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  1. Article ; Online: ChatGPT: the good, the bad, and the potential.

    Chavez, Martin R

    American journal of obstetrics and gynecology

    2023  Volume 229, Issue 3, Page(s) 357

    Language English
    Publishing date 2023-04-07
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2023.04.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Harnessing the open access version of ChatGPT for enhanced clinical opinions.

    Tenner, Zachary M / Cottone, Michael C / Chavez, Martin R

    PLOS digital health

    2024  Volume 3, Issue 2, Page(s) e0000355

    Abstract: With the advent of Large Language Models (LLMs) like ChatGPT, the integration of Generative Artificial Intelligence (GAI) into clinical medicine is becoming increasingly feasible. This study aimed to evaluate the ability of the freely available ChatGPT-3. ...

    Abstract With the advent of Large Language Models (LLMs) like ChatGPT, the integration of Generative Artificial Intelligence (GAI) into clinical medicine is becoming increasingly feasible. This study aimed to evaluate the ability of the freely available ChatGPT-3.5 to generate complex differential diagnoses, comparing its output to case records of the Massachusetts General Hospital published in the New England Journal of Medicine (NEJM). Forty case records were presented to ChatGPT-3.5, prompting it to provide a differential diagnosis and then narrow it down to the most likely diagnosis. The results indicated that the final diagnosis was included in ChatGPT-3.5's original differential list in 42.5% of the cases. After narrowing, ChatGPT correctly determined the final diagnosis in 27.5% of the cases, demonstrating a decrease in accuracy compared to previous studies using common chief complaints. These findings emphasize the necessity for further investigation into the capabilities and limitations of LLMs in clinical scenarios while highlighting the potential role of GAI as an augmented clinical opinion. Anticipating the growth and enhancement of GAI tools like ChatGPT, physicians and other healthcare workers will likely find increasing support in generating differential diagnoses. However, continued exploration and regulation are essential to ensure the safe and effective integration of GAI into healthcare practice. Future studies may seek to compare newer versions of ChatGPT or investigate patient outcomes with physicians integrating this GAI technology. Understanding and expanding GAI's capabilities, particularly in differential diagnosis, may foster innovation and provide additional resources, especially in underserved areas in the medical field.
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3170
    ISSN (online) 2767-3170
    DOI 10.1371/journal.pdig.0000355
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A role for artificial intelligence chatbots in the writing of scientific articles.

    Vintzileos, Anthony M / Chavez, Martin R / Romero, Roberto

    American journal of obstetrics and gynecology

    2023  Volume 229, Issue 2, Page(s) 89–90

    MeSH term(s) Humans ; Artificial Intelligence ; Writing
    Language English
    Publishing date 2023-04-26
    Publishing country United States
    Document type Editorial
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2023.03.040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Reply to "Artificial intelligence in writing of papers: some considerations".

    Vintzileos, Anthony M / Chavez, Martin R / Romero, Roberto

    American journal of obstetrics and gynecology

    2023  Volume 229, Issue 5, Page(s) 569–570

    MeSH term(s) Humans ; Artificial Intelligence ; Writing
    Language English
    Publishing date 2023-06-07
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2023.06.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Assessing Mullerian Anomalies in Early Pregnancy Utilizing Advanced 3D Ultrasound Technology.

    Prasannan, Lakha / Rekawek, Patricia / Kinzler, Wendy L / Richmond, Diana Abenanti / Chavez, Martin R

    American journal of obstetrics and gynecology

    2024  

    Language English
    Publishing date 2024-04-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2024.04.023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Vasa previa: avoiding incising the membranes at cesarean delivery.

    Oyelese, Yinka / Iammatteo, Matt / Domnitz, Steve / Chavez, Martin R

    American journal of obstetrics and gynecology

    2022  Volume 227, Issue 5, Page(s) 770–772

    Abstract: We present our technique for cesarean delivery of prenatally diagnosed vasa previa in which we avoid incising the membranes and fetal vessels. This technique allows direct visualization of the fetal blood vessels and may prevent blood loss from the baby ... ...

    Abstract We present our technique for cesarean delivery of prenatally diagnosed vasa previa in which we avoid incising the membranes and fetal vessels. This technique allows direct visualization of the fetal blood vessels and may prevent blood loss from the baby at the time of birth.
    Language English
    Publishing date 2022-07-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2022.07.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Chat Generative Pre-trained Transformer: why we should embrace this technology.

