The Questions To be Asked

• How do we ensure AI in diagnostics and treatment is explainable and compliant by 2030?
  As AI advances in clinical decision-making, transparency and traceability become crucial for EU AI Act compliance. Hospitals must adopt explainable models, human-in-the-loop validation, and auditable workflows to maintain patient safety and trust.

• Who owns biological intelligence — the patient, the researcher, or the platform?
  The rise of AI-driven bioinformatics poses a challenge to traditional data ownership. Ethical frameworks must evolve to balance intellectual property, informed consent, and patients’ rights over genomic and epigenetic data.

• How do we protect patient dignity and consent under GDPR and the EU AI Act’s high-risk classifications?
  Medical AI systems are classified as “high-risk” under the EU AI Act. Ensuring lawful data use requires explicit consent, privacy-by-design infrastructure, and interoperable audit trails for clinical AI.

• What frameworks align AI with public trust, fairness, and human rights?
  Global health AI must adhere to frameworks such as UNESCO’s AI Ethics, OECD AI Principles, and ETHORITY’s TrustAI model — embedding fairness, accountability, and explainability in every algorithmic layer.

Facts & Latest Research (2025–2030 Horizon)

• Global AI in healthcare market projected to reach USD 36.7 B in 2025, expanding at ~38.6% CAGR through 2030
  Grand View Research
  AI’s rapid expansion in diagnostics, drug discovery, and hospital operations is driven by breakthroughs in computer vision, NLP, and federated learning, with the market expected to exceed USD 100 B by 2030.

• By 2025, AI decision-support tools become mainstream in hospitals, offering real-time evidence-based guidance
  Boston Consulting Group (BCG)
  BCG projects that clinical decision-support AI will be widely integrated into hospital systems, improving accuracy and efficiency through predictive diagnostics and treatment optimization.

• Generative AI in healthcare valued at USD 2.79 B in 2025, forecast to grow to nearly USD 40 B by 2034
  Research Nester
  The next decade will see generative AI drive personalized medicine, drug discovery, and clinical documentation automation, reshaping the entire medical R&D pipeline.

• MIT’s 2025 model reduces annotation effort in clinical imaging by 70%, accelerating trial workflows
  MIT News
  MIT researchers developed a self-supervised AI model that minimizes manual data labeling in medical imaging, significantly speeding up clinical trials and diagnostic pipeline validation.

• Stanford warns of bias and reliability risks in AI mental health chatbots
  Stanford News
  Stanford’s 2025 study cautions that unregulated AI chatbots may introduce bias, misinformation, and dependency risks, underscoring the need for ethical design and clinical oversight in digital mental health tools.

• AI in primary healthcare shows high potential — but governance and interoperability remain unsolved
  BMC Primary Care
  A 2024 BMC study concludes that while AI can improve efficiency and accessibility in primary care, the lack of standardized governance and interoperability frameworks limits scalability and trust.