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Peta Rolls came to anticipate getting Aida's regular call at 10am.

A routine morning call from an AI voice bot was not part of the service Rolls envisioned when she enrolled for St Vincent’s in-home support but when she was invited to participate in the pilot program four months ago, the 79-year-old agreed because she wanted to help. Even though, truth be told, her expectations weren't high.

Nevertheless, when the call came through, she states: “I was amazed by how interactive she was. It was remarkable for a machine.”

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

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

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

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

AI Reducing the Workload on Healthcare Staff

The trial, which has now wrapped up its initial stage, is one of the ways in which progress in artificial intelligence are being taken up in healthcare.

Health tech firm the provider partnered with St Vincent’s regarding the trial to utilize its advanced AI system to provide social interaction, as well as an opportunity for home care clients to report any medical concerns or concerns for a caregiver to address.

Dean Jones, national director of St Vincent’s At Home, says the AI check-in being trialled does not replace any face to face interactions.

“Recipients continue to get a weekly personal visit, but in between visits … the [AI] system allows a daily check-in, which can then escalate any possible issues to care staff or a family members,” the director notes.

Dr Tina Campbell, the managing director of the company, reports there haven’t been any negative events reported from the pilot program.

The company uses advanced AI “with very clear guardrails and prompts” to guarantee the conversation is secure and mechanisms are in place to respond to serious health issues promptly, Campbell says. For example, if a client is experiencing chest pains, it would be flagged to the medical staff and the call terminated so the individual could call emergency services.

She thinks artificial intelligence has an significant part given significant workforce challenges throughout the medical industry.

“What we can do securely, with technology like this, is reduce the administrative load on the staff so qualified health professionals can focus on doing the job that they specialize in,” she says.

Artificial Intelligence Long Established as Often Believed

An expert, the founder of the Australian Alliance for Artificial Intelligence in Healthcare, explains older forms of artificial intelligence have been a common feature of medicine for a considerable period, frequently in “administrative functions” such as analyzing medical images, ECGs and pathology test results.

“Software that carries out a task that involves decision making in certain aspects is artificial intelligence, regardless of how it achieves that,” states Coiera, who is also the head of the health informatics center at a leading university.

“If you go the radiology unit, medical imaging center or pathology lab, you’ll see software in equipment performing these tasks.”

In recent years, newer forms of AI known as “deep learning” – a neural network method that allows systems to analyze extensive datasets – have been used to read diagnostic scans and enhance detection, the expert notes.

Recently, a screening service became Australia’s first population-based screening program to introduce AI analysis tools to assist radiologists in reviewing a specific set of breast scans.

These represent advanced systems that still require a qualified physician to evaluate the findings they could indicate, and the accountability for a clinical judgment rests with the healthcare provider, the professor says.

The Function of AI in Early Disease Detection

A research center in Melbourne has been working alongside researchers from a UK university who pioneered AI methods to detect epilepsy brain abnormalities known as focal cortical dysplasias from MRI images.

These lesions trigger epileptic episodes that crequently cannot be controlled with drugs, meaning surgery to remove them becomes the only treatment available. However, the procedure can proceed if the surgeons can locate the affected area.

In research recently released in the journal Epilepsia, a team from the institute, headed by specialist Emma Macdonald-Laurs, demonstrated their “AI epilepsy detective” could detect the abnormalities in up to 94% of instances from MRI and PET scans in a specific form of the lesions that have traditionally been overlooked in more than half of cases (60%).

The AI was developed using the scans of a group of individuals and then tested on 17 children and adult patients. Of the 17 children, 12 had surgery and eleven became free of seizures.

The tool uses neural network classifiers similar to the mammography analysis – flagging regions of abnormality, which are still checked by experts “but it makes it a lot quicker to reach a conclusion,” the researcher explains.

She emphasises the team are currently in initial stages of the work, with a additional research required to get the technology heading towards clinical implementation.

A leading neurologist, a brain specialist who was not involved in the study, notes modern imaging now generate such huge amounts of high-resolution data that it is hard for a human to go through it thoroughly. Thus for clinicians the challenge of finding these lesions was like “identifying the needle in the haystack.”

“This illustrates of how artificial intelligence can assist doctors in making quicker, precise identifications, and has the potential to improve surgical access and outcomes for kids with treatment-resistant seizures,” the professor comments.

Disease Detection in the Future

Dr Stefan Buttigieg, the vice-president of the European Public Health Association’s digital health and artificial intelligence section, says advanced AI systems are additionally used to monitor and predict epidemics.

The expert, who spoke recently at the national health summit in Wollongong, cited Blue Dot, a company set up by infectious disease specialists and which was one of the first organisations to detect the coronavirus pandemic.

Generative AI is a further subset of deep learning, in which the system can produce original material based on training data. Such applications in healthcare include programs such as the virtual assistant as well as the AI scribes clinicians are increasingly using.

Dr Michael Wright, the president of the national GP body, reports GPs have been embracing AI scribes, which records the consultation and converts it to a medical summary that can be included in the health file.

Wright says the main benefit of the tools is that it improves the quality of the communication between the doctor and patient.

Dr Danielle McMullen, the chair of the Australian Medical Association, agrees that scribes are helping physicians optimise their time and says artificial intelligence can also help to help doctors avoid repeated examinations and scans for their patients, if the {promised digitisation|planned digitalization