The global point of care (POC) CT imaging systems market size is projected to reach USD 869.6 million by 2027, exhibiting a CAGR of 19.9% during the forecast period. Development and introduction of POC CT imaging systems powered by artificial intelligence (AI) is set to emerge as a novel growth opportunity for the market, observes Fortune Business Insights™ in its report, titled “Point of Care (POC) CT Imaging Systems Market Size, Share & COVID-19 Impact Analysis, By Product Type (Full-sized, Compact), By Application (Hospitals, Ambulatory Surgical Centers, Radiology Centers, and Clinics), and Regional Forecast, 2020-2027”. AI has steadily penetrated the healthcare industry and companies are leveraging AI capabilities to develop cutting-edge diagnostic and surgical solutions. In March 2019, for instance, Siemens Healthineers showcased its AI-Rad Companion Chest CT, an AI-powered software assistant to aid radiologists, at the ECR 2019 expo. Equipped with advanced algorithms, the CT system can automatically highlight distinct structures in the thorax and detect potential anomalies. Another example is Aidoc, a deep learning startup, which launched a comprehensive full-body AI-enabled CT scan solution. The system is designed to support radiologists by covering the head, c-spine, chest, and abdomen areas. The integration of AI into point of care CT imaging systems will, therefore, propel the growth of this market in the foreseeable future.
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Spike in Hospital Admissions amid COVID-19 to Stimulate Growth
The COVID-19 pandemic outbreak is proving beneficial for the point of care CT imaging systems market growth. This is mainly attributable to the sudden spike in hospital admissions via the emergency departments in hospitals as coronavirus-infected people tried to seek immediate medical help. In the US, for example, a joint study by Yale University and the Mayo Clinic found that emergency department admissions in hospitals rose by 22% in North Carolina and a whopping 149% in New York. POC CT imaging equipment plays a critical role in providing an efficient diagnosis of infections or in detecting internal injuries in case of accidents, which are typically brought into healthcare facilities through the emergency departments. However, despite the high importance of these machineries, the COVID-19 pandemic has contracted their usage as people are avoiding going to hospitals for fears of contracting the infection. A study by the University of Athens has also concluded that high priority given by patients to economic needs is also factor prohibiting them from seeking emergency care.
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