-KEYNOTE 1:
Principles of Laser Application in Medicine
Abstract
Laser are used today more and more in therapy and diagnostics. In diagnostics they are used additional to other procedures like metabolic monitoring (fluorescence diagnostic) resp. for optical imaging (Infrared-diaphanoscopy).
Main topic of medical applications therapy, in which Laser is sometime a surgical instrument sometime a central, alone standing therapeutic procedure.
But it is forgotten that Laser is light, a special light, but the biological reactions are in general not different from normal light . This is important to prevent disappointments on the other to use the experience of photobiology and light therapy. In medicine Laser is used since his invention 40 years ago mostly destructive but nature uses light since billion of years mainly constructive! So Lasers are used not only for cutting and removal on surfaces the application is more complex. This is caused by a continuous technical development of Laser-systems and accessories, like endoscops, but more important is the better knowledge about Laser-tissue-interaction.
The field of application is broad, there are daily new indications but other are replaced by the development of other techniques like Radiofrequency.
The indications are from plastic surgery over the congenital and vascular diseases to open surgical organ and tumor resections. Very important is Laser in endoscopic surgery and in interstitial Lasercoagulation. But in contrast to thermal procedures the indication for Photo dynamic Therapy are dysplasias and virus-induced tumors.
The experiences by the Photodynamic Therapy and the better understanding of biochemical metabolic processes open the field of indications for this therapeutic principle also for benign chronical diseases.
By:
Prof. Dr.med. H.-Peter BerlienAfter graduating from the faculty of medicine at the Freie Universität Berlin in 1976 Prof. Berlien started his surgical education and received his doctorate specializing in paediatric surgery in 1981.
In1985 he became medical director of the Centre for Laser and Medical Technology Berlin (LMTB). In 1989 he became professor for laser medicine at the Freie Universität Berlin. In 1996 he has been head of department for laser medicine at the Klinikum Neukölln and Elisabeth Klinik Berlin. 2014 he handed over the position as the head of the department to his Vice Director Dr. Carsten Philipp and continues his work as Director for Science and Research in Laser Medicine within the Department.
Since this time he works in science and development. He is member of several international committees ans serves even as convener in International Standardization Organization
-KEYNOTE 2:
Multimorbidity, a challenge for medical treatment, research and health care management
Abstract
Multimorbidity is a highly prevalent phenomenon in the elderly and of growing public health impact in aging societies due to rising life expectancies, more effective medical treatment and comprehensice social care facilities, resulting in longevity.
The increasing number of patients at an age of 60 and more are expected to have between 5 to 7 active diagnoses with multiple conditions and pathological states, varying recommendations for therapy and diverse personal wishes and contextual factors influencing. Disease-disease interactions have an impact on patient management processes, disease-disease medication interactions must be considered and balanced and potential medication-medication interactions kept in mind and avoided. Furthermore the interaction between somatic and psychiatric diseases is a completely underestimated field of conflicts and misjudgements. Multimorbidity is an important field of research as well. Thus the lack of guidelines covering multimorbdity is more the rule than an excemption if not explicitely adddressing old age.
Multimorbidity is going along with multiple changing of medical consultations, the need for a comprehensive care by different professions with time-consuming and strenuous transitions and communication routes, repeated hospital treatments, polypharmacy with frequently undesired mutual actions of drugs, unnecessary or redundant examinations and conflicting instructions for therapy resulting in accumulating complications unless rationally analyzed.
Multimorbidity is more than an addition of different diseases. It is a complex net of mutually influencing factors like physical functioning, mental well-being, social relationships and environmental factors. Therefore therapy of multimorbidity is more sensitive for contextual factors, needs multimodal and multidisciplinary support with attention for the patients’ resources and an increasing need for prevention, therapy, rehabilitation, assistive technologies and social care at the place of residence or nearby.
By:
Professor Dr. med. Wolfgang Seger is a specialist in Internal Medicine, Gastroenterology, Rehabilition and Social medicine. He is Chairman of the Health Advisory Board of the Federal Rehabilitation Council in Germany. He recently retired from the Directory of the Health and Long-Term-Care Advisory Board of all Social Health Insurances in Lower Saxony, Germany which he served for more than 25 years. Prof. Seger is chair of the Health Sciences Section of the Medical Technologies Journal.
-KEYNOTE 3:
Adventures in the multimodality imaging technology wonderland
Abstract
Early diagnosis and therapy increasingly operate at the cellular, molecular or even at the genetic level. As diagnostic techniques transition from the systems to the molecular level, the role of multimodality molecular imaging becomes increasingly important. Positron emission tomography (PET), x-ray computed tomography (CT) and magnetic resonance imaging (MRI) are powerful techniques for in vivo imaging. The inability of PET to provide anatomical information is a major limitation of standalone PET systems. Combining PET and CT proved to be clinically relevant and successfully reduced this limitation by providing the anatomical information required for localization of metabolic abnormalities. However, this technology still lacks the excellent soft-tissue contrast provided by MRI. Standalone MRI systems reveal structure and function, but cannot provide insight into the physiology and/or the pathology at the molecular level. The combination of PET and MRI, enabling truly simultaneous acquisition, bridges the gap between molecular and systems diagnosis. MRI and PET offer richly complementary functionality and sensitivity; fusion into a combined system offering simultaneous acquisition will capitalize the strengths of each, providing a hybrid technology that is greatly superior to the sum of its parts. However, the technology suffers from a number of drawbacks that will be discussed in this lecture.
