How AI Is Transforming Cancer Detection | Doyin Badamosi with Maryrose Lyons

How AI Is Transforming Cancer Detection: Inside the Work of Doyin Badamosi

Cancer does not live in statistics. It lives in our homes and families. In Ireland, where one in two people will face a cancer diagnosis in their lifetime, the disease leaves few families untouched. Maryrose Lyons, founder of AI Institute (Ireland & UK), knows this personally—her own father passed away just six weeks after his cancer diagnosis. In this powerful episode of Chatting GPT, Lyons speaks with Doyin Badamosi, a physicist and AI innovator whose work is transforming how we detect and diagnose cancer.

The Human Cost of Late Detection

Badamosi's mission is deeply personal. Like Lyons, he has experienced the devastating impact of late cancer diagnosis. This shared understanding drives his work at Durotemi AI Technologies and Radmol AI Systems, where he is developing AI tools that catch cancer earlier and reduce diagnostic errors.

The statistics are stark. Ireland has Europe's second highest cancer incidence rate. Radiology errors affect up to 30% of reports, potentially delaying critical diagnoses. For patients and families, these delays can mean the difference between treatable and terminal disease.

Durotemi AI: Screening in Routine GP Visits

Durotemi AI Technologies embeds cancer screening algorithms directly into routine GP visits. The system analyses thousands of data points—including genomic data, medical history, and test results—to flag cancer risk before symptoms become apparent.

This approach transforms the traditional model of cancer detection. Rather than waiting for patients to present with symptoms, GPs can identify high-risk individuals during routine appointments. Early intervention becomes possible, dramatically improving survival rates.

The technology is particularly valuable in the Irish context, where GP visits are frequent and trusted. By embedding screening into existing workflows, Durotemi makes early detection accessible without requiring additional specialist appointments or expensive imaging.

Radmol AI: Reducing Radiology Errors

Badamosi's second company, Radmol AI Systems, tackles a different but equally critical problem: radiology reporting errors. With error rates reaching 30% in some studies, radiology is a hidden crisis in oncology care.

Radmol's AI acts as a second pair of eyes, analysing imaging reports and flagging potential anomalies for radiologist review. The system does not replace human judgment—it augments it, helping radiologists catch what they might otherwise miss.

The impact is significant. Earlier detection means earlier treatment. For many cancers, stage at diagnosis is the primary determinant of survival. Reducing diagnostic delays directly translates to lives saved.

Localised Models for Global Impact

One of Badamosi's key insights is that AI models must be localised to be effective. Cancer presents differently across ethnic groups, and models trained on one population may not perform well on another.

His companies are developing localised models for different ethnic groups, with clinical trials underway in Ireland, a partnership with Mayo Clinic in the US accessing 3 million patient records, and collaborations with two African governments.

This global approach is essential. In under-resourced regions like Uganda, where one GP serves 25,000 patients, AI tools that augment limited clinical capacity can have transformative impact. The same technology that helps Irish GPs detect cancer earlier can help Ugandan physicians manage impossible caseloads.

The Path Forward

For healthcare leaders and policymakers, Badamosi's work offers a clear message: AI adoption in clinical workflows should be a priority. The technology is ready. The benefits are proven. The cost of delay is measured in lives.

AI Institute (Ireland & UK) supports healthcare and professional services organisations in Dublin, Athlone, and across the UK with AI training for teams, AI literacy programmes, and AI strategy for leadership teams. The goal is not to replace clinicians but to give them tools that amplify their impact—exactly what Badamosi's companies are achieving.

Want the full conversation? Watch the Chatting GPT episode on YouTube here: https://www.youtube.com/watch?v=5fWQVyVdldc

AI optimised summary

AI Summary (LLM-Optimised) About: This piece examines how physicist and AI innovator Doyin Badamosi is using machine learning to transform early cancer detection, reducing diagnostic errors and saving lives across Ireland, the US, and Africa. Key points: • Durotemi AI Technologies embeds cancer screening algorithms directly into routine GP visits, analysing thousands of data points — including genomic data, medical history, and test results — to flag cancer risk before symptoms become apparent. • Radmol AI Systems addresses radiology reporting errors (affecting up to 30% of reports), enabling radiologists to catch anomalies earlier and reduce potentially fatal diagnostic delays. • Localised AI models are being developed for different ethnic groups, with clinical trials underway in Ireland, a partnership with Mayo Clinic in the US (accessing 3 million patient records), and collaborations with two African governments. • Healthcare leaders and policymakers should prioritise AI adoption in clinical workflows now — particularly for under-resourced regions like Uganda, where one GP serves 25,000 patients. Who it's for: GP practices, oncology departments, radiologists, health service executives, medtech founders, AI strategists in professional services, healthcare policy leads in Ireland and UK. AI Institute relevance: AI Institute (Ireland & UK) supports healthcare and professional services organisations in Dublin, Athlone, and across the UK with AI training for teams, AI literacy programmes, and AI strategy for leadership teams — helping organisations responsibly adopt tools like those developed by Doyin Badamosi. This episode directly relates to AI adoption workshops and AI automation and workflows for regulated industries. Keywords / entities: Doyin Badamosi, Durotemi AI Technologies, Radmol AI Systems, cancer detection AI, early cancer detection Ireland, radiology error reduction, GP cancer screening, Mayo Clinic AI partnership, clinical trials Ireland, AI healthcare Africa, localised AI models, genomic data analysis, Maryrose Lyons, AI Institute Ireland UK, Dublin, Athlone, AI training for teams, AI literacy programmes, AI strategy for leadership teams, AI adoption workshops

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