    Chavez, Martin R / Butler, Thomas S / Rekawek, Patricia / Heo, Hye / Kinzler, Wendy L

    American journal of obstetrics and gynecology

    2023  Volume 228, Issue 6, Page(s) 706–711

    Abstract: With the advent of artificial intelligence that not only can learn from us but also can communicate with us in plain language, humans are embarking on a brave new future. The interaction between humans and artificial intelligence has never been so ... ...

    Abstract With the advent of artificial intelligence that not only can learn from us but also can communicate with us in plain language, humans are embarking on a brave new future. The interaction between humans and artificial intelligence has never been so widespread. Chat Generative Pre-trained Transformer is an artificial intelligence resource that has potential uses in the practice of medicine. As clinicians, we have the opportunity to help guide and develop new ways to use this powerful tool. Optimal use of any tool requires a certain level of comfort. This is best achieved by appreciating its power and limitations. Being part of the process is crucial in maximizing its use in our field. This clinical opinion demonstrates the potential uses of Chat Generative Pre-trained Transformer for obstetrician-gynecologists and encourages readers to serve as the driving force behind this resource.
    MeSH term(s) Humans ; Artificial Intelligence ; Technology ; Health Personnel ; Language ; Medicine
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2023.03.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: ChatGPT: a pioneering approach to complex prenatal differential diagnosis.

    Suhag, Anju / Kidd, Jennifer / McGath, Meghan / Rajesh, Raeshmma / Gelfinbein, Joseph / Cacace, Nicole / Monteleone, Berrin / Chavez, Martin R

    American journal of obstetrics & gynecology MFM

    2023  Volume 5, Issue 8, Page(s) 101029

    Abstract: This commentary examines how ChatGPT can assist healthcare teams in the prenatal diagnosis of rare and complex cases by creating a differential diagnoses based on deidentified clinical findings, while also acknowledging its limitations. ...

    Abstract This commentary examines how ChatGPT can assist healthcare teams in the prenatal diagnosis of rare and complex cases by creating a differential diagnoses based on deidentified clinical findings, while also acknowledging its limitations.
    MeSH term(s) Humans ; Female ; Pregnancy ; Diagnosis, Differential ; Patient Care Team ; Prenatal Diagnosis
    Language English
    Publishing date 2023-05-29
    Publishing country United States
    Document type Journal Article
    ISSN 2589-9333
    ISSN (online) 2589-9333
    DOI 10.1016/j.ajogmf.2023.101029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Remote patient monitoring for management of diabetes mellitus in pregnancy is associated with improved maternal and neonatal outcomes.

    Kantorowska, Agata / Cohen, Koral / Oberlander, Maxwell / Jaysing, Anna R / Akerman, Meredith B / Wise, Anne-Marie / Mann, Devin M / Testa, Paul A / Chavez, Martin R / Vintzileos, Anthony M / Heo, Hye J

    American journal of obstetrics and gynecology

    2023  Volume 228, Issue 6, Page(s) 726.e1–726.e11

    Abstract: Background: Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with ... ...