This talk also reflects the tremendous increase in interest in multimodality molecular imaging using PET as both clinical and research tool in the past decade. It offers a brief overview of the entire range of technical developments from basic principles to various steps required for obtaining quantitatively accurate data from dedicated combined PET/CT and PET/MR systems including algorithms used to improve image quality and achieve high quantitative accuracy. Future opportunities and the challenges facing the adoption of multimodality imaging technologies and their role in biomedical research will also be addressed.
By Prof. Habib Zaidi1,2,3,4
1Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Switzerland
2Department of Nuclear Medicine and Molecular Imaging, University of Groningen, The Netherlands
3Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark
4Institute for Advanced Studies, University of Cergy-Pontoise, Cergy, France
Email: habib.zaidi@hcuge.ch
-KEYNOTE 4:
Medical Imaging – Principles and Applications
Abstract
Medical imaging was born just over a hundred years ago. Today, imaging techniques are numerous, often complementary. They were developed from major discoveries in 20th century physics: X-rays and radio waves, natural and finally artificial radioactivity, and magnetic properties of nuclei and atoms. They rely on advances in medicine and advances in physics, chemistry, applied mathematics, electronics and computer science. Medical imaging is constantly evolving and improving with the use of innovative technologies that are increasingly accurate and efficient. It is now possible not only to observe an organ, but also to see it work, thanks to still or moving images. Medical imaging is increasingly used for diagnosis, in addition to clinical examination and other investigations, such as biological tests or neuropsychological tests.
Since the very first radiograph, in 1895, medical imaging has made striking progress. Revolutionizing medicine, it allows today to visualize bones, tissues and organs in a more accurate and less invasive way. The goal? Track anomalies, obviously, but also, to heal. In research laboratories, many scientists are working to improve different technologies and invent new ones.
In this presentation, two aspects of medical imaging will be exposed. The first aspect is concerned with image acquisition techniques, used for diagnosis and for the search for lesions, mentioning that in some cases, a single modality cannot suffice, and must be combined with others, to arrive at the desired result. This aspect has revolutionized medicine by giving immediate and reliable access to information, until then “invisible” to clinical diagnosis, such as anatomical characteristics, or even certain aspects of metabolism (functional imaging) of organs.
The second aspect is the processing and analysis of images, using developed software, to help with diagnosis or help with surgery. All of the used techniques to extract relevant information from a medical image will be used, and disciplines such as mathematics, computer science, image processing (and signal processing in general) will be involved in this domain.
Here too, a cooperation of mathematical tools is necessary to highlight the pathology with maximum precision, to characterize it, and to draw from the information that the practitioner needs.
During the presentation of these two aspects, practical applications will be given and examples of treatment will be discussed.
By Pr Yazid Cherfa Université Saad Dahlab de Blida1 Algeria.
Keynote 5
Innovative Artificial Intelligence (AI) Approaches for Medical Image Analysis
Abstract: Artificial Intelligence techniques such as Artificial Neural Networks (ANN) and Fuzzy logic theory have gained significant attraction from all domains of practical applications. One of the prime application areas is the medical field in which medical image processing needs the assistance of AI based approaches for better performance of the system. The performance of the AI based medical image analysis approaches are judged based on the accuracy and convergence rate (time requirement). However, the million dollar question is whether the conventional AI based systems can satisfy both these performance measures in the same single approach. The answer is a big NO which clearly reveals the scope of improvement in the conventional AI based medical image processing approaches.
In this talk, I propose several innovative ANN and fuzzy based approaches for medical image analysis. The innovative ANN and fuzzy based approaches are developed by performing suitable modifications in the training algorithms and architecture of conventional ANN and fuzzy approaches. The efficiency of the proposed approach is explored in the context of abnormality detection in Magnetic Resonance (MR) brain tumor images. The algorithms will be clearly detailed along with the case study based on my research work.
This talk will definitely trigger a spark in the minds of young researchers working/beginning to work in the area of AI to develop an innovative system on their own. This talk also will serve as an ideal platform for a newcomer to understand the interesting aspects of AI towards medical perspective.
By Dr . D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 100 research papers in reputed SCIE indexed/Scopus indexed International Journals and International Conferences with leading publishers such as Elsevier, Springer, IEEE, etc. His Cumulative Impact Factor is more than 50. He has authored 1 book with (VDM-Verlag, Germany) and 11 edited books with reputed publishers such as Elsevier, Springer, IET and IOS Press.
He has been serving as Associate Editor of SCIE Indexed International Journals such as IEEE Access Journal (IEEE) and Journal of Intelligent and fuzzy systems (IOS Press). He serves as an Editorial Board member/Guest Editor of many journals with leading publishers such as Springer (Sensing and Imaging) and Inderscience (IJAIP, IJICT, IJCVR, IJBET). He is the series editor of “Biomedical Engineering” book series in Elsevier.
He has been also the organizing committee member of several international conferences across the globe such as Portugal, Romania, UK, Egypt, China, etc. He has delivered more than 50 Invited Lectures in International Conferences/workshops. He holds professional membership with IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernatics Society). He has completed 1 funded research project from CSIR, Govt. of India. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina and RIADI Lab, Tunisia. Currently, he is working as Associate Professor in Department of ECE, Karunya University, Coimbatore, India.
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