scholarly journals Abortion is a medical topic appropriate for professional discussion

2020 ◽  
Vol 72 (5) ◽  
pp. 1829
Author(s):  
Paris N. Stowers ◽  
Shandhini Raidoo
Keyword(s):  
2016 ◽  
Vol 01 (02) ◽  
Author(s):  
Da Yong Lu ◽  
Hong Ying Wu ◽  
Nagendra Sastry Yarla ◽  
Yi Lu
Keyword(s):  

2003 ◽  
Vol 9 (2) ◽  
pp. 99-103 ◽  
Author(s):  
B Himpens

A distance continuing medical education programme was established at the Katholieke Universiteit Leuven in Belgium using multipoint videoconferencing via ISDN lines at 384 kbit/s. The sessions, held in the evening, comprised oral presentations followed by interactive questions and answers, and concluded with a multi-site panel discussion. At all sites the session could be followed on two screens. The speaker/moderator or a questioner at a peripheral site, for example, was shown on the first screen and digital images were projected on the second screen. A multi-site voting system was provided. In weekly sessions between five rotating sites, a multipoint videoconference dealing with a different medical topic was presented and treated in a multidisciplinary way. During the three years of the project, 20 different peripheral sites were visited or revisited. On a five-point scale (with higher scores representing more positive evaluations), the average score for the quality of the image was 3.72 (SEM 0.01) and for sound 3.87 (SEM 0.01) ( n = 3743). The mean rating of the voting system was 3.76 (SEM 0.02) ( n = 3119). For sound, image quality and the voting system, respectively, 73%, 65% and 70% of all participants gave ratings of 'very good' or 'good'. The older participants gave slightly more positive ratings than the younger ones. Videoconferencing appears to be a suitable alternative to face-to-face seminars.


2021 ◽  
Vol 45 (2) ◽  
pp. 365-368
Author(s):  
Jonathan D. Kibble

As the Baby Boomer generation reaches old age, there has been a significant increase in the number of older adults needing healthcare over the past decade. The physiology of aging is therefore a highly relevant topic for the preclinical medical curriculum. I describe a new capstone unit on the physiology of aging, placed at the end a medical physiology course, to provide a vehicle for integration of prior learning about physiology of each individual body system. Students were provided with online self-study modules as preparation for a mandatory small group case-based learning activity. A detailed case of an elderly female patient being assessed for fall risk was provided. Students were required to document a “Review of Systems” predicting decreased system functions due to senescence and to prepare a group concept map illustrating how physiologic deficits contributed to fall risk in the patient. Students successfully completed the activity and reported generally good satisfaction with the experience. The activity was judged an effective tool for students to consolidate prior learning and to apply physiology to an important medical topic. The lesson also provided several opportunities for curriculum integration with cell biology, biochemistry, anatomy, and clinical skills components.


10.2196/16606 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e16606
Author(s):  
Dominik Schoeb ◽  
Rodrigo Suarez-Ibarrola ◽  
Simon Hein ◽  
Franz Friedrich Dressler ◽  
Fabian Adams ◽  
...  

Background Mapping out the research landscape around a project is often time consuming and difficult. Objective This study evaluates a commercial artificial intelligence (AI) search engine (IRIS.AI) for its applicability in an automated literature search on a specific medical topic. Methods To evaluate the AI search engine in a standardized manner, the concept of a science hackathon was applied. Three groups of researchers were tasked with performing a literature search on a clearly defined scientific project. All participants had a high level of expertise for this specific field of research. Two groups were given access to the AI search engine IRIS.AI. All groups were given the same amount of time for their search and were instructed to document their results. Search results were summarized and ranked according to a predetermined scoring system. Results The final scoring awarded 49 and 39 points out of 60 to AI groups 1 and 2, respectively, and the control group received 46 points. A total of 20 scientific studies with high relevance were identified, and 5 highly relevant studies (“spot on”) were reported by each group. Conclusions AI technology is a promising approach to facilitate literature searches and the management of medical libraries. In this study, however, the application of AI technology lead to a more focused literature search without a significant improvement in the number of results.


