Artificial Intelligence in Medical Diagnostics Market (2022-2029)

Artificial intelligence (AI) in medical diagnostics is a powerful tool that has the potential to make healthcare more accessible and affordable by assisting healthcare providers in making accurate and quick treatment decisions for their patients. The accurate diagnosis of a disease takes years of medical training and is a time-consuming process. The use of AI in medical diagnosis has proven to give accurate diagnoses, aid in clinical decisions, and enhance physicians' judgment.

AI in medical diagnostics includes AI solutions that aid physicians with medical decision-making. AI-based solutions can be used to diagnose cancer, triage critical findings in medical imaging, flag acute abnormalities, help radiologists prioritize life-threatening cases, diagnose cardiac arrhythmias, predict stroke outcomes, and help with the management of chronic diseases.

The growth of this market is driven by the growing need for the adoption of AI in medical diagnosis to reduce errors, the shortage of healthcare professionals, and the rising incidence rate of chronic diseases. In addition, the growth potential in emerging economies and the growing number of cross-industry partnerships & collaborations are expected to provide significant growth opportunities for this market.

However, the reluctance to adopt AI technologies due to a lack of trust is expected to restrain the growth of this market. In addition, factors such as regulatory barriers and privacy & security concerns are the major challenges to the growth of this market

The outbreak of the COVID-19 pandemic adversely affected the healthcare sector globally. The number of people infected with COVID-19 skyrocketed, causing a huge burden on the health system worldwide. COVID-19 mainly affects the lungs of the patients. Hence, cardiothoracic imaging in COVID-19 cases is a common diagnostic practice to identify the severity of the disease. The number of research studies using AI techniques to diagnose COVID-19 rapidly increased in 2020. Many studies focused on diagnosing COVID-19 from chest CT images using AI technology. Several studies showed AI models to be as accurate as experienced radiologists in diagnosing COVID-19.

Technology giants and healthcare companies worldwide began ramping up their efforts to develop AI systems and software to detect COVID-19 cases. The crisis accelerated the investments in collecting data and developing AI tools. The development of AI solutions for chest radiology and the adoption of technologies that support remote care, including AI-based technologies, increased significantly during the pandemic. For instance:

In April 2020, the Bolton NHS Foundation Trust (U.K.) partnered with Qure.ai (India), a healthcare AI start-up engaged in developing solutions for monitoring COVID-19 patients. The start-up developed the qXR, a diagnostic software used to detect the findings indicative of COVID-19 and quantify the volume of the infection. The qXR solution automates the interpretation of COVID-19 proliferation from chest X-rays, making it easier for healthcare professionals to monitor the extent and rate of progression of the viral infection.

In April 2020, THIRONA (Netherlands) partnered with Smart Reporting GmbH (Germany) to launch CAD4COVID-CT, an artificial intelligence software for detecting COVID-19 cases through CT scans. The software enables quicker detection of COVID-19 cases.

Thus, the role of AI technology in assisting the healthcare sector in fighting the COVID-19 pandemic is evident, and its adoption is expected to increase in the future, subsequently driving the growth of the AI in medical diagnostics market in the coming years.