Breaking: Court restrains Labour unions from embarking on strike over subsidy

By kevin 'Jakpor, Editor at DDM

May 17, 2016

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pro-subsidy rally in Bauchi - 17 March 2017

National Industrial Court restrains NLC, labour unions from embarking on national strike pending outcome of case filed by FG.

ABOVE PHOTO: pro-subsidy rally in Bauchi – 17 March 2017

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ArtificiaI Intelligence in Medicine: How Reliable is it for Diagnosis and Treatment?

ArtificiaI Intelligence in Medicine: How Reliable is it for Diagnosis and Treatment?

“Why AI Cannot Diagnose Illnesses” — Dr. Osagie Omokhomion, ICARE Innovations

Can we really trust Artificial Intelligence with a patient’s life?

As AI rapidly transforms the medical field, the big question is no longer whether machines can assist doctors, but how far we should allow AI to influence life-changing medical decisions.

In this insightful and thought-provoking conversation, Dr. Osagie Omokhomion of ICARE Innovations takes a profound look at the prospects, limitations and risks of Artificial Intelligence in healthcare, examining what could happen when technology meets one of the most sensitive areas of human life — medical diagnosis and treatment.

From whether a machine can ever be trusted with a patient’s life, to the dangers of AI being confidently wrong, Dr. Omokhomion addresses some of the most critical questions surrounding the future of AI-powered healthcare.

The discussion explores whether “90% or 95% accuracy” is truly enough, and whether an AI system trained largely on data from Europe, America or Asia can safely make recommendations for Nigerian and African patients, whose genetics, lifestyles, environments and disease patterns may differ significantly.

Dr. Omokhomion also examines emerging technologies such as AI-powered body scanning and BodyScan-style platforms, asking where we should draw the line between a wellness estimate and a genuine clinical diagnosis — and whether inaccurate AI health assessments could trigger unnecessary anxiety, medical tests or self-medication.

The conversation goes even deeper:

🔹 What medical decisions should AI never be allowed to make alone?
🔹 How can we build AI systems that know when they are wrong?
🔹 Who should be held responsible when AI-assisted treatment harms a patient?
🔹 Should Africa begin developing more of its own medical AI datasets?
🔹 Can AI help Nigeria tackle doctor shortages and unequal access to healthcare?
🔹 And ultimately, where should Nigerians draw the line when trusting AI with their health?

This is more than a conversation about technology. It is a conversation about trust, responsibility, human judgment and the future of healthcare. #ai #medical #medicine #health #illness #disease #diagnosis

ArtificiaI Intelligence in Medicine: How Reliable is it for Diagnosis and Treatment?

“Why AI Cannot Diagnose Illnesses” — Dr. Osagie Omokhomion, ICARE Innovations

Can we really trust Artificial Intelligence with a patient’s life?

As AI rapidly transforms the medical field, the big question is no longer whether machines can assist doctors, but how far we should allow AI to influence life-changing medical decisions.

In this insightful and thought-provoking conversation, Dr. Osagie Omokhomion of ICARE Innovations takes a profound look at the prospects, limitations and risks of Artificial Intelligence in healthcare, examining what could happen when technology meets one of the most sensitive areas of human life — medical diagnosis and treatment.

From whether a machine can ever be trusted with a patient’s life, to the dangers of AI being confidently wrong, Dr. Omokhomion addresses some of the most critical questions surrounding the future of AI-powered healthcare.

The discussion explores whether “90% or 95% accuracy” is truly enough, and whether an AI system trained largely on data from Europe, America or Asia can safely make recommendations for Nigerian and African patients, whose genetics, lifestyles, environments and disease patterns may differ significantly.

Dr. Omokhomion also examines emerging technologies such as AI-powered body scanning and BodyScan-style platforms, asking where we should draw the line between a wellness estimate and a genuine clinical diagnosis — and whether inaccurate AI health assessments could trigger unnecessary anxiety, medical tests or self-medication.

The conversation goes even deeper:

🔹 What medical decisions should AI never be allowed to make alone?
🔹 How can we build AI systems that know when they are wrong?
🔹 Who should be held responsible when AI-assisted treatment harms a patient?
🔹 Should Africa begin developing more of its own medical AI datasets?
🔹 Can AI help Nigeria tackle doctor shortages and unequal access to healthcare?
🔹 And ultimately, where should Nigerians draw the line when trusting AI with their health?

This is more than a conversation about technology. It is a conversation about trust, responsibility, human judgment and the future of healthcare. #ai #medical #medicine #health #illness #disease #diagnosis

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Soro anyị gee akụkọ ndị a n’ụzọ dị mfe, doro anya ma na-atọ ụtọ.

🔔 Debanye aha na DDM International News maka akụkọ ọhụrụ.

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