PEDIATRICS ◽  
1994 ◽  
Vol 93 (5) ◽  
pp. 869-869
Author(s):  
Neil Shulman ◽  
Daniel Appelrouth

As the author of the book Doc Hollywood, I tried to make some impact on an important health care issue relating to the shortage of doctors in rural areas. By developing a story about a doctor who gets stuck in a small rural town during a cross-country automobile trip to Hollywood, I attempted to show the benefits of family practice in an area of need. Now I am joining a colleague in an effort to develop a nonfiction book on another medical topic that is close to my heart.


foresight ◽  
2020 ◽  
Vol 22 (5/6) ◽  
pp. 533-550
Author(s):  
Peter Bishop ◽  
Rebecca Tamarchak ◽  
Christine Williams ◽  
Laszlo Radvanyi

Purpose This study aims to investigate into the future of cancer and cancer research in preparation for a strategic plan for a cancer research centre. Design/methodology/approach The study used framework foresight, a method for creating scenarios and their implications developed by the MS program in Foresight at the University of Houston. Findings The study identified four scenarios: a continuation scenario in which progress in detecting and treating cancer progressed as it has over the past few decades, a collapse scenario in which attention was diverted from medical research due to a climate crisis, a new equilibrium scenario in which cost became the overriding concern for cancer treatment, and a transformation scenario in which individuals took control of their treatment through Do-It-Yourself remedies. Those scenarios suggested four strategic issues for the planning exercise: the growing volume of genomic and clinical data and the means to learn from it, the increased involvement and influence of patients in diagnosis and treatment, the ability to conduct research in a time of fiscal austerity and declining levels of trust in all professions, including medicine. Research limitations/implications The paper not only provides guidance for cancer centers but also for medical practice in general. Practical implications The client used the scenarios and their implications as part of its considerations in strategic planning. Originality/value This paper represents the first time that Framework Foresight has been applied to a medical topic.


2019 ◽  
Author(s):  
Dominik Schoeb ◽  
Rodrigo Suarez-Ibarrola ◽  
Simon Hein ◽  
Franz Friedrich Dressler ◽  
Fabian Adams ◽  
...  

BACKGROUND Mapping out the research landscape around a project is often time consuming and difficult. OBJECTIVE This study evaluates a commercial artificial intelligence (AI) search engine (IRIS.AI) for its applicability in an automated literature search on a specific medical topic. METHODS To evaluate the AI search engine in a standardized manner, the concept of a science hackathon was applied. Three groups of researchers were tasked with performing a literature search on a clearly defined scientific project. All participants had a high level of expertise for this specific field of research. Two groups were given access to the AI search engine IRIS.AI. All groups were given the same amount of time for their search and were instructed to document their results. Search results were summarized and ranked according to a predetermined scoring system. RESULTS The final scoring awarded 49 and 39 points out of 60 to AI groups 1 and 2, respectively, and the control group received 46 points. A total of 20 scientific studies with high relevance were identified, and 5 highly relevant studies (“spot on”) were reported by each group. CONCLUSIONS AI technology is a promising approach to facilitate literature searches and the management of medical libraries. In this study, however, the application of AI technology lead to a more focused literature search without a significant improvement in the number of results.


Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 103
Author(s):  
Teofan Clipa ◽  
Giorgio Maria Di Nunzio

In this work, we compare and analyze a variety of approaches in the task of medical publication retrieval and, in particular, for the Technology Assisted Review (TAR) task. This problem consists in the process of collecting articles that summarize all evidence that has been published regarding a certain medical topic. This task requires long search sessions by experts in the field of medicine. For this reason, semi-automatic approaches are essential for supporting these types of searches when the amount of data exceeds the limits of users. In this paper, we use state-of-the-art models and weighting schemes with different types of preprocessing as well as query expansion (QE) and relevance feedback (RF) approaches in order to study the best combination for this particular task. We also tested word embeddings representation of documents and queries in addition to three different ranking fusion approaches to see if the merged runs perform better than the single models. In order to make our results reproducible, we have used the collection provided by the Conference and Labs Evaluation Forum (CLEF) eHealth tasks. Query expansion and relevance feedback greatly improve the performance while the fusion of different rankings does not perform well in this task. The statistical analysis showed that, in general, the performance of the system does not depend much on the type of text preprocessing but on which weighting scheme is applied.


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