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A senior citizen grew accustomed to receiving the AI's daily call at 10am.

A routine morning call from an AI voice bot was not part of the care package the participant expected 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 said yes because she wished to contribute. Although, to be honest, her hopes weren't high.

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

“The system would inquire ‘how you are today?’ and that provides a chance if you feel unwell to mention your symptoms, or I just say ‘I'm well, thanks’.”

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

Aida would also ask what Rolls had planned for the day and “she would respond to that properly.”

“When I mentioned I’m going shopping, it would ask nice shopping or food shopping? I found it entertaining.”

Bots Easing the Workload on Healthcare Professionals

This pilot, which has now wrapped up its first phase, is one of the ways in which progress in artificial intelligence are being taken up in healthcare.

Digital health company the provider partnered with the care organization about the program to use its generative AI technology to provide companionship, as well as an opportunity for elderly recipients to report any health issues or issues for a staff member to follow up.

Dean Jones, national director of the home care division, says the service under evaluation does not replace any in-person visits.

“Recipients continue to get a regular face to face meeting, but between these meetings … the automated system enables a routine call, which can then escalate any possible issues to care staff or a family members,” the director notes.

The managing director, the managing director of the company, reports there haven’t been any negative events noted from the St Vincent’s trial.

Healthily employs open AI “with very clear guardrails and prompts” to guarantee the conversation is secure and procedures are in place to respond to critical medical problems promptly, the director says. As an instance, if a client is reporting heart symptoms, it would be flagged to the medical staff and the conversation ended so the individual could dial triple zero.

Campbell believes AI has an important role given staffing shortages across the medical industry.

“The benefit very safely, using such systems, is lessen the admin burden on the staff so qualified health professionals can focus on doing the job that they’re trained to do,” she comments.

AI Not as New as You Might Think

An expert, the founder of the Australian Alliance for Artificial Intelligence in Healthcare, says older forms of AI have been a standard part of medicine for a long time, frequently in “back office services” such as analyzing scans, cardiograms and lab reports.

“Any computer program that carries out a task that requires judgment in certain aspects is AI, regardless of how it accomplishes it,” states the professor, who is additionally the director of the Centre for Health Informatics at Macquarie University.

“If you go the imaging department, radiology department or diagnostic laboratory, you will find programs in equipment doing just that.”

In recent years, advanced versions of artificial intelligence known as “deep learning” – a neural network method that enables algorithms to learn from extensive datasets – have been employed to interpret diagnostic scans and improve diagnosis, the expert says.

In November, a screening service became the nation's first population-based screening program to adopt AI analysis tools to support specialists in reviewing a specific set of breast scans.

They are advanced systems that continue to need a specialist doctor to interpret the findings they might suggest, and the responsibility for a medical decision rests with the medical practitioner, the professor emphasizes.

AI’s Role in Early Disease Detection

A research center in Melbourne has been collaborating with researchers from UCL London who first developed artificial intelligence techniques to identify epilepsy brain abnormalities known as focal cortical dysplasias from brain scans.

These lesions cause seizures that often cannot be controlled with medication, so surgical intervention to excise the tissue becomes the sole option. But, the procedure can only be performed if the doctors can pinpoint the affected area.

In research recently released in the scientific publication, a group from the institute, led by neurologist Emma Macdonald-Laurs, demonstrated their “AI epilepsy detective” could identify the lesions in up to 94% of instances from advanced imaging in a subtype of the lesions that have historically been missed in the majority of patients (60%).

The system was developed using the scans of a group of individuals and then evaluated with 17 children and 12 adults. Among the youngsters, twelve underwent operations and 11 are now seizure free.

The tool uses AI algorithms comparable with the breast cancer screening – highlighting regions of abnormality, which are still checked by experts “but it makes it a lot quicker to reach a conclusion,” Macdonald-Laurs says.

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

Prof Mark Cook, a brain specialist who was not involved in the research, notes MRI scans now produce such vast quantities of detailed information that it is challenging for a person to review it thoroughly. So for doctors the difficulty of locating these abnormalities was like “searching for a needle in a haystack.”

“This illustrates of how artificial intelligence can support clinicians in making earlier, more accurate diagnoses, and has the potential to improve operation opportunities and outcomes for kids with otherwise intractable epilepsy,” Cook comments.

Disease Detection in the Future

Dr Stefan Buttigieg, the deputy head of the international body's digital health and artificial intelligence section, explains deep neural networks are additionally used to track and forecast disease outbreaks.

The expert, who presented recently at the national health summit in Wollongong, gave as an example Blue Dot, a organization established by infectious disease specialists and which was one of the first organisations to detect the coronavirus pandemic.

Generative AI is a additional branch of machine learning, in which the system can generate new content based on training data. These uses in healthcare include tools such as the virtual assistant as well as the automated note-takers doctors and allied health professionals are increasingly using.

A GP representative, the president of the national GP body, says family doctors have been embracing AI scribes, which records the appointment and turns into a medical summary that can be added to the health file.

The president says the main benefit of the tools is that it enhances the quality of the interaction between the physician and individual.

Dr Danielle McMullen, the president of the national doctors' group, agrees that AI note-takers are assisting doctors manage schedules and says artificial intelligence can also help to prevent repeated examinations and scans for their patients, if the {promised digitisation|planned digitalization