🔗 Share this article

A senior citizen grew accustomed to getting the AI's daily check-in each morning.

A routine morning call from an AI voice bot wasn't initially included in the service Rolls expected when she enrolled for St Vincent’s home care however when she was invited to participate in the pilot program four months ago, the 79-year-old said yes because she wanted to help. Even though, truth be told, her expectations were low.

Even so, when the call came through, she states: “I was so overtaken by how responsive the AI was. It was impressive for a robot.”

“The system would inquire ‘how are you feeling today?’ and that provides a chance 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 Rolls had planned for the day and “she would respond to that properly.”

“If I would say I plan to go shopping, she’d say are you shopping for clothes or groceries? I found it entertaining.”

AI Reducing the Workload on Healthcare Staff

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

Digital health company Healthily approached St Vincent’s about the program to utilize its generative AI technology to provide social interaction, as well as an option for elderly recipients to report 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 is not a substitute for any face to face interactions.

“Clients continue to get a weekly personal visit, but between these meetings … the [AI] system enables a routine call, which can then flag any potential concerns to care staff or a client’s family,” the director says.

The managing director, the CEO of Healthily, reports there haven’t been any adverse incidents noted from the St Vincent’s trial.

Healthily uses advanced AI “with very clear guardrails and prompts” to guarantee the interaction is safe and mechanisms are in place to address critical medical problems quickly, Campbell says. As an instance, if a client is experiencing heart symptoms, it would be alerted to the medical staff and the conversation terminated so the person could call emergency services.

Campbell believes artificial intelligence has an significant part amid staffing shortages throughout the healthcare sector.

“What we can do securely, with technology like this, is lessen the admin burden on the workforce so trained clinicians can concentrate on doing the job that they’re trained to do,” she says.

AI Not as New as Often Believed

An expert, the co-founder of the national AI health alliance, explains older forms of artificial intelligence have been a common feature of healthcare for a long time, often in “administrative functions” such as analyzing scans, ECGs and lab reports.

“Any computer program that performs a task that involves decision making in some way is AI, irrespective of how it accomplishes it,” states Coiera, who is also the head of the health informatics center at a leading university.

“When visiting the radiology unit, medical imaging center or pathology lab, you’ll see programs in machines performing these tasks.”

In recent years, newer forms of AI called “machine learning” – a neural network method that enables algorithms to analyze extensive datasets – have been employed to read medical imaging and improve diagnosis, the expert notes.

In November, BreastScreen NSW became Australia’s first population-based screening program to adopt machine reading technology to support specialists in reviewing a select range of breast scans.

They are advanced systems that still require a specialist doctor to evaluate the findings they might suggest, and the accountability for a clinical judgment sits with the healthcare provider, the professor says.

AI’s Role in Early Disease Detection

The Murdoch Children’s Research Institute in the city has been collaborating with scientists from UCL London who first developed AI methods to detect epilepsy brain abnormalities known as focal cortical dysplasias from MRI images.

These abnormalities trigger epileptic episodes that crequently are resistant with medication, so surgical intervention to remove them becomes the only treatment available. However, the surgery can proceed if the surgeons can pinpoint the affected area.

A study published this week in the journal Epilepsia, a team from the research body, led by specialist the lead researcher, demonstrated their “neural network tool” could identify the lesions in nearly all of cases from advanced imaging in a subtype of the lesions that have traditionally been missed in the majority of cases (sixty percent).

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

This technology uses AI algorithms comparable with the breast cancer screening – flagging suspicious areas, which are still checked by experts “speeding up the process to get to the answers,” the researcher explains.

She stresses the researchers are still in the “early phases” of the project, with a additional research required to advance the tool heading towards clinical implementation.

Prof Mark Cook, a neurologist who was independent from the study, notes MRI scans now produce such huge amounts of high-resolution data that it is hard for a person to review it thoroughly. Thus for clinicians the challenge of locating these lesions was like “searching for a needle in a haystack.”

“This illustrates of how AI can assist doctors in making quicker, precise identifications, and has the potential to improve surgical access and results for children with treatment-resistant seizures,” Cook comments.

Illness Identification in the Future

A public health expert, the deputy head of the European Public Health Association’s AI health division, says advanced AI systems are additionally used to track and forecast epidemics.

The expert, who spoke recently at the national health summit in the city, cited a tech firm, a company established by medical experts and which was one of the first organisations to identify the coronavirus pandemic.

Generative AI is a additional branch of deep learning, in which the system can produce original material using existing information. Such applications in healthcare encompass tools such as the virtual assistant as well as the AI scribes doctors and allied health professionals are increasingly using.

Dr Michael Wright, the president of the Royal Australian College of GPs, reports family doctors have been adopting AI scribes, which records the appointment and converts it to a consultation note that can be added to the patient record.

The president states the primary advantage of the tools is that it improves the standard of the interaction between the doctor and patient.

Dr Danielle McMullen, the president of the Australian Medical Association, concurs that scribes are helping doctors manage schedules and adds AI can also help to prevent duplication of tests and imaging for their clients, if the {promised digitisation|planned digitalization