Matching Items (4)
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Description
Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the psychomotor skills still relies on the Halstedian model of apprenticeship, wherein surgeons are

Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the psychomotor skills still relies on the Halstedian model of apprenticeship, wherein surgeons are observed during residency for judgment of their skills. Although the value of this method of skills assessment cannot be ignored, novel methodologies of objective skills assessment need to be designed, developed, and evaluated that augment the traditional approach. Several sensor-based systems have been developed to measure a user's skill quantitatively, but use of sensors could interfere with skill execution and thus limit the potential for evaluating real-life surgery. However, having a method to judge skills automatically in real-life conditions should be the ultimate goal, since only with such features that a system would be widely adopted. This research proposes a novel video-based approach for observing surgeons' hand and surgical tool movements in minimally invasive surgical training exercises as well as during laparoscopic surgery. Because our system does not require surgeons to wear special sensors, it has the distinct advantage over alternatives of offering skills assessment in both learning and real-life environments. The system automatically detects major skill-measuring features from surgical task videos using a computing system composed of a series of computer vision algorithms and provides on-screen real-time performance feedback for more efficient skill learning. Finally, the machine-learning approach is used to develop an observer-independent composite scoring model through objective and quantitative measurement of surgical skills. To increase effectiveness and usability of the developed system, it is integrated with a cloud-based tool, which automatically assesses surgical videos upload to the cloud.
ContributorsIslam, Gazi (Author) / Li, Baoxin (Thesis advisor) / Liang, Jianming (Thesis advisor) / Dinu, Valentin (Committee member) / Greenes, Robert (Committee member) / Smith, Marshall (Committee member) / Kahol, Kanav (Committee member) / Patel, Vimla L. (Committee member) / Arizona State University (Publisher)
Created2013
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Description

Arnaud Fauconnier and Charles Chapron published “Endometriosis and Pelvic Pain: Epidemiological Evidence of the Relationship and Implications,” henceforth “Endometriosis and Pelvic Pain,” in the journal Human Reproduction Update in 2005. In that article, the researchers studied the relationship between pelvic pain and endometriosis. Endometriosis is the growth of endometrium, or

Arnaud Fauconnier and Charles Chapron published “Endometriosis and Pelvic Pain: Epidemiological Evidence of the Relationship and Implications,” henceforth “Endometriosis and Pelvic Pain,” in the journal Human Reproduction Update in 2005. In that article, the researchers studied the relationship between pelvic pain and endometriosis. Endometriosis is the growth of endometrium, or tissue that normally lines the inside of the uterus, outside of the uterus. The authors review medical studies in order to determine how much evidence exists that endometriosis causes chronic pelvic pain symptoms. Then, the authors describe specific relationships between different types of endometriotic lesions and pain symptoms. By establishing specific relationships between pain and endometriosis, “Endometriosis and Pelvic Pain” helped healthcare professionals diagnose and treat pelvic pain related to endometriosis.

Created2019-11-30
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Description

Transvaginal ultrasound-guided oocyte retrieval, also known as egg retrieval, is a surgical technique used by medical professionals to extract mature eggs directly from the women’s ovaries under the guidance of ultrasound imaging. In 1982, physicians Suzan Lenz and Jorgen Lauritsen at the University of Copenhagen in Copenhagen, Denmark, proposed the

Transvaginal ultrasound-guided oocyte retrieval, also known as egg retrieval, is a surgical technique used by medical professionals to extract mature eggs directly from the women’s ovaries under the guidance of ultrasound imaging. In 1982, physicians Suzan Lenz and Jorgen Lauritsen at the University of Copenhagen in Copenhagen, Denmark, proposed the technology to improve the egg collection aspect of in vitro fertilization, or IVF. During IVF, a healthcare practitioner must remove mature eggs from a woman’s ovaries to fertilize them with sperm outside of the body. Transvaginal ultrasound-guided egg retrieval is a surgery that can be completed in a medical office setting in twenty minutes. Transvaginal ultrasound-guided egg retrieval increased mature egg collection and rates of successful fertilization, becoming the new standard for egg collection in IVF.

Created2020-12-14
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Description

In 2010, Albert L. Hsu, Izebella Khchikyan, and Pamela Stratton published “Invasive and Non-invasive Methods for the Diagnosis of Endometriosis,” henceforth “Methods for the Diagnosis of Endometriosis,” in Clinical Obstetrics and Gynecology. In the article, the authors describe how specific types of endometriotic lesions appear in the body and evaluate

In 2010, Albert L. Hsu, Izebella Khchikyan, and Pamela Stratton published “Invasive and Non-invasive Methods for the Diagnosis of Endometriosis,” henceforth “Methods for the Diagnosis of Endometriosis,” in Clinical Obstetrics and Gynecology. In the article, the authors describe how specific types of endometriotic lesions appear in the body and evaluate five methods for diagnosing endometriosis. Endometriosis is the growth of endometrium, the tissue that normally lines the inside of the uterus, outside of the uterus. The authors state that although endometriosis impacts many women, the condition is difficult to identify. They identify laparoscopy, an invasive surgical procedure, as the most accurate diagnostic method. By analyzing the effectiveness of available diagnostic methods, the authors help physicians diagnose endometriosis and increase the quality of life for affected women.

Created2020-06-30