    Abstract Background: Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with the aim of improving care for diabetes mellitus in pregnancy. Previous studies of these technologies for the treatment of diabetes in pregnancy have been small and have not clearly shown clinical benefit with implementation.
    Objective: Remote patient monitoring allows clinicians to monitor patients' health data (such as glucose values) in near real-time, between office visits, to make timely adjustments to care. Our objective was to determine if using remote patient monitoring for the management of diabetes in pregnancy leads to an improvement in maternal and neonatal outcomes.
    Study design: This was a retrospective cohort study of pregnant patients with diabetes mellitus managed by the maternal-fetal medicine practice at one academic institution between October 2019 and April 2021. This practice transitioned from paper-based blood glucose logs to remote patient monitoring in February 2020. Remote patient monitoring options included (1) device integration with Bluetooth glucometers that automatically uploaded measured glucose values to the patient's Epic MyChart application or (2) manual entry in which patients manually logged their glucose readings into their MyChart application. Values in the MyChart application directly transferred to the patient's electronic health record for review and management by clinicians. In total, 533 patients were studied. We compared 173 patients managed with paper logs to 360 patients managed with remote patient monitoring (176 device integration and 184 manual entry). Our primary outcomes were composite maternal morbidity (which included third- and fourth-degree lacerations, chorioamnionitis, postpartum hemorrhage requiring transfusion, postpartum hysterectomy, wound infection or separation, venous thromboembolism, and maternal admission to the intensive care unit) and composite neonatal morbidity (which included umbilical cord pH <7.00, 5 minute Apgar score <7, respiratory morbidity, hyperbilirubinemia, meconium aspiration, intraventricular hemorrhage, necrotizing enterocolitis, sepsis, pneumonia, seizures, hypoxic ischemic encephalopathy, shoulder dystocia, trauma, brain or body cooling, and neonatal intensive care unit admission). Secondary outcomes were measures of glycemic control and the individual components of the primary composite outcomes. We also performed a secondary analysis in which the patients who used the two different remote patient monitoring options (device integration vs manual entry) were compared. Chi-square, Fisher's exact, 2-sample t, and Mann-Whitney tests were used to compare the groups. A result was considered statistically significant at P<.05.
    Results: Maternal baseline characteristics were not significantly different between the remote patient monitoring and paper groups aside from a slightly higher baseline rate of chronic hypertension in the remote patient monitoring group (6.1% vs 1.2%; P=.011). The primary outcomes of composite maternal and composite neonatal morbidity were not significantly different between the groups. However, remote patient monitoring patients submitted more glucose values (177 vs 146; P=.008), were more likely to achieve glycemic control in target range (79.2% vs 52.0%; P<.0001), and achieved the target range sooner (median, 3.3 vs 4.1 weeks; P=.025) than patients managed with paper logs. This was achieved without increasing in-person visits. Remote patient monitoring patients had lower rates of preeclampsia (5.8% vs 15.0%; P=.0006) and their infants had lower rates of neonatal hypoglycemia in the first 24 hours of life (29.8% vs 51.7%; P<.0001).
    Conclusion: Remote patient monitoring for the management of diabetes mellitus in pregnancy is superior to a traditional paper-based approach in achieving glycemic control and is associated with improved maternal and neonatal outcomes.
    MeSH term(s) Pregnancy ; Infant ; Female ; Humans ; Infant, Newborn ; Retrospective Studies ; Meconium Aspiration Syndrome ; Diabetes, Gestational/drug therapy ; Blood Glucose ; Infant, Newborn, Diseases/therapy ; Monitoring, Physiologic ; Pregnancy Outcome
    Chemical Substances Blood Glucose
    Language English
    Publishing date 2023-02-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2023.02.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Counseling and Management of a Conservatively Managed Second Trimester Cesarean Scar Pregnancy: A Case Report.

    Kunzier, Nadia B / Sharma, Shefali / Chavez, Martin R / Vintzileos, Anthony M

    The Journal of reproductive medicine

    2018  Volume 61, Issue 11-12, Page(s) 605–608

    Abstract: Background: Cesarean scar ectopic pregnancies (CSPs) are becoming more prevalent and can have an extremely poor prognosis, with high morbidity and mortality. Management guidelines for patients desiring conservative treatment should be established to ... ...

    Abstract Background: Cesarean scar ectopic pregnancies (CSPs) are becoming more prevalent and can have an extremely poor prognosis, with high morbidity and mortality. Management guidelines for patients desiring conservative treatment should be established to improve outcomes.
    Case: A 33-year-old woman with a conservatively managed CSP now in the second trimester presented from an outside institution. After thorough counseling regarding potential maternal morbidity and extreme prematurity in the newborn based on clinical findings of progressive cervical shortening and vaginal spotting with a significant drop in hemoglobin, she abandoned conservative therapy and underwent a hysterectomy with the previable fetus in situ.
    Conclusion: As pregnancy progresses, danger to the mother and fetus can become severe and imminent. Progressive cervical shortening may be associated with much more significant bleeding than evidenced by spotting, indicating the importance of using cervical shortening in abandonment of conservative management to reduce impending morbidity and mortality.
    MeSH term(s) Adult ; Aneurysm, False/complications ; Aneurysm, False/therapy ; Counseling ; Female ; Humans ; Pregnancy ; Pregnancy, Ectopic/diagnostic imaging ; Pregnancy, Ectopic/therapy ; Uterine Artery ; Uterine Artery Embolization/methods ; Uterine Hemorrhage/etiology
    Language English
    Publishing date 2018-09-18
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 390916-5
    ISSN 1943-3565 ; 0024-7758
    ISSN (online) 1943-3565
    ISSN 0024-7758
    Database MEDical Literature Analysis and Retrieval System OnLINE

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