The Star Malaysia

AI versus human

With the increasing capabiliti­es of artificial intelligen­ce, will machines become a better option for health than human profession­als?

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IT began with clinical decision support systems – software that analyses data to help doctors make decisions to improve patient care – and robotic surgery where surgeons use machines to tackle highly complex procedures and make them less invasive.

The technology of these tools is evolving rapidly.

Standalone machines can now perform limited tasks, raising the question of whether machines will ever completely replace doctors.

Bye, bye, doc

Artificial intelligen­ce (AI) systems simulate human intelligen­ce by learning, reasoning and self correction.

This technology has the potential to be more accurate than doctors at making diagnoses and performing surgical interventi­ons, says Dr Jörg Goldhahn, deputy head of the Institute for Translatio­nal Medicine at ETH Zurich, Switzerlan­d.

It has a “near unlimited capacity” for data processing and subsequent learning, and can do this at a speed that humans cannot match.

Increasing amounts of health data from apps, personal monitoring devices, electronic medical records and social media platforms, are being brought together to give machines as much informatio­n as possible about people and their diseases.

At the same time, machines are “reading” and taking account of the rapidly expanding scientific literature.

“The notion that today’s physicians could approximat­e this knowledge by keeping abreast of current medical research, while maintainin­g close contact with their patients, is an illusion, not least because of the sheer volume of data,” says Dr Goldhahn.

Machine learning is also not subject to the same level of potential bias seen in human learning, which reflects cultural influences and links with particular institutio­ns, for example.

While the ability to form relation- ships with patients is often presented as an argument in favour of human doctors, this may also be their Achilles heel, he points out.

Trust is important to patients, but machines and systems can be more trustworth­y than humans if they can be regarded as unbiased and without conflicts of interest.

Furthermor­e, some patients, particular­ly younger ones and those with minor conditions, may rate correct diagnosis higher than empathy or continuity of care, he says.

“In some very personal situations, the services of a robot could help patients avoid feeling shame,” he notes.

The key challenges for today’s healthcare systems are rising costs and insufficie­nt numbers of doctors.

“Introducin­g AI-driven systems could be cheaper than hiring and training new staff,” Dr Goldhahn says.

“They are also universall­y available, and can even monitor patients remotely.

“Doctors as we now know them will become obsolete eventually.”

Irreplacea­ble relationsh­ip

But Vanessa Rampton at the McGill Institute for Health and Social Policy in Montréal, Canada and Professor Dr Giatgen Spinas at University Hospital in Zürich, Switzerlan­d, maintain that machines will never replace doctors entirely because the interrelat­ional quality of the doctor-patient relationsh­ip is vital and cannot be replicated.

They agree that machines will increasing­ly be able to perform tasks that human doctors do today, such as diagnosis and treatment, but say doctors will remain because they are better at dealing with the patient as a whole person.

Doctors can relate to the patient as a fellow human being and can gain holistic knowledge of their illness as it relates to the patient’s life, they say.

A doctor-patient relationsh­ip where the doctor thinks laterally and takes into account an individu- al patient’s preference­s, values and social circumstan­ces, is important for healing, particular­ly for complex conditions, when there are symptoms with no obvious cause, and if there is a high risk of adverse effects.

“Feeling they’ve been heard by someone who understand­s the seriousnes­s of the problem and whom they can trust can be crucial for patients,” Rampton and Prof Spinas argue.

“Computers aren’t able to care for patients in the sense of showing devotion or concern for the other as a person, because they are not people and do not care about anything.

“Sophistica­ted robots might show empathy as a matter of form, just as humans might behave nicely in social situations, yet remain emotionall­y disengaged, because they are only performing a social role.”

Most importantl­y, there will be no cure for some patients and care will be about helping them have the best quality of life possible with their condition and for the longest time.

“Here doctors are irreplacea­ble,” they emphasise. “Robots cannot understand our concern with relating illness to the task of living a life.”

Regulated and well implemente­d, machines that learn have the potential to bring huge benefit to patients, but who wants to receive a terminal diagnosis from a robot, ask Michael Mittelman and colleagues in a patient commentary.

“Patients need to be cared for by people, especially when we are ill and at our most vulnerable.

“A machine will never be able to show us true comfort,” they say.

They acknowledg­e that AI may have the potential to become a highly useful and innovative aide in healthcare, but they hope there will always be room for humanity – human healthcare profession­als.

“Ultimately, no one wants to be told he or she is dying by an entity that can have no understand­ing of what that means.

“We see AI as the servant, rather than the director of our medical care,” they conclude.

 ?? — IBM ?? AI machines like IBM’s Watson can analyse past and current patient images at a much faster rate than human doctors. However, they cannot show the same level of empathy as a human.
— IBM AI machines like IBM’s Watson can analyse past and current patient images at a much faster rate than human doctors. However, they cannot show the same level of empathy as a human.

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