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AI models, clinical data infrastructure, imaging, diagnostics and workflow automation across healthcare settings.
This article analyzes the implementation progress of AI healthcare, enterprise strategies, market impact, regulatory challenges, and development trends over the next 3-5 years from the perspective of global medical technology industry media, helping industry readers grasp the pulse of Healthcare Innovation.
This article is based on Salesforce's latest industry insights, analyzing the core applications, industry trends, market impact, and potential challenges of AI in healthcare, and exploring the industrial path of medical AI evolving from an assistive tool to healthcare system infrastructure.
Medical AI has moved from experimentation to clinical practice, but the practical application of diagnosis, treatment, and decision support still faces challenges in data, trust, and integration. This article reviews the current state and future trends.
This article analyzes the application of AI in the healthcare industry from an industrial perspective, focusing on how CRM platforms represented by Salesforce drive digital transformation in healthcare through AI agents, data integration, and patient relationship management, while also exploring development trends over the next 3-5 years.
AI, predictive modeling, and human-relevant data are transforming drug safety assessment, reducing reliance on animal testing, and improving predictive accuracy. This article analyzes technological advances, industry impacts, and future trends.
AI is reshaping the healthcare industry, from diagnostic assistance to patient management, with technology implementation accelerating. This article analyzes key trends, market impacts, and future challenges.
A comprehensive analysis of AI in healthcare adoption statistics for 2025-2026, covering market size, ROI, FDA clearances, and the widening gap between administrative and clinical diagnostic use.
Discuss the impact of AI on employment in the healthcare industry, analyzing which positions are at risk, which are safe, and the new opportunities created by AI.
A recent survey by the ZS Impact Institute shows that 58% of American patients research their symptoms using AI or search engines before seeing a doctor, and 18% have directly used AI tools. The healthcare system is facing pressure from the transformation of patient behavior.
Artificial intelligence is accelerating drug development for central nervous system diseases. Insilico Medicine and SK Biopharmaceuticals announced a collaboration to discover neuroimmune drug candidates using Insilico's Pharma.AI platform, with potential milestone payments of up to $2.5 billion.
Medical AI is moving from single prediction to a new stage of integrating predictive and generative AI. By embedding into clinical workflows and adopting hybrid infrastructure, it helps medical institutions transform data insights into actionable clinical actions, improving patient outcomes and reducing the burden on doctors.
Artificial intelligence is revolutionizing decision-making in the biopharmaceutical industry. From drug discovery to clinical trials, AI not only accelerates processes but also forces companies to rethink how to integrate data, expert judgment, and governance structures. This article provides an in-depth analysis of the industry impact and future direction of this trend.
GE HealthCare will showcase AI software, imaging systems, radiopharmaceuticals, and localized production solutions related to nuclear medicine during SNMMI 2026, reflecting that nuclear medicine is moving from competition among single devices toward a phase of expansion driven by “platformization + ecosystemization.”