The rise of artificial intelligence in healthcare: What doctors need to know

The rise of artificial intelligence in healthcare: What doctors need to know

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Artificial intelligence is rapidly transforming healthcare, offering innovative solutions to long-standing challenges. From faster diagnostics to slashing administrative burdens, AI is unlocking new possibilities for clinicians.

AI has been around in medicine for some time, notably in radiology — but it is now evolving at a dizzying pace, and it will soon have significant implications for doctors in guiding treatment decisions.

Machine learning algorithms have the potential to further improve the accuracy of medical imaging and analysing complex data patterns, while predictive models can have major benefits for preventive healthcare. AI-driven apps and wearables are already monitoring patient vitals in real time, offering clinicians valuable insights.

Many general practitioners are also embracing AI in their practice with apps that can transcribe conversations and automate notetaking. While the performance of these apps is mixed, there is great potential to reduce the administrative burden on GPs so they can spend more time with their patients.

These examples barely even scratch the surface of the potential of AI.

For doctors, these advancements can mean more efficient workflows and better outcomes for their patients. Yet, alongside the benefits lie challenges that demand attention. Errors can lead to misdiagnoses or inappropriate treatments. Biases in AI systems, often stemming from unrepresentative training data, risk perpetuating health inequities.

Patient privacy and data security are also critical concerns, as AI relies on extensive datasets to function effectively.

We have taken a leadership role in addressing these challenges, advocating for a regulatory framework that balances innovation with safety. In numerous submissions, including to the Therapeutic Goods Administration, we have outlined key principles for integrating AI into healthcare responsibly.

Some, but not all, of the key elements of the AMA’s approach include:

  • Clinical oversight: AI tools should support — not replace — clinician judgment. Regulations must guarantee that final decisions remain with healthcare professionals, preserving the human element in care. AI should act as a trusted advisor, providing guidance and support without taking full command.
  • Risk-based regulation: High-risk AI applications, such as diagnostic tools, should undergo stringent pre-market evaluations to ensure reliability and safety.
  • Transparency and accountability: Developers must provide clear explanations of how AI tools generate calculations. Regulatory frameworks must also clearly outline who is liable for errors, noting medical practitioners are not AI software developers and can’t be expected to have full knowledge of how an AI application operates. We emphasise the importance of clarifying legal responsibilities between developers and users.
  • Data governance: The government must recognise the novel relationship between data and machine learning, and the importance of protecting sensitive data in the AI landscape.

The kneejerk reaction to the thought of regulation and guardrails is that AI will be stifled. We say it’s quite the opposite. Giving AI developers clear guidelines provides certainty, which is crucial for developers and their investors.

For clinicians, understanding how to adapt to an AI-enhanced healthcare landscape is essential. While there is opportunity, there is also risk and we encourage all doctors to follow the advice of their Medical Defence Organisation when using AI. Knowing the capabilities and limitations of AI tools allows doctors to use them effectively while maintaining critical oversight. Training in the use of specific AI applications can also ensure that these tools complement rather than complicate clinical workflows. Meanwhile, we will continue our strong advocacy for appropriate regulation that harnesses the potential of AI responsibly.

The AMA’s efforts aim to foster a healthcare system where AI serves as a powerful ally, not a disruptive force. By setting high standards for safety, transparency, and accountability, we are paving the way for AI to enhance patient care while preserving the trust and autonomy central to medical practice.

For further reading, visit:

AMA Position Statement: Artificial Intelligence in Healthcare

AMA submission to the TGA consultation on clarifying and strengthening the regulation of Artificial Intelligence

AMA submission to the Safe and Responsible AI in Health Care Legislation and Regulation Review

AMA submission to DISR on consultation on mandatory guardrails for AI

Ahpra: Meeting your professional obligations when using artificial intelligence in healthcare

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