024-08-24T01:08:08Z |
| institution | BVB |
| isbn | 9798369332191 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 377 Seiten) Illustrationen |
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| publisher | IGI Global |
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| series2 | Advances in medical diagnosis, treatment, and care (AMDTC) book series |
| spelling | AI-driven innovations in digital healthcare emerging trends, challenges, and applications Alex Khang Artificial-driven innovations in digital healthcare Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xvi, 377 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in medical diagnosis, treatment, and care (AMDTC) book series Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions.The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future. Artificial intelligence Khang, Alex (DE-588)1333979959 edt Erscheint auch als Druck-Ausgabe, Hardcover 979-8-3693-3218-4 https://doi.org/10.4018/979-8-3693-3218-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | AI-driven innovations in digital healthcare emerging trends, challenges, and applications Artificial intelligence |
| title | AI-driven innovations in digital healthcare emerging trends, challenges, and applications |
| title_alt | Artificial-driven innovations in digital healthcare |
| title_auth | AI-driven innovations in digital healthcare emerging trends, challenges, and applications |
| title_exact_search | AI-driven innovations in digital healthcare emerging trends, challenges, and applications |
| title_exact_search_txtP | AI-driven innovations in digital healthcare |
| title_full | AI-driven innovations in digital healthcare emerging trends, challenges, and applications Alex Khang |
| title_fullStr | AI-driven innovations in digital healthcare emerging trends, challenges, and applications Alex Khang |
| title_full_unstemmed | AI-driven innovations in digital healthcare emerging trends, challenges, and applications Alex Khang |
| title_short | AI-driven innovations in digital healthcare |
| title_sort | ai driven innovations in digital healthcare emerging trends challenges and applications |
| title_sub | emerging trends, challenges, and applications |
| topic | Artificial intelligence |
| topic_facet | Artificial intelligence |
| url | https://doi.org/10.4018/979-8-3693-3218-4 |
| work_keys_str_mv | AT khangalex aidriveninnovationsindigitalhealthcareemergingtrendschallengesandapplications AT khangalex artificialdriveninnovationsindigitalhealthcare |