62 TWENTYFOURSEVENBIOPHARMA Issue 1 / March 2026 Rising need for early disease detection to drive market Rapid proliferation of AI in healthcare sector The healthcare industry has been a significant beneficiary of the rapid advancement of Al development. Enhanced computing capabilities and declining hardware costs have contributed to the scalability of Al solutions in healthcare settings, particularly in remote healthcare applications. The widespread integration of Al technologies in the healthcare industry has improved efficiency, accessibility, and patient care. This trend is projected to continue as computing power advances and hardware costs decline. A compute-intensive chipset is a critical parameter for processing Al algorithms. Faster chipsets can process the data required to create an Al system more expeditiously. Al chipsets are mainly deployed in data centers and high-end servers, as end computers lack the power and time to handle such massive workloads. NVIDIA Corporation, for example, offers a range of GPUs that provide GPU memory bandwidth based on the application. The improving computing power and declining hardware costs have enabled accessible and efficient edge Al development. NVIDIA Corporation’s Holoscan v0.6, for instance, revolutionized edge Al with multi-GPU and multi-node capabilities, overcoming challenges through a hardware-agnostic approach. The adoption of Al in new applications has been further accelerated by the significant decrease in the cost of Al hardware products over the past year. This has also impacted the cost of Al software & services across regions. The healthcare industry has also been increasingly leveraging Al innovation to deliver improved healthcare services in areas such as remote monitoring, patient care quality improvement, and Source: Association for the Advancement of Artificial Intelligence (AAAI), European Association for Artificial Intelligence (EurAI), Canadian Artificial Intelligence Association (CAIAC), Institute of Electrical and Electronics Engineers (IEEE), Data Science Association, International Association for Artificial Intelligence and Law (IAAIL), Organisation for Economic Co-operation and Development (OECD), Food and Drug Administration (US FDA), National Health Service (NHS), National Institutes of Health (NIH), GLOBOCAN, World Health Organization (WHO), Annual Reports, Company Websites, SEC Filings, Investor Presentations, Journals, Publications, Interviews with Experts, and MarketsandMarkets Analysis ARTIFICIAL INTELLIGENCE
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