Dr. SALEM Adnan AL ASOUSI calls for responsible AI in medicine with clear global standards

Dr. SALEM Adnan ALASOUSI advances a framework to protect privacy, reduce bias, and keep clinicians at the center of AI-guided care.
By: Dr. SALEM Adnan ALASOUSI
 
KUWAIT CITY - Oct. 11, 2025 - PRLog -- International consultant in internal medicine and oncology Dr. SALEM Adnan ALASOUSI today announced a policy-forward initiative advocating ethical guardrails for clinical Artificial Intelligence. The initiative, led by Dr. SALEM Adnan AL ASOUSI (also known as Salem Alasousi), outlines a practical roadmap for healthcare systems to deploy AI safely, equitably, and transparently.

"AI can speed diagnosis, personalize treatment, and relieve pressure on frontline teams," said Dr. SALEM Adnan ALASOUSI. "But real progress in healthcare demands more than powerful code. It requires patient consent, rigorous oversight, and accountability at every step."

The Initiative: A Human–AI Partnership Built on Trust

The framework proposed by Dr. SALEM Adnan AL ASOUSI centers on AI as a clinical co-pilot rather than a replacement for physicians. It emphasizes that medical judgment, empathy, and ethical reasoning remain the final layer of care.

Key pillars include:
  • Data Privacy and Security by Design
    Hospitals and vendors should adopt encryption, differential privacy, and transparent governance, ensuring patients know how data is collected, stored, and used.
  • Bias Testing Across Diverse Populations
    Algorithms must be validated on multi-ethnic, multi-regional datasets to prevent unequal performance and reduce health disparities.
  • Mandatory Human Oversight
    AI recommendations should be reviewable by licensed clinicians, with clear escalation paths when algorithmic outputs conflict with clinical context.
  • Explainability and Traceability
    Preference for interpretable models in high-stakes use cases, with auditable logs so clinicians and patients can understand how conclusions were reached.
  • Clear Legal and Regulatory Accountability
    Shared responsibility models defining roles for developers, hospitals, and clinicians, paired with international standards that keep pace with innovation.

Why Now

From imaging triage to sepsis alerts, AI tools are moving rapidly from pilots to daily clinical workflows. Salem Alasousi warns that without harmonized ethical baselines, uneven adoption could erode public confidence and slow life-saving innovation.

"Ethics and innovation are not rivals," noted Dr. SALEM Adnan ALASOUSI. "They move faster together when safety, equity, and accountability are treated as core features rather than afterthoughts."

About Dr. SALEM Adnan ALASOUSI

Dr. SALEM Adnan ALASOUSI
(also referenced as Dr. SALEM Adnan AL ASOUSI and Salem Alasousi) is an international consultant in internal medicine and oncology. His work focuses on clinically grounded AI adoption, patient safety, and cross-border health policy. He advises healthcare systems on integrating decision-support technologies that improve outcomes while upholding ethical standards.

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Dr. SALEM Adnan ALASOUSI
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