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A senior citizen came to anticipate receiving the AI's regular check-in at 10am.

A routine morning call by an automated voice assistant wasn't initially included in the service Rolls envisioned when she signed up for St Vincent’s home care but when she was invited to be part of the trial several months back, the elderly lady said yes because she wanted to help. Although, truth be told, her hopes weren't high.

Nevertheless, when the call came through, she says: “I was amazed by how interactive she was. It was impressive for a robot.”

“The system would inquire ‘how you are today?’ and that provides a chance if you feel unwell to say you felt sick, or I just say ‘I’m fine, thank you’.”

“She would go on to ask follow-up questions – ‘did you manage to go outdoors today?’”

The virtual assistant would also inquire about what the user had planned for the day and “it would reply appropriately.”

“If I would say I’m going shopping, it would ask nice shopping or food shopping? It was quite engaging.”

AI Reducing the Administrative Burden on Medical Professionals

This pilot, which has recently concluded its first phase, is one of the ways in which advances in AI technology are being integrated in healthcare.

Digital health company the provider partnered with the care organization regarding the trial to use its generative AI technology to provide companionship, along with an opportunity for elderly recipients to log any health issues or concerns for a staff member to follow up.

Dean Jones, national director of the home care division, explains the AI check-in being trialled does not replace any in-person visits.

“Clients continue to get a regular personal visit, but in between visits … the [AI] system enables a daily check-in, which can then flag any potential concerns to either our team or a client’s family,” Jones says.

The managing director, the managing director of the company, says there have been no any adverse incidents reported from the St Vincent’s trial.

Healthily employs advanced AI “with strict safety protocols” to guarantee the conversation is secure and mechanisms are established to address serious health issues promptly, the director says. As an instance, if a patient is reporting heart symptoms, it would be flagged to the care team and the call ended so the person could dial triple zero.

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

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

Artificial Intelligence Long Established as Often Believed

An expert, the founder of the national AI health alliance, says older forms of artificial intelligence have been a standard part of healthcare for a considerable period, frequently in “back office services” such as interpreting medical images, cardiograms and lab reports.

“Software that performs a function that requires judgment in some way is artificial intelligence, regardless of how it achieves that,” states the professor, who is also the head of the Centre for Health Informatics at a leading university.

“When visiting the radiology unit, medical imaging center or diagnostic laboratory, you’ll see software in machines doing just that.”

Over the past decade, newer forms of AI called “deep learning” – a neural network method that allows algorithms to learn from very large sets of data – have been employed to interpret diagnostic scans and enhance detection, Coiera says.

In November, a screening service became Australia’s first public health initiative to adopt AI analysis tools to assist radiologists in interpreting a select range of breast scans.

These represent specialized tools that continue to need a specialist doctor to interpret the findings they could indicate, and the accountability for a medical decision rests with the medical practitioner, Coiera says.

AI’s Role in Early Disease Detection

A research center in the city has been collaborating with scientists from UCL London who pioneered artificial intelligence techniques to detect epilepsy brain abnormalities known as specific brain malformations from brain scans.

These lesions cause epileptic episodes that crequently cannot be controlled with medication, meaning surgery to excise the tissue becomes the only treatment available. But, the surgery can only be performed if the surgeons can locate the abnormal tissue.

In research recently released in the scientific publication, a group from the research body, led by neurologist Emma Macdonald-Laurs, demonstrated their “neural network tool” could detect the lesions in up to 94% of cases from advanced imaging in a subtype of the malformations that have traditionally been overlooked in more than half of patients (sixty percent).

The AI was trained on the images of a group of individuals and then tested on 17 children and adult patients. Among the youngsters, twelve underwent operations and eleven became free of seizures.

The tool employs AI algorithms similar to the mammography analysis – highlighting regions of abnormality, which are still checked by experts “speeding up the process to reach a conclusion,” Macdonald-Laurs says.

She stresses the researchers are still in the “early phases” of the work, with a additional research necessary to get the technology toward clinical implementation.

A leading neurologist, a neurologist who was independent from the research, notes MRI scans now produce such huge amounts of detailed information that it is hard for a human to review it accurately. Thus for clinicians the difficulty of finding these abnormalities was like “searching for a needle in a haystack.”

“This illustrates of how AI can support doctors in making quicker, more accurate diagnoses, and has the potential to enhance operation opportunities and outcomes for kids with otherwise intractable epilepsy,” the professor comments.

Disease Detection in the Years Ahead

A public health expert, the deputy head of the international body's AI health division, explains deep neural networks are also helping to track and forecast disease outbreaks.

Buttigieg, who spoke recently at the Public Health of Australia’s conference in Wollongong, gave as an example Blue Dot, a organization established by infectious disease specialists and which was an early detector to detect the Covid-19 outbreak.

Content-creating AI is a additional branch of machine learning, in which the technology can produce original material based on existing information. These uses in medicine include programs such as Healthily’s AI voice bot along with the AI scribes doctors and allied health professionals are increasingly using.

Dr Michael Wright, the president of the Royal Australian College of GPs, says GPs have been embracing AI scribes, which records the consultation and converts it to a medical summary that can be added to the patient record.

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

Dr Danielle McMullen, the chair of the national doctors' group, agrees that AI note-takers are helping physicians manage schedules and adds artificial intelligence can also help to help doctors avoid duplication of tests and scans for their clients, if the {promised digitisation|planned digitalization