Artificial intelligence as a new answer to old challenges in maternal-fetal medicine and obstetrics.

Medjedovic, Edin; Stanojevic, Milan; Jonuzovic-Prosic, Sabaheta; Ribic, Emina; Begic, Zijo; Cerovac, Anis; Badnjevic, Almir

Medjedovic, Edin; Stanojevic, Milan; Jonuzovic-Prosic, Sabaheta; Ribic, Emina; Begic, Zijo; Cerovac, Anis; Badnjevic, Almir.

Afiliación

Medjedovic E; Clinic of Gynecology and Obstetrics, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Stanojevic M; Department of Gynecology, Obstetrics and Reproductive Medicine, School of Medicine, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina.
Jonuzovic-Prosic S; Department of Obstetrics and Gynecology, University Hospital "Sveti Duh", Zagreb, Croatia.
Ribic E; Clinic of Gynecology and Obstetrics, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Begic Z; Public Institution Department for Health Care of Women and Maternity of Sarajevo Canton, Sarajevo, Bosnia and Herzegovina.
Cerovac A; Department of Cardiology, Pediatric Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Badnjevic A; General Hospital Tesanj, Department of Gynecology and Obstetrics Tesanj, Bosnia and Herzegovina.

Technol Health Care ; 2023 Nov 23.

Article en En | MEDLINE | ID: mdl-38073356

Palabras clave

Artificial intelligence; machine learning; obstetrics; perinatology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article

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