Best of LinkedIn: Health Tech CW 34/ 35

Leaders frame AI as a clinical amplifier that must be designed around real problems, governed with evidence and accountability, and built for trust

Regulatory debates intensify in oncology and beyond, with calls to update medical device rules for agentic AI and strengthen testing strategies for data reliability

Market commentary stresses an end to hype and a shift to pragmatic value, including inclusive AI built on diverse data and a focus on outcomes over platforms

National ecosystem thinking advances, with a secure, interoperable model discussed for broad adoption and European gaps highlighted in trust and infrastructure

New studies and implementations show AI moving into bedside workflows, including accurate prediction of ICU discharge readiness and generalizable brain tumor segmentation models

LLM-enabled clinical workflows demonstrate sustained behavior change in chronic disease management and improved patient communications that can reduce clinician burnout

Imaging, monitoring wearables, and documentation automation continue to mature, complemented by modality-specific advances such as dental CT optimization and ECG-focused AI marketplaces

Prior authorization automation and provider–payer collaboration emerge as near-term wins, with enterprise AI agents highlighted as operational levers

Modernizing EMR and hospital operations platforms remains a priority to unlock efficiency and staff productivity

Product strategy shifts underline the direction of travel, including a pivot to scalable SaaS in medtech and new marketplaces for algorithm deployment

Ecosystem convenings spotlight AI roadmaps and integration topics across health and life sciences, while tech hubs emphasize safety, reliability, and disciplined delivery

Surgical robotics stays in focus, with anticipated growth tied to pending approvals and clinical discussions on device components such as stapling systems

Evidence builds around robotic procedures showing efficiency and safety improvements, while collaborations in cardiac surgery aim to elevate patient outcomes

Human performance and immersion technologies surface, including solutions to reduce motion sickness, alongside broader device trends supporting image guidance and intraoperative assistance

AI accelerates discovery, notably in antibiotics, and supports precision medicine concepts such as digital twins for more targeted care

Bioprocessing gains are reported from autonomous control software in CHO perfusion, pointing to measurable productivity improvements

Commentary urges tighter focus on R&D effectiveness and practical clinical translation across drug discovery, cardiology, and operations

Signals emphasize augmenting rather than replacing clinicians, with AI positioned to reduce cognitive load, ease burnout, and strengthen team performance

Workforce management capabilities are recognized for reliability and experience impact, while the risk of deskilling from overreliance on tools is flagged

Skills-building enters the mainstream, with practical prompting and human-centered design approaches prioritized for day-to-day adoption

Diversity in leadership remains a stated imperative to improve decision quality and outcomes

New alliances and multi-stakeholder collaborations aim to advance cancer research using multimodal and federated approaches

Cross-industry convenings underscore shared priorities in data, interoperability, and clinically grounded AI deployment, alongside targeted collaborations in surgical innovation

Critical infrastructure protection and cyber risk move up the agenda as AI expands in healthcare settings

Blockchain and robust testing strategies are discussed to strengthen data trust, governance, and safe application of AI at scale