| Judul | Artificial Intelligence for Health and Medicine / Edited by: Daniele Giansanti |
| Pengarang | Giansanti, Daniele |
| EDISI | - |
| Penerbitan | Basel : MDPI, 2026 |
| Deskripsi Fisik | 392p. :Ill. |
| ISBN | 978-3-7258-8346-2 |
| Subjek | ARTIFICIAL INTELLIGENCE HEALTH DIAGNOSTIC IMAGING |
| Catatan | Artificial intelligence is rapidly transforming medical diagnostics by enabling more accurate, efficient, and data-driven analysis across imaging, laboratory medicine, and clinical decision-making. This Special Issue collects 19 contributions, including original research and reviews, that illustrate current advances and emerging applications of AI in healthcare. Together, these works highlight both the opportunities and the challenges of translating AI into routine clinical practice, particularly in terms of interpretability, validation, and real-world implementation. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://doi.org/10.3390/books978-3-7258-8346-2 https://mdpi-res.com/bookfiles/book/13164/Artificial_Intelligence_for_Health_and_Medicine.pdf?v=1788570916 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 295126192 | 006.3 Art | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 005 | 20260905120139 | ||
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| 505 | # | # | $a Artificial intelligence is rapidly transforming medical diagnostics by enabling more accurate, efficient, and data-driven analysis across imaging, laboratory medicine, and clinical decision-making. This Special Issue collects 19 contributions, including original research and reviews, that illustrate current advances and emerging applications of AI in healthcare. Together, these works highlight both the opportunities and the challenges of translating AI into routine clinical practice, particularly in terms of interpretability, validation, and real-world implementation. |
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