Home » Future | Growth and Emerging Trends For AI in Medical Diagnostics Market

Future | Growth and Emerging Trends For AI in Medical Diagnostics Market

by NeilR889

The growing awareness of the benefits offered by AI techniques and their wide application areas has led to the increased adoption of these products and services in the healthcare market. Various leading companies in the healthcare market are entering into partnerships and collaborations with leading AI technology providers to come up with innovative AI-based solutions for applications in healthcare.

Due to the growing demand for novel AI-based techniques in the medical diagnostics market, such developments are helping companies gain momentum in terms of developing advanced products and tools.

Currently, many healthcare professionals have doubts about the capabilities of AI solutions in terms of accurately diagnosing patient conditions. Considering this, it is challenging to convince providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer convenience to doctors as well as better care for patients.

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Furthermore, the healthcare sectors in emerging economies, such as India and China, are rapidly growing, resulting in the introduction of new medical technologies with a special focus on advanced imaging equipment. All these factors, coupled with the growing population in these countries, are expected to increase the medical imaging data volumes in their respective healthcare systems. This provides a great untapped development opportunity for AI-based solutions in emerging countries.

The global AI in medical diagnostics market has been segmented into North America, Europe, the Asia Pacific (APAC), and the Rest of the World (RoW). In 2019, North America accounted for the largest market share of 37.6%. However, the APAC  market is projected to register the highest CAGR of 53.2% during the forecast period.

Key Market Players

Some of the prominent players operating in the AI in medical diagnostics market are Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Day Zero Diagnostics (US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US). 

AI and radiomics, which are being applied to X-ray and CT scans as advanced imaging tools in the detection and follow-up of COVID-19, have been able to diagnose the presence of the infection. This is because AI algorithms and radiomics used for chest X-rays can help undertake massive screening programs. For instance, Zhongnan Hospital (China) uses AI to interpret CT scans and identify COVID-19 symptoms when human radiologists are unavailable.

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