AI-powered diagnosis apps signify transformative shift in healthcare delivery

The burgeoning market for AI-driven diagnostics expected to surpass $908.7 billion in 2030

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New Delhi: Advancements in medical technology, particularly the integration of artificial intelligence (AI), are reshaping diagnostic procedures and patient care. With the burgeoning market for AI-driven diagnostics expected to surpass $908.7 billion in 2030, innovative AI-powered diagnosis apps signify a transformative shift in healthcare delivery.
These technologies promise real-time insights, personalized treatment plans, and cost-effective solutions, enhancing both efficiency and patient outcomes, says GlobalData, a leading data and analytics company.
Elia Garcia, Medical Analyst at GlobalData, comments: “The remote patient monitoring market is expected to reach $760 million in 2030. Similarly, the anticipated AI market  growth demonstrates the significance of AI and machine learning for diagnostics in the healthcare industry going forward. These trends indicate a developing market that is eager for capital and new ideas, and AI-driven solutions have the potential to completely transform the way that healthcare is provided.”
One such area where AI is making significant strides is the diagnosis and management of specific medical conditions, such as scoliosis. With recently FDA approved AI-predicting app Momentum Spine, Momentum Health has made substantial strides in the treatment of scoliosis.
This non-invasive technique is said to not only increase the accessibility but also enable more proactive and customized patient care. The users can record a video with their mobile device and the app will use that footage to create a 3D model of the torso using 3D imaging created with AI.
Garcia concludes: “By giving healthcare professionals access to real-time measurements and predictive analytics, these technologies enable them to make well-informed decisions more quickly and efficiently. Moreover, the non-invasive nature of these instruments might reduce the need for traditional diagnostic methods, saving costs and enhancing patient outcomes.”