Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening
Miles F. GreenwaldIan DanfordMalika ShahrawatSusan OstmoJames M. BrownJayashree Kalpathy‐CramerRobert L. SchelonkaHoward CohenJ. Peter CampbellMichael F. Chiang
0
Citation
0
Reference
20
Related Paper
Cite
Using telemedicine to care for home-bound patients increases patients' access to care, reduces resource consumption, and improves use of scarce health professionals.
Merge (version control)
Cite
Citations (6)
Teledermatology
Cite
Citations (2)
Cite
Citations (0)
Cite
Citations (0)
In today's world, digitalization is becoming more popular in all aspects. One of the keen developments that have taken place in the 21st century in the field of computer science is artificial intelligence (AI). AI has a wide range of applications in the medical field. Imaging, on the other hand, has become an indispensable component of several fields in medicine, biomedical applications, biotechnology, and laboratory research by which images are processed and analyzed. Segmentation of images can be analyzed using both fuzzy logic and AI. As a result, AI and imaging, the tools and techniques of AI are useful for solving many biomedical problems and using a computer-based equipped hardware–software application for understanding images, researchers, and clinicians, thereby enhancing their ability to study, diagnose, monitor, understand, and treat medical disorders. 196Patient monitoring by automated data collection has created new challenges in the health sector for extracting information from raw data. For interpretation of data quickly and accurately the use of AI tools and statistical methods are required, for interpretation of high-frequency physiologic data. Technology supporting human motion analysis has advanced dramatically and yet its clinical application has not grown at the same pace. The issue of its clinical value is related to the length of time it takes to perform interpretation, cost, and the quality of the interpretation. Techniques from AI such as neural networks and knowledge-based systems can help overcome these limitations. In this chapter, we will discuss the key approaches using AI for biomedical applications and their wide range of applications in the medical field using AI. The different segmentation approaches their advantages and disadvantages. A short review of prognostic models and the usage of prognostic scores quantify the severity or intensity of diseases.
Cite
Citations (2)
By applying computer and multi-media technology to medical industry,remote medical system has aquired great improvement.This paper introduces the process,function of remote diagnosis system in our hospital,and puts forward some improvement suggestions.
Cite
Citations (0)
Cite
Citations (2)
Telemedicine system has become as a major research topic due to the increase of aging population and chronic diseases. Patients usually transfer their test results to the hospitals or doctors through telemedicine system. The purpose of this report is to combine the current medical equipments and services with and the most recent network technology. Through telemedicine system, patients will have more comprehensive medical care and can access test results from their home. Doctors can conduct remote prescriptions to the patients after conducting remote on line monitoring and checking on their patients.
Medical services
Cite
Citations (0)
Objective To utilize the expert resource in central hospital for helping doctors in community hospital to make suitable diagnosis and treatment,improve the technical level of community medical care. Methods The Telemedicine Diagnosis System is developed based on B/S mode and Microsoft Visual Studio.net C#2005 in Windows platform. Results The Telemedicine Diagnosis System has been developed, and realized the function of interface display, information management, medical image transmission and telemedicine diagnosis. Conclusion The system has friendly interface, simple operation, more reliability and quick data transmission, and it can accurately realize the experts' telemedicine diagnosis in time.
Interface (matter)
Cite
Citations (0)
Abstract : The Akamai Project corresponds with the Joint Science and Technology Plan (JSTP) for Telemedicine, published by the Director, Defense Research and Engineering. A telemedicine needs assessment protocol has been developed to support future programs. Telemedicine capabilities are applied to urgent care, hemodialysis, pathology, radiology, surgery and nuclear medicine. A telemedicine evaluation protocol has been fully implemented. Telemedicine is more than patient care and technology; the potential social impact and questions of data security and patient confidentiality have been assessed. The latter have been studied extensively and a new testing environment is underway. Technologies under development include a multimedia database and a virtual reality application for spine surgery, biopsy and breast palpation. These advanced concepts will play significant roles in telemedicine corresponding to the JSTP statement. As an educational program, teens from DC were trained to develop a home page to educate other teens about the risk of sexually transmitted diseases. Significant progress has been made in segmentation, particularly in developing better edge detection capability, which is fundamental to the success of various imaging projects. * Advances in chest imaging, especially in image processing, will further improve the quality of images in the telemedicine environment. We are working on telemedicine support for chronically ill patients with diabetes, hypertension and/or kidney disease. Much of this work will be done in collaboration with the USAMRMC and Walter Reed Army Medical Center.
Cite
Citations (0)