How AI is Transforming Medical Diagnostics
Featuring: Dr. Liam Grant, Chief Medical Technology Officer, Dr.Visor
Published by: Dr.Visor Insights
Interviewer: Dr. Grant, artificial intelligence has become one of the most transformative forces in healthcare. How is AI changing the landscape of diagnostics today?
Dr. Liam Grant:
AI has already shifted the paradigm from “reactive medicine” to “predictive precision”. In diagnostic imaging alone, AI algorithms are capable of analysing 1,000+ CT or MRI images per second, identifying subtle anomalies that might be invisible to the human eye.
For instance, an AI system developed by DeepMind Health achieved 99% accuracy in detecting breast cancer from mammograms, surpassing the average radiologist accuracy of 88%. Similarly, AI assisted cardiac diagnostics can detect early signs of arrhythmia or heart failure up to 9 months before physical symptoms appear.
At Dr.Visor, we collaborate with partner hospitals using platforms like Siemens Healthineers’ AI Rad Companion and GE Healthcare’s Edison AI, which help clinicians process vast amounts of imaging data quickly. These tools are cutting diagnostic times by 25–40%, especially in oncology and neurology.
Interviewer: That’s a dramatic improvement in both speed and accuracy. How are patients reacting to AI being part of their medical decision process?
Dr. Liam Grant:
Patient behaviour has evolved significantly. Our internal research and NHS Digital data indicate that 71% of UK patientsnow trust AI-assisted diagnostics provided results are verified by a qualified doctor.
Patients are no longer sceptical about machines; they’re sceptical about uncertainty. Transparency is key. When patients know AI is being used to support not replace their doctor, confidence rises.
For example, in our partner clinic in Istanbul, integrating AI in radiology improved patient satisfaction scores by 18% and reduced second-opinion requests by 22%. Patients felt that the process was faster, more consistent, and less prone to human error.
Interviewer: You mentioned oncology and cardiology are there other fields where AI is making a noticeable difference?
Dr. Liam Grant:
Absolutely. AI is now deeply embedded in pathology, ophthalmology, and dermatology. In eye health, AI systems like IDx-DR are FDA-approved to detect diabetic retinopathy with 87% sensitivity and 90% specificity.
In dermatology, image recognition tools trained on millions of skin lesion photos can classify melanomas with accuracy rates of up to 95%, outperforming many general practitioners. These technologies are especially valuable in regions with limited access to specialists making expert-level diagnostics scalable and affordable.
At Dr.Visor, we prioritise connecting patients to clinics that adopt such technologies responsibly. Our mission isn’t to automate healthcare but to ensure that innovation translates into better outcomes and accessibility for all.
Interviewer: With rapid adoption comes ethical and operational challenges. How is Dr.Visor addressing these?
Dr. Liam Grant:
Data governance is a major focus. We ensure all partner clinics comply with GDPR and MHRA standards, meaning patient data is encrypted, anonymised, and used ethically. We also work with AI developers who publish transparent model data, reducing algorithmic bias an issue particularly prevalent in dermatological datasets.
Operationally, integration remains a challenge. Many healthcare systems still rely on fragmented IT infrastructures. Dr.Visor’s consultancy team helps hospitals integrate AI into existing systems without disrupting clinical workflows.
We’ve learned that successful AI adoption isn’t about the algorithm itself it’s about the ecosystem it operates in.
Interviewer: Where do you see AI diagnostics heading in the next decade?
Dr. Liam Grant:
We’re moving toward a future where AI acts as a triage partner not a replacement for clinicians. Predictive analytics will identify high-risk patients even before symptoms appear. Studies suggest that widespread AI adoption could reduce late stage disease diagnoses by up to 25% globally and cut misdiagnosis rates by nearly 40%.
Within Dr.Visor’s network, we’re already piloting AI assisted triage tools for neurology and oncology, enabling doctors to prioritise high-risk cases faster. We also plan to integrate AI-driven second opinion platforms, where machine learning supports clinicians with global diagnostic insights.
The future of diagnostics will be defined by speed, precision, and inclusivity where a patient in London, Dubai, or Istanbul can access the same diagnostic intelligence within seconds.
Our responsibility is to ensure that such innovation remains human centred. Technology should empower both patients and doctors, not distance them.
🔗 Learn more at: www.drvisor.com
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