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A senior citizen grew accustomed to receiving Aida's daily check-in each morning.

A daily check-in call from an AI voice bot wasn't initially included in the service Rolls envisioned when she enrolled for the in-home support however when they asked to be part of the trial several months back, the elderly lady agreed because she wished to contribute. Although, truth be told, her hopes were low.

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

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

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

Aida would also ask what the user was planning 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? It was quite engaging.”

Bots Easing the Administrative Burden on Healthcare Staff

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

Health tech firm Healthily approached the care organization about the program to use its generative AI technology to provide companionship, along with an opportunity for home care clients to log any medical concerns or concerns for a caregiver to follow up.

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

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

The managing director, the CEO of the company, reports there have been no any negative events reported from the St Vincent’s trial.

Healthily uses open AI “with strict safety protocols” to ensure the conversation is secure and mechanisms are established to address critical medical problems promptly, the director says. As an instance, if a client is experiencing chest pains, it would be alerted to the care team and the call terminated so the person could call emergency services.

She believes artificial intelligence has an significant part given staffing shortages across the healthcare sector.

“What we can do very safely, using such systems, is reduce the administrative load on the workforce so qualified health professionals can focus on doing the job that they’re trained to do,” she says.

Artificial Intelligence Long Established as You Might Think

Prof Enrico Coiera, the founder of the Australian Alliance for Artificial Intelligence in Healthcare, says established types of artificial intelligence have been a standard part of medicine for a considerable period, often in “back office services” such as interpreting scans, cardiograms and pathology test results.

“Software that carries out a task that involves decision making in certain aspects is AI, regardless of how it accomplishes it,” states Coiera, who is also the director of the Centre for Health Informatics at a leading university.

“If you go the radiology unit, medical imaging center or diagnostic laboratory, you’ll see software in equipment doing just that.”

In recent years, newer forms of artificial intelligence known as “deep learning” – a neural network method that allows systems to learn from extensive datasets – have been employed to read diagnostic scans and enhance detection, Coiera says.

Recently, a screening service became the nation's first population-based screening program to adopt AI analysis tools to support specialists in reviewing a select range of mammography images.

These represent specialized tools that still require a qualified physician to evaluate the findings they could indicate, and the responsibility for a clinical judgment sits with the healthcare provider, the professor emphasizes.

AI’s Role in Early Disease Detection

A research center in the city has been collaborating with scientists from a UK university who pioneered artificial intelligence techniques to detect neurological lesions called focal cortical dysplasias from MRI images.

These lesions trigger epileptic episodes that often cannot be controlled with drugs, meaning surgery to excise the tissue becomes the sole option. But, the surgery can only be performed if the doctors can pinpoint the affected area.

A study recently released in the journal Epilepsia, a group from the research body, headed by neurologist Emma Macdonald-Laurs, demonstrated their “AI epilepsy detective” could identify the lesions in up to 94% of cases from MRI and PET scans in a specific form of the malformations that have historically been overlooked in the majority of patients (60%).

The AI was developed using the images of 54 patients and then evaluated with pediatric cases and adult patients. Of the 17 children, 12 had surgery and 11 are now seizure free.

The tool employs AI algorithms similar to the breast cancer screening – highlighting regions of abnormality, which are subsequently reviewed by experts “but it makes it a lot quicker to reach a conclusion,” the researcher explains.

She stresses the researchers are still in the “early phases” of the project, with a further study necessary to get the technology heading towards clinical implementation.

Prof Mark Cook, a brain specialist who was independent from the research, notes modern imaging now generate such vast quantities of high-resolution data that it is hard for a person to review it thoroughly. Thus for clinicians the challenge 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 quicker, more accurate diagnoses, and has the potential to enhance surgical access and results for children with otherwise intractable epilepsy,” Cook comments.

Illness Identification in the Years Ahead

Dr Stefan Buttigieg, the deputy head of the European Public Health Association’s AI health division, explains deep neural networks are additionally used to monitor and predict epidemics.

Buttigieg, who presented recently at the Public Health of Australia’s conference in Wollongong, cited Blue Dot, a company established by medical experts and which was an early detector to identify the Covid-19 outbreak.

Content-creating AI is a additional branch of deep learning, in which the system can generate new content based on training data. These uses in healthcare encompass tools such as Healthily’s AI voice bot along with the AI scribes doctors and allied health professionals are adopting more.

A GP representative, the head of the national GP body, says family doctors have been adopting AI scribes, which captures the consultation and converts it to a medical summary that can be included in the patient record.

Wright states the main benefit of the scribes is that it enhances the quality of the interaction between the physician and individual.

A medical leader, the chair of the national doctors' group, agrees that AI note-takers are helping physicians manage schedules and adds AI can also help to prevent repeated examinations and scans for their patients, if the {promised digitisation|planned digitalization