Machine Learning & Medical Imaging will Together Change Healthcare Forever
Medical imaging has undergone major advancements in the modern medicine and is helping achieve information about human body that has many useful clinical applications, thus increasing the life expectancy of human beings. Hence, huge investments are made to bring in cutting-edge techniques and disruptions to this sector. Several reasons akin to increasing grants from the government bodies for modernization of imaging facilities, increasing investment from public-private organizations, growth in the number of diagnostic imaging centres, subsequent growth in the incidence of various diseases, technological advancements in diagnostic imaging modalities and others will take theindustry by storm in the next few years. Even in its report, Markets and Markets highlighted the global diagnostic imaging market to reach over $36.43 billion by 2021, which will grow at a CAGR of 6.6 percent from 2016 to 2021.
But with increasing number of medical imaging images, radiologists need new methodologies to extract and represent data from these images more efficiently to be able to provide better healthcare services. Hence, machine learning or deep learning practice in medical imaging industry is on a constant rise and imaging companies are investing heavily on R&D to check on the best future possibilities of integrating machine learning/deep learning with medical imaging. Further technologies like color Doppler, robotic guided biopsy, 4D ultrasound and other technologies will boost the imaging market. But the challenge lies in comprehending and using them in diagnostic process by the physicians and doctors. Hence, a lot of emphasis is currently given on developing these products with an ease of use, and patient friendliness.
In this edition of siliconindia Healthcare, we bring to you a comprehensive list of ‘10 Most Promising Medical Imaging Product & Solution Companies - 2017’. The list comprises of names that are among the top leaders in this industry and are working towards making diagnostic imaging more tech-savvy and user friendly but without compromising on the quality of their offerings.
Do let us know what you think!
But with increasing number of medical imaging images, radiologists need new methodologies to extract and represent data from these images more efficiently to be able to provide better healthcare services. Hence, machine learning or deep learning practice in medical imaging industry is on a constant rise and imaging companies are investing heavily on R&D to check on the best future possibilities of integrating machine learning/deep learning with medical imaging. Further technologies like color Doppler, robotic guided biopsy, 4D ultrasound and other technologies will boost the imaging market. But the challenge lies in comprehending and using them in diagnostic process by the physicians and doctors. Hence, a lot of emphasis is currently given on developing these products with an ease of use, and patient friendliness.
In this edition of siliconindia Healthcare, we bring to you a comprehensive list of ‘10 Most Promising Medical Imaging Product & Solution Companies - 2017’. The list comprises of names that are among the top leaders in this industry and are working towards making diagnostic imaging more tech-savvy and user friendly but without compromising on the quality of their offerings.
Do let us know what you think!
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