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A senior citizen came to anticipate getting Aida's daily call each morning.

A daily check-in call from an AI voice bot wasn't initially included in the care package the participant envisioned when she enrolled for the in-home support but when they asked to participate in the trial several months back, the 79-year-old said yes because she wished to contribute. Although, to be honest, her expectations were low.

Even so, when she got the call, she says: “I was so overtaken by how interactive she was. It was remarkable for a machine.”

“She’d always ask ‘how you are today?’ and that gives you an opportunity if you feel unwell to mention your symptoms, or I might reply ‘I’m fine, thank you’.”

“She would go on to ask questions – ‘have you had a chance to step outside today?’”

The virtual assistant would also ask what the user had planned for the day and “she would respond to that properly.”

“If I would say I’m going shopping, it would ask are you shopping for clothes or groceries? It was quite engaging.”

AI Reducing the Administrative Burden on Healthcare Staff

This pilot, which has recently concluded its initial stage, is an example in which advances in artificial intelligence are being taken up in healthcare.

Health tech firm Healthily approached the care organization regarding the trial to use its advanced AI system to provide companionship, as well as an opportunity for elderly recipients to log any medical concerns or concerns for a staff member to address.

A senior director, head of St Vincent’s At Home, explains the service under evaluation is not a substitute for any in-person visits.

“Clients continue to get a weekly face to face meeting, but in between visits … the [AI] system allows a routine call, which can then escalate any possible issues to care staff or a client’s family,” the director notes.

Dr Tina Campbell, the CEO of the company, reports there have been no any adverse incidents noted from the pilot program.

The company uses advanced AI “with very clear guardrails and prompts” to guarantee the interaction is safe and procedures are in place to respond to serious health issues promptly, Campbell says. As an instance, if a patient is reporting heart symptoms, it would be alerted to the medical staff and the conversation terminated so the person could dial triple zero.

Campbell believes artificial intelligence has an important role amid staffing shortages across the medical industry.

“The benefit securely, using such systems, is lessen the admin burden on the workforce so qualified health professionals can focus on doing the job that they specialize in,” she says.

Artificial Intelligence Long Established as Often Believed

Prof Enrico Coiera, the founder of the Australian Alliance for Artificial Intelligence in Healthcare, says older forms of artificial intelligence have been a common feature of healthcare for a considerable period, often in “back office services” such as analyzing scans, cardiograms and lab reports.

“Software that performs a function that requires judgment in certain aspects is AI, irrespective of how it accomplishes it,” states the professor, who is additionally the director of the health informatics center at Macquarie University.

“When visiting the imaging department, radiology department or pathology lab, you will find programs in equipment doing just that.”

In recent years, advanced versions of artificial intelligence called “deep learning” – a neural network method that allows algorithms to analyze extensive datasets – have been used to read diagnostic scans and improve diagnosis, Coiera notes.

In November, a screening service became Australia’s pioneering population-based screening program to introduce AI analysis tools to support specialists in reviewing a specific set of breast scans.

These represent advanced systems that continue to need a qualified physician to interpret the diagnosis they might suggest, and the responsibility for a clinical judgment sits with the healthcare provider, the professor says.

The Function of AI in Identifying Illness Early

A research center in the city has been working alongside researchers from UCL London who first developed artificial intelligence techniques to detect neurological lesions called specific brain malformations from brain scans.

These abnormalities cause epileptic episodes that crequently cannot be controlled with drugs, meaning surgery to excise the tissue becomes the only treatment available. However, the surgery can proceed if the doctors can locate the affected area.

In research published this week in the scientific publication, a group from the institute, headed by neurologist Emma Macdonald-Laurs, demonstrated their “AI epilepsy detective” could detect the lesions in nearly all of instances from advanced imaging in a subtype of the lesions that have historically been missed in more than half of patients (60%).

The system was trained on the images of a group of individuals and then tested on pediatric cases and adult patients. Among the youngsters, twelve underwent operations and eleven became free of seizures.

This technology uses neural network classifiers comparable with the mammography analysis – flagging suspicious areas, which are subsequently reviewed by specialists “speeding up the process to get to the answers,” Macdonald-Laurs explains.

She emphasises the researchers are currently in initial stages of the project, with a additional research necessary to advance the tool toward real-world use.

A leading neurologist, a brain specialist who was not involved in the study, notes MRI scans now produce such vast quantities of detailed information that it is challenging for a human to go through it thoroughly. Thus for clinicians the difficulty of finding these lesions was like “identifying the needle in the haystack.”

“It’s a great demonstration of how artificial intelligence can assist clinicians in making earlier, precise identifications, and has the potential to enhance operation opportunities and results for kids with treatment-resistant seizures,” Cook says.

Disease Detection in the Years Ahead

A public health expert, the deputy head of the international body's digital health and artificial intelligence section, explains deep neural networks are also helping to monitor and predict disease outbreaks.

The expert, who spoke recently at the Public Health of Australia’s conference in Wollongong, cited Blue Dot, a organization set up by infectious disease specialists and which was one of the first organisations to detect the Covid-19 outbreak.

Generative AI is a additional branch of deep learning, in which the technology can produce original material using training data. Such applications in medicine include 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 president of the Royal Australian College of GPs, says GPs have been embracing AI scribes, which captures the consultation and converts it to a medical summary that can be added to the patient record.

Wright states the primary advantage of the tools is that it improves the standard of the interaction between the physician and individual.

Dr Danielle McMullen, the chair of the Australian Medical Association, agrees that AI note-takers are helping physicians manage schedules and says artificial intelligence can also help to help doctors avoid duplication of tests and imaging for their clients, if the {promised digitisation|planned digitalization