Advancing patient care: how artificial intelligence is transforming healthcare

DG Poalelungi, CL Musat, A Fulga, M Neagu… - Journal of personalized …, 2023 - mdpi.com
Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …

[HTML][HTML] Enhancing the evidence with algorithms: how artificial intelligence is transforming forensic medicine

AI Piraianu, A Fulga, CL Musat, OR Ciobotaru… - Diagnostics, 2023 - mdpi.com
Background: The integration of artificial intelligence (AI) into various fields has ushered in a
new era of multidisciplinary progress. Defined as the ability of a system to interpret external …

[PDF][PDF] Artificial intelligence: a new paradigm in obstetrics and gynecology research and clinical practice

P Iftikhar, MV Kuijpers, A Khayyat, A Iftikhar… - Cureus, 2020 - cureus.com
Artificial intelligence (AI) is growing exponentially in various fields, including medicine. This
paper reviews the pertinent aspects of AI in obstetrics and gynecology (OB/GYN) and how …

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

G Vandewiele, I Dehaene, G Kovács, L Sterckx… - Artificial Intelligence in …, 2021 - Elsevier
Abstract Information extracted from electrohysterography recordings could potentially prove
to be an interesting additional source of information to estimate the risk on preterm birth …

Artificial intelligence: a rapid case for advancement in the personalization of gynaecology/obstetric and mental health care

G Delanerolle, X Yang, S Shetty, V Raymont… - Women's …, 2021 - journals.sagepub.com
To evaluate and holistically treat the mental health sequelae and potential psychiatric
comorbidities associated with obstetric and gynaecological conditions, it is important to …

Characterization and automatic classification of preterm and term uterine records

F Jager, S Libenšek, K Geršak - PLoS One, 2018 - journals.plos.org
Predicting preterm birth is uncertain, and numerous scientists are searching for non-invasive
methods to improve its predictability. Current researches are based on the analysis of …

[HTML][HTML] Application of artificial intelligence in screening for adverse perinatal outcomes—a systematic review

S Feduniw, D Golik, A Kajdy, M Pruc, J Modzelewski… - Healthcare, 2022 - mdpi.com
(1) Background: AI-based solutions could become crucial for the prediction of pregnancy
disorders and complications. This study investigated the evidence for applying artificial …

Introduction to machine learning in obstetrics and gynecology

SA Shazly, EC Trabuco, CG Ngufor… - Obstetrics & …, 2022 - journals.lww.com
In the digital age of the 21st century, we have witnessed an explosion in data matched by
remarkable progress in the field of computer science and engineering, with the development …

Artificial intelligence in pregnancy: A sco** review

AM Oprescu, G Miro-Amarante, L García-Díaz… - IEEE …, 2020 - ieeexplore.ieee.org
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

Current developments in artificial intelligence from obstetrics and gynecology to urogynecology

MM Seval, B Varlı - Frontiers in Medicine, 2023 - frontiersin.org
In today's medical practice clinicians need to struggle with a huge amount of data to improve
the outcomes of the patients. Sometimes one clinician needs to deal with thousands of …