Market Share Analysis (2019)10.4.1. Artificial Intelligence in Medical Imaging (AIMI, Artif Intell Med Imaging) is a high-quality, online, open-access, single-blind peer-reviewed journal published by the Baishideng Publishing Group (BPG). Growing Potential of AI-Based Tools in the Treatment of Chronic and Infectious Diseases4.4.2. After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. Medical Imaging . The types of articles published in the AIMI include Editorial, Opinion Review, Frontier, Review, Minireview, Basic Study, Clinical Research, Systematic Review, Meta-analysis, Evidence-based Medicine, Field of Vision, Clinical … Introduction10.2. Introduction7.2. IBM Corporation (U.S.)11.  Issue 3, Francesco Verde, Valeria Romeo, Arnaldo Stanzione, Simone Maurea, Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi, © 2004-2021 Baishideng Publishing Group Inc. All rights reserved. Research Methodology3. Rising Venture Capital Investments in Artificial Intelligence for the Healthcare Sector4.2.2. Company Profiles, For more information about this report visit https://www.researchandmarkets.com/r/dm8tac. Services5.4. January 15, 2021 - Artificial intelligence can analyze pre-operative MRI scans to predict patient outcomes following prostate cancer surgery, a study published in EBioMedicine.. A critical factor in managing prostate cancer in men undergoing surgery is identifying which are at highest risk of recurrence and prostate cancer-specific mortality. Drivers4.2.1. This article looks at the various processes and subfields, relating to the roles of artificial intelligence in medical imaging. Opportunities4.4.1. Growing Shortage of the Healthcare Workforce4.2.7. Introduction5.2. Of 24,000 ESR members contacted, 675 (2.8%) completed the survey, 454 males (67%), 555 (82%) working at academic/public hospitals. Discrepancies Arising Due to Upgrades and Human Barriers to AI Adoption5. North America is estimated to command the largest share of the overall healthcare artificial intelligence market in 2020, followed by Europe, Asia-Pacific, Latin America, and Middle East & Africa. Over recent years, we have witnessed AI revolutionising all kinds of medical imaging, including X-ray, ultrasound, computerised tomography (CT), MRI, fMRI, positron emission tomography (PET), and single photon emission computed tomography (SPECT). It is almost impossible in modern society to avoid exposure to artificial intelligence (AI) solutions such as facial recognition, speech recognition, spam filters, chatbots, and personalized web-based advertising. Acquisition of Small Healthcare AI Players by Big Companies to Offer Better AI Solutions4.2.3. Hospitals & Diagnostic Centers8.3. In the health field, artificial intelligence is widely used in medical imaging, as it allows a better characterization and a faster identification of metastases that can improve the outcomes of therapies. Global Healthcare Artificial Intelligence Market, by Product & Solution5.1. Urgent deployment of a previously validated AI algorithm clinically was easy to use and was found to have an impact on clinical decision making during the predicted surge period of a global pandemic. Software5.3. 02million in 2019 and is projected to reach US$ 66,811. Drug Discovery7.3. Hospital Workflow Management7.4. According to GE Healthcare, “90% of all healthcare data comes from medical imaging. RSNA’s Radiology: Artificial Intelligence is the first peer-reviewed journal to focus entirely on the technology, signaling radiology’s place at the forefront of the AI revolution within healthcare. But the journal and the profession are both likely to have lots of company at the head of the class before long. AIMI accepts both solicited and unsolicited manuscripts. After an introduction on game changers in radiology, such as deep learning technology, the … Rising Need to Reduce Healthcare Costs4.2.5. VIDEO: Examples of How Artificial Intelligence Will Improve Medical Imaging. Artificial Intelligence in Gastroenterology, Artificial Intelligence in Gastrointestinal Endoscopy, Artificial Intelligence in Medical Imaging, World Journal of Clinical Infectious Diseases, World Journal of Gastrointestinal Endoscopy, World Journal of Gastrointestinal Oncology, World Journal of Gastrointestinal Pathophysiology, World Journal of Gastrointestinal Pharmacology and Therapeutics, World Journal of Gastrointestinal Surgery, World Journal of Obstetrics and Gynecology, Timeline of Article Publication Processes (3), Timeline of Article Publication Processes (5), Guidelines for Manuscript Type and Related Ethics Documents, Guidelines for the Manuscript Publishing Process, Language Editing Process for Manuscripts Submitted by Non-Native Speakers of English, Association of Learned and Professional Society Publishers (ALPSP), International Association of Scientific, Technical & Medical Publishers (STM), Open Access Scholarly Publishers Association (OASPA). 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