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Peta Rolls came to anticipate receiving the AI's regular check-in each morning.

A routine morning call from an AI voice bot was not part of the service the participant envisioned when she signed up for the in-home support however when they asked to participate in the pilot program several months back, the elderly lady agreed because she wanted to help. Although, to be honest, her expectations weren't high.

Nevertheless, when she got the call, she says: “I was so overtaken by how interactive she was. It was impressive for a robot.”

“The system would inquire ‘how are you feeling today?’ and that gives you an opportunity if you’re feeling sick to say you felt sick, or I might reply ‘I’m fine, thank you’.”

“The AI would then pose questions – ‘did you manage to go outdoors today?’”

The virtual assistant would also ask what Rolls was planning for the day and “it would reply appropriately.”

“If I would say I plan to go shopping, she’d say nice shopping or food shopping? I found it entertaining.”

Bots Easing the Workload on Medical Professionals

This pilot, which has now wrapped up its first phase, is an example in which progress in AI technology are being taken up in the medical field.

Digital health company Healthily approached St Vincent’s regarding the program to utilize its generative AI technology to offer companionship, as well as an opportunity for elderly recipients to report any medical concerns or issues for a staff member to follow up.

Dean Jones, national director of the home care division, explains the service being trialled is not a substitute for any in-person visits.

“Clients continue to get a regular personal visit, but in between visits … the [AI] system allows a routine call, which can then escalate any potential concerns to either our team or a family members,” Jones notes.

Dr Tina Campbell, the managing director of Healthily, reports there have been no any negative events reported from the pilot program.

The company employs open AI “with strict safety protocols” to ensure the interaction is secure and procedures are in place to address serious health issues promptly, the director states. As an instance, if a client is reporting chest pains, it would be alerted to the medical staff and the call terminated so the person could call emergency services.

Campbell believes artificial intelligence has an important role amid significant workforce challenges throughout the medical industry.

“What we can do very safely, with technology like this, is lessen the administrative load on the workforce so trained clinicians can concentrate on performing the duties that they’re trained to do,” she comments.

Artificial Intelligence Long Established as You Might Think

Prof Enrico Coiera, the founder of the national AI health alliance, explains older forms of artificial intelligence have been a common feature of medicine for a long time, frequently in “back office services” such as analyzing medical images, ECGs and lab reports.

“Any computer program that carries out a task that requires judgment in certain aspects is artificial intelligence, regardless of how it achieves that,” says the professor, who is also the director of the health informatics center at a leading university.

“When visiting the radiology unit, radiology department or diagnostic laboratory, you will find software in machines doing just that.”

Over the past decade, newer forms of AI known as “machine learning” – an algorithmic approach that enables algorithms to learn from very large sets of data – have been employed to interpret diagnostic scans and enhance detection, Coiera says.

Recently, a screening service became Australia’s first population-based screening program to introduce machine reading technology to assist radiologists in reviewing a specific set of mammography images.

They are advanced systems that continue to need a qualified physician to interpret the diagnosis they could indicate, and the accountability for a clinical judgment rests with the medical practitioner, Coiera says.

The Function of AI in Identifying Illness Early

The Murdoch Children’s Research Institute in the city has been working alongside scientists from a UK university who pioneered AI methods to detect epilepsy brain abnormalities called focal cortical dysplasias from brain scans.

These lesions trigger seizures that often cannot be controlled with medication, meaning surgery to excise the tissue becomes the sole option. But, the surgery can only be performed if the surgeons can pinpoint the abnormal tissue.

In research recently released in the journal Epilepsia, a team from the research body, led by neurologist the lead researcher, showed their “neural network tool” could detect the abnormalities in nearly all of cases from advanced imaging in a subtype of the lesions that have historically been missed in the majority of cases (sixty percent).

The AI was trained on the scans of a group of individuals and then tested on 17 children and 12 adults. Of the 17 children, 12 had surgery and 11 are now seizure free.

The tool employs AI algorithms comparable with the breast cancer screening – highlighting suspicious areas, which are still checked by experts “but it makes it a lot quicker to get to the answers,” the researcher says.

She emphasises the team are currently in initial stages of the project, with a additional research required to get the technology heading towards real-world use.

A leading neurologist, a neurologist who was not involved in the study, says MRI scans now produce such vast quantities of high-resolution data that it is challenging for a human to go through it accurately. So for doctors the difficulty of finding these abnormalities was like “identifying the needle in the haystack.”

“It’s a great demonstration of how artificial intelligence can support doctors in making quicker, precise identifications, and has the potential to improve operation opportunities and outcomes for kids with otherwise intractable epilepsy,” the professor comments.

Illness Identification in the Years Ahead

Dr Stefan Buttigieg, the vice-president of the European Public Health Association’s AI health division, says deep neural networks are also helping to monitor and predict disease outbreaks.

The expert, who presented recently at the Public Health of Australia’s conference in the city, cited a tech firm, a organization set up by infectious disease specialists and which was an early detector to detect the Covid-19 outbreak.

Content-creating AI is a further subset of deep learning, in which the system can produce original material using existing information. These uses in healthcare encompass tools such as Healthily’s AI voice bot as well as the AI scribes doctors and allied health professionals are adopting more.

A GP representative, the head of the Royal Australian College of GPs, reports GPs have been adopting AI scribes, which captures the appointment and turns into a medical summary that can be included in the patient record.

The president states the primary advantage of the tools is that it enhances the standard of the interaction between the physician and individual.

Dr Danielle McMullen, the president of the Australian Medical Association, concurs that AI note-takers are assisting physicians manage schedules and adds artificial intelligence also has the potential to help doctors avoid duplication of tests and imaging for their clients, if the {promised digitisation|planned digitalization