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Peta Rolls grew accustomed to getting Aida's regular call each morning.

A routine morning call from an AI voice bot was not part of the service Rolls expected when she signed up for the in-home support however 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 expectations weren't high.

Even so, when she got the call, she says: “I was so overtaken by how interactive the AI 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 might reply ‘I’m fine, thank you’.”

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

Aida would also inquire about what Rolls was planning for the day and “it would reply appropriately.”

“When I mentioned 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 recently concluded its first phase, is one of the ways in which progress in artificial intelligence are being integrated in the medical field.

Digital health company Healthily partnered with the care organization regarding the trial to utilize its generative AI technology to provide social interaction, as well as an option for elderly recipients to log any medical concerns or concerns for a staff member to address.

A senior director, head of the home care division, says the AI check-in being trialled is not a substitute for any in-person visits.

“Recipients still receive a regular face to face meeting, but in between visits … the automated system allows a daily check-in, which can then escalate any potential concerns to care staff or a client’s family,” Jones notes.

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

Healthily uses open AI “with very clear guardrails and prompts” to ensure the conversation is secure and mechanisms are in place to address critical medical problems quickly, the director states. For example, if a client is reporting chest pains, it would be flagged to the medical staff and the conversation terminated 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 qualified health professionals can focus on performing the duties that they specialize in,” she says.

Artificial Intelligence Long Established as Often Believed

An expert, the co-founder of the national AI health alliance, says older forms of AI have been a common feature of healthcare for a long time, frequently in “back office services” such as analyzing 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,” says the professor, who is additionally the director of the health informatics center at Macquarie University.

“When visiting the radiology unit, medical imaging center or pathology lab, you will find programs in equipment doing just that.”

In recent years, advanced versions of artificial intelligence called “machine learning” – an algorithmic approach that allows algorithms to analyze very large sets of data – have been used to interpret medical imaging and improve diagnosis, Coiera notes.

Recently, a screening service became Australia’s first population-based screening program to introduce machine reading technology to assist radiologists in interpreting a select range of mammography images.

These represent advanced systems that continue to need a qualified physician to evaluate the findings they could indicate, and the responsibility for a medical decision rests with the healthcare provider, the professor says.

AI’s Role in Early Disease Detection

A research center in Melbourne has been collaborating with scientists from UCL London who first developed artificial intelligence techniques to identify epilepsy brain abnormalities known as specific brain malformations from MRI images.

These abnormalities cause epileptic episodes that crequently cannot be controlled with medication, so surgical intervention to remove them becomes the sole option. However, the surgery can only be performed if the surgeons can pinpoint the abnormal tissue.

In research recently released in the journal Epilepsia, a group from the institute, headed by specialist Emma Macdonald-Laurs, demonstrated their “AI epilepsy detective” could detect the abnormalities in nearly all of instances from MRI and PET scans in a specific form of the malformations that have traditionally been missed in the majority of cases (60%).

The system was trained on the scans of a group of individuals and then evaluated with pediatric cases and adult patients. Among the youngsters, 12 had surgery and eleven became free of seizures.

This technology employs neural network classifiers similar to the breast cancer screening – flagging regions of abnormality, which are still checked by experts “speeding up the process to get to the answers,” Macdonald-Laurs says.

She stresses the team are still in the “early phases” of the project, with a further study necessary to advance the tool toward clinical implementation.

Prof Mark Cook, a brain specialist who was independent from the research, notes modern imaging now generate such huge amounts of detailed information that it is hard for a human to review it thoroughly. So for doctors the difficulty of finding these abnormalities was like “searching for a needle in a haystack.”

“This illustrates of how AI can support clinicians in making earlier, more accurate diagnoses, and has the potential to improve operation opportunities and results for children with treatment-resistant seizures,” Cook says.

Disease Detection in the Future

Dr Stefan Buttigieg, the vice-president of the international body's digital health and artificial intelligence section, explains advanced AI systems are additionally used to monitor and predict epidemics.

The expert, who spoke last month at the Public Health of Australia’s conference 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 additional branch of deep learning, in which the technology can produce original material using existing information. Such applications in medicine include programs such as Healthily’s AI voice bot along with the automated note-takers doctors and allied health professionals are adopting more.

Dr Michael Wright, the president of the national GP body, reports GPs have been embracing AI scribes, which captures the consultation and converts it to a consultation note that can be added to the patient record.

Wright states the main benefit of the tools is that it enhances the quality of the interaction between the doctor and patient.

A medical leader, the chair of the national doctors' group, agrees that scribes are helping physicians manage schedules and adds artificial intelligence also has the potential to prevent repeated examinations and scans for their patients, if the {promised digitisation|planned digitalization