scholarly journals The importance of research on the Simile-Principle in different medical fields

Author(s):  
Irene Schlingensiepen ◽  
Carola Schröder ◽  
Knut Werner ◽  
Susanne Diez

Backround Observation of the Simile-Principle is attributed to Hippocrates and Paracelsus. With Hahnemann’s methodological observations Homeopathy became the only medical field so far, that applies the Simile-Principle deliberately. This application is currently disputed by mainstream medicine, claiming that there is no scientific rationale for the Simile-Principle. Aim To assess if and how the Simile Priciple can be observed in biomedical research inside and outside of homeopathy. Methods In conventional medicine, we surveyed different therapeutic methods for evidence of the Simile Principle at work. In Homeopathy, we used provings and analysis of our own records from 22 years of monitoring case-takings to discover congruence between a state of illness, a healing agent and longterm clinical outcomes. We also monitored which techniques of questioning and documentation yield a high quality in provings and symptom-collections along the Simile-Principle. Results Conventional-Medicine: We will present examples for therapeutic applications of the Simile–Principle on the chemical, organ and informational level, where Like is used to treat Alike: Allergy-therapies, Vaccinations, Organ-transplants, Psychotherapy. There is no awareness of this underlying principle in Medicine. Homeopathic provings: We will show how exactness of observation, adaquateness of wording and diligence in documentation can range from few trivial symptoms up to a precise image of of the remedy-source. Like in Hahnemann´s patient Klockenbring, this resonance can even evoke information about the source within the prover or the patient. Conclusion In Homeopathy the Simile-Principle is reflected not only in symptoms induced by ingestion. The Simile-Principle to a specific source is reflected both in physical disorders, as well as in the specific perception of illness, healing and in individual talent. Basic and clinical research is needed in Homeopathy and conventional medicine to better understand the Simile-Principle. Modern methods of pattern-recognition can enhance such scientific understanding.

Homeopathy ◽  
2018 ◽  
Vol 107 (03) ◽  
pp. 157-160 ◽  
Author(s):  
Jennifer Jacobs

Background Homeopathy has been used to treat epidemic diseases since the time of Hahnemann, who used Belladonna to treat scarlet fever. Since then, several approaches using homeopathy for epidemic diseases have been proposed, including individualization, combination remedies, genus epidemicus, and isopathy. Methods The homeopathic research literature was searched to find examples of each of these approaches and to evaluate which were effective. Results There is good experimental evidence for each of these approaches. While individualization is the gold standard, it is impractical to use on a widespread basis. Combination remedies can be effective but must be based on the symptoms of a given epidemic in a specific location. Treatment with genus epidemicus can also be successful if based on data from many practitioners. Finally, isopathy shows promise and might be more readily accepted by mainstream medicine due to its similarity to vaccination. Conclusion Several different homeopathic methods can be used to treat epidemic diseases. The challenge for the future is to refine these approaches and to build on the knowledge base with additional rigorous trials. If and when conventional medicine runs out of options for treating epidemic diseases, homeopathy could be seen as an attractive alternative, but only if there is viable experimental evidence of its success.


2018 ◽  
Author(s):  
Songhee Oh ◽  
Jae Heon Kim ◽  
Sung-Woo Choi ◽  
Hee Jeong Lee ◽  
Jungrak Hong ◽  
...  

BACKGROUND It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.


2021 ◽  
pp. 29-42
Author(s):  
admin admin ◽  
◽  
◽  
Adnan Mohsin Abdulazeez

With the development of technology and smart devices in the medical field, the computer system has become an essential part of this development to learn devices in the medical field. One of the learning methods is deep learning (DL), which is a branch of machine learning (ML). The deep learning approach has been used in this field because it is one of the modern methods of obtaining accurate results through its algorithms, and among these algorithms that are used in this field are convolutional neural networks (CNN) and recurrent neural networks (RNN). In this paper we reviewed what have researchers have done in their researches to solve fetal problems, then summarize and carefully discuss the applications in different tasks identified for segmentation and classification of ultrasound images. Finally, this study discussed the potential challenges and directions for applying deep learning in ultrasound image analysis.


