Artificial intelligence: Toward a better predictive strategy for testicular sperm extraction outcome in azoospermia (notice n° 1809969)
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| fixed length control field | 02057cam a2200253 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260329001922.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bachelot, Guillaume |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Artificial intelligence: Toward a better predictive strategy for testicular sperm extraction outcome in azoospermia |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2024.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 18 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Azoospermia, defined as the absence of sperm in the semen, is found in 10–15% of infertile patients. Two-thirds of these cases are caused by impaired spermatogenesis, known as non-obstructive azoospermia (NOA). In this context, surgical sperm extraction using testicular sperm extraction (TESE) is the best option and can be offered to patients as part of fertility preservation, or for them to benefit from in vitro fertilization. The aim of the preoperative assessment is to identify the cause of NOA and evaluate the status of spermatogenesis. Its capacity to predict TESE success remains limited. As a result, no objective and reliable criteria are currently available to guide professionals on the chances of success and enable them to correctly assess the benefit–risk balance of this procedure. Artificial intelligence (AI), a field of research that has been rapidly expanding in recent years, has the potential to revolutionize medicine by making it more predictive and personalized. The aim of this review is to introduce AI and its key concepts, and then to examine the current state of research into predicting the success of TESE. |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ly, Anna |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rivet-Danon, Diane |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sermondade, Nathalie |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Frydman, Valentine |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lamazière, Antonin |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hamid, Rahaf Haj |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lévy, Rachel |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dupont, Charlotte |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Annales de Biologie Clinique | 82 | 2 | 2024-03-01 | p. 139-149 | 0003-3898 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://stm.cairn.info/journal-annales-de-biologie-clinique-2024-2-page-139?lang=en&redirect-ssocas=7080">https://stm.cairn.info/journal-annales-de-biologie-clinique-2024-2-page-139?lang=en&redirect-ssocas=7080</a> |
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