A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging.

Purpose:High-quality, wide-field retinal imaging is a valuable method for screening preventable, vision-threatening diseases of the retina. Smartphone-based retinal cameras hold promise for increasing access to retinal imaging, but variable image quality and restricted field of view can limit their utility. We developed and clinically tested a smartphone-based system that addresses these challenges with automation-assisted imaging. Methods:The system was designed to improve smartphone retinal imaging by combining automated fixation guidance, photomontage, and multicolored illumination with optimized optics, user-tested ergonomics, and touch-screen interface. System performance was evaluated from images of ophthalmic patients taken by nonophthalmic personnel. Two masked ophthalmologists evaluated images for abnormalities and disease severity. Results:The system automatically generated 100° retinal photomontages from five overlapping images in under 1 minute at full resolution (52.3 pixels per retinal degree) fully on-phone, revealing numerous retinal abnormalities. Feasibility of the system for diabetic retinopathy (DR) screening using the retinal photomontages was performed in 71 diabetics by masked graders. DR grade matched perfectly with dilated clinical examination in 55.1% of eyes and within 1 severity level for 85.2% of eyes. For referral-warranted DR, average sensitivity was 93.3% and specificity 56.8%. Conclusions:Automation-assisted imaging produced high-quality, wide-field retinal images that demonstrate the potential of smartphone-based retinal cameras to be used for retinal disease screening. Translational Relevance:Enhancement of smartphone-based retinal imaging through automation and software intelligence holds great promise for increasing the accessibility of retinal screening

Special Libraries, Summer 1992

Volume 83, Issue 3https://scholarworks.sjsu.edu/sla_sl_1992/1002/thumbnail.jp

Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education

The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.ope

Air Force Institute of Technology Research Report 2017

This Research Report presents the FY18 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs)

MDPI Annual Report 2017

Contents: Message from the CEO ● MDPI at a Glance ● Key Figures ● 19 Journals Launched in 2017 ● Preprints.org in 2017 ● Scilit in 2017 ● Sciforum in 2017 ● Institutional Open Access Program in 2017 ● OA Initiatives in 2017 ● Top MDPI Books in 2017 ● Journal Development in 2017 ● Journals Tracked for Impact Factor in 2018 ● Electronic Conferences in 2017 ● Call for Expression of Interest ● Physical Conferences in 2017 ● About MDPI ● Corporate Social Responsibility at MDPI ● Upcoming Physical Conferences in 2018 ● Collaborations with Societies ● JAMS ● Stay Connected The year 2017 has been extremely interesting and rewarding for open access publishing and for open science. Funders and policy-makers have demonstrated a strong commitment and support for open access publishing, and to immediate availability of research output. In 2017, MDPI has continued to focus on its primary purpose of making science openly and rapidly available. We took great care in fulfilling this mission, and constantly kept in mind our responsibility towards researchers and science, to disseminate the latest research findings without delay, facilitating new research projects to be initiated and new breakthroughs to be made. We published 35,950 peer-reviewed articles in our journals, 96 % of which are available in Web of Science. This marks a 52.5 % increase compared to 2016 and makes MDPI a leader among pure open access publishers. This has only been possible thanks to the trust that authors have placed in our journals, the dedication of our academic editors and reviewers, and the devotion of MDPI team members for every single manuscript. In 2017, we continued to demonstrate our commitment to serving research communities. We signed several initiatives, such as the Initiative for Open Citations ( I4OC ) and the San Francisco Declaration on Research Assessment ( DORA ), and we joined the trial of Knowledge Unlatched for funding open access in the Humanities. We strengthened our program to reward and credit the important work done by reviewers by transferring reviewers\u27 information to Publons and offered APC vouchers to reviewers for future publications in our journals. We also added a free job advertisement service on the website of each journal. We presented more than 100 awards for researchers, including The World Sustainability Award and The Emerging Sustainability Leader Award, and sponsored 2397 academic events. Our literature database, Scilit, expanded and now contains more than 100 million publication records, a number that increases every day, and we launched SciFeed for users to receive regular alerts about new articles in their field from any publisher. I believe that 2018 will be a crucial year for the future of open access. Libraries, policy-makers and funders are starting to work together to effect a permanent transition. At MDPI, we are looking forward to keeping up with these important developments.--Dr. Franck Vazquez, Chief Executive Office

Information Outlook, April 2003

Volume 7, Issue 4https://scholarworks.sjsu.edu/sla_io_2003/1003/thumbnail.jp