2012 ◽  
Vol 10 (Suppl_2) ◽  
pp. S-69-S-74 ◽  
Author(s):  
Stephen G. Bown

Although photodynamic therapy (PDT) has been used successfully to treat an assortment of different types of cancer, it has yet to reach the level of mainstream medicine on either side of the Atlantic. Unsubstantiated claims of PDT’s efficacy in the past may be part of the reason for this. However, perhaps the main obstacle to PDT’s endorsement by conventional medicine is the limited number of high-quality randomized controlled trials (RCTs) comparing it with relevant comparators for all meaningful outcomes, including effectiveness, safety, adverse events, quality of life, survival, and cost. Based on a Health Technology Assessment report on the current status of PDT and consultation with professional groups, specialist societies, and clinical study groups in the United Kingdom, this article explores the current clinical guidelines for use of PDT in cancer treatment and the dearth of supportive data from RCTs.


2019 ◽  
Vol 8 (4) ◽  
pp. 3922-3925

The article presents the main methods of increasing the efficiency of personnel use using motivational tools. The main task of the head of any enterprise is to inspire its employees to perform production tasks, achieve the main goals of the enterprise. In addition to incentives, bonuses, bonuses, non-material incentives for personnel are also used, which is an equally effective tool. The effectiveness of managing enterprises and organizations largely depends on the state and effectiveness of the motivation system for their employees. The formation and development of the motivational system in the enterprise will significantly reduce the level of conflict in the team, increase the level of self-organization and self-government, and, consequently, increase the overall effectiveness and profitability of the enterprise. The goals can be achieved through the formation and progressive improvement of the system of motivation for the personnel of the enterprise, focused on ensuring a high quality of working life of people, which determined the relevance of the chosen topic of work.


Author(s):  
Ekaterina Khitilova ◽  
Miroslav Pokorný

The paper focuses on the issue of choice of suppliers in the market environment. It discusses expert systems as modern methods of its computer support. The issue of supplier choice is presented and viewpoints for the formulation of the decision-making task introduced. The piece of writing furthermore pinpoints the expert character of the solution of this task, making use of the knowledge of experienced professionals. It introduces the principles of fuzzy oriented expert systems as a suitable solution of the task at hand. Language models of the expert systems formalise the high quality mental models of an experienced expert. The global decision-making task is split into partial tasks; the expert modules for their formalisation are integrated into the hierarchic structure. The paper presents the structures of language models and the implementation of the structure of expert systems in the MATLAB-Simulink program environment. Special attention is paid to the issue of supplier flexibility. The efficiency of the decision-making system is proven by the solution of a simulation exercise which represents the classification of two current and two newly contemplated suppliers with various characteristics. The results are analysed and commented on.


2021 ◽  
Vol 9 (32) ◽  
pp. 115-124
Author(s):  
Lyn Brierley-Jones

When Samuel Hahnemann devised homoeopathy he constructed multiple arguments that both vehemently supported his new system and criticized the conventional medical practice of his day. At the end of the 19th century when homeopathy had grown within Britain and America, homeopaths failed to make use of some of Hahnemann’s most successful arguments. Instead, homeopaths found themselves lose significant cognitive ground to their long time conventional rivals with the dawn of the 20th century, a ground they have not yet recovered. This paper uses the theoretical framework of Berger and Luckmann to analyse the dynamics of the arguments used against homeopathy and suggests that homeopaths failed to adopt a universalizing medical explanation that was available to them: the reverse action of drugs. Had they used this argument homoeopaths could have explained conventional medicine successes within their own universe of meaning and thus neutralized the impact of conventional on their practice. The implications of these conclusions for the future survival and success of homoeopathy are considered.


2000 ◽  
Vol 6 (2_suppl) ◽  
pp. 85-85 ◽  
Author(s):  
Minoru Wada ◽  
Ryuta Suzuki ◽  
Tokumichi Murakami

Super-high-definition (SHD) images are those with more than 2048 pixels x 2048 lines. They are of interest in the medical field because of their very high quality. We have developed a new SHD system for still pictures which is based on an SHD card that can be installed in a PC. We think that certain telemedicine applications will be facilitated by the use of SHD images.


2020 ◽  
pp. 48-56
Author(s):  
I. Yu. Ukhartseva ◽  
E. A. Tsvetkova ◽  
V. A. Goldade

Modern methods of control of functional and operational properties of packaging materials for foodstuffs are presented and their features are characterized. It is shown that quality control of polymer packaging materials for food products is key in determining the possibility of their intended use. The testing results enable assessing the possibilities, limitations and optimizing the process and get high-quality packaging.


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