There is a growing awareness that artificial-intelligence (AI) has been used in the analysis of complicated and big data to provide outputs without human input in various health care contexts, such as bioinformatics, genomics, and image analysis.
This market segment is now expected to grow at 24% CAGR until 2027, surpassing the global growth forecast of 22% CAGR over the same period, according to KPMG analysis.
The growth in business is representative of the latest research released by Colliers International HealthcareAnalysis, which has revealed that healthcare spending in the UAE alone has grown at a Compound Annual Growth Rate (CAGR) of 8.8% between 2011 and 2019, and expected to reach US$ 2.4 billion by 2025 and US$ 3.6 billion by 2030.
This includes AI-driven personalized outreach for tailored reminders and wellness education, as well as creating comprehensive, patient-centric care journeys. We also explore how cohort analysis and analytics enable targeted interventions for better health outcomes. In Part 2, we shift to improving productivity within the clinic.
Meanwhile, Microsoft’s InnerEye research project uses state of the art ML technology to build innovative tools for the automatic, quantitative analysis of three-dimensional radiological images turning radiological images into measuring devices.
Published ahead of ArabHealth 2019, which takes place from 28 – 31 January at the Dubai World Trade Centre, the latest research from Colliers International provides in-depth analysis of the key factors impacting the “Diabesity” epidemic - which refers to a twin occurrence of the epidemics of Type 2 diabetes and obesity - with a focus on ...
Attempts are ongoing to identify lesions that will start growing back before they actually do, by radiomic analysis. Images are like the dark matter of the universe, they have hidden information derived, for example, from the spatial distribution of pixels, that may be decoded and processed to obtain scores of probabilities.
AI-powered language services facilitate better data analysis and insights Precise real-time transcription via speech recognition tech can also free up hospital bed space and reduce patient readmissions.
“While we need the collection and analysis of the data, we also need actionable items from it,” he stressed. “You need to get information from the data. The tools to derive actionable information include artificial intelligence and predictive analytics. Multiple companies in the U.S are taking advantage of this, which is exciting.
Artificial intelligence is integrated into data collection and analysis, enhancing early detection and lifestyle insights. Aligned with the ministry's mission to improve public health, the project offers follow-up consultations, a dedicated hotline, and the publication of data in medical papers, emphasising its comprehensive and public-focused ...
