Petalol looked forward to Aida’s call each morning at 10 AM.
While daily check-in calls from the AI Voice bot weren’t part of the expected service package when she enrolled in St. Vincent’s home care, the 79-year-old agreed to participate in the trial four months ago to assist with the initiative. However, realistically, her expectations were modest.
Yet, when the call comes in, she remarks: “I was taken aback by how responsive she is. It’s impressive for a robot.”
“She always asks, ‘How are you today?’ allowing you to express if you’re feeling unwell.”
“She then follows up with, ‘Did you get a chance to go outside today?’
Aida also inquires about what tasks she has planned for the day, stating, “I’ll manage it well.”
“If I say I’m going shopping, will she clarify if it’s for groceries or something else? I found that fascinating.”
Bots that alleviate administrative pressure
Currently, the trial, which is nearing the end of its initial phase, exemplifies how advancements in artificial intelligence are impacting healthcare.
The Digital Health Company collaborated with St. Vincent’s health to trial its generative AI technology aimed at enhancing social interaction, enabling home care clients to follow up with staff regarding any health concerns.
Dean Jones, the national director at St. Vincent’s, emphasizes that this service is not intended to replace face-to-face interactions.
“Clients still have weekly in-person meetings, but during these sessions… [AI] the system facilitates daily check-ins and highlights potential issues to the team or the client’s family,” Jones explains.
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Dr. Tina Campbell, Health Managing Director, states no negative incidents have been reported from the St. Vincent trial.
The company employs open AI “with clearly defined guardrails and prompts” to ensure conversations remain safe and can promptly address serious health concerns, according to Campbell. For instance, if a client experiences chest pain, the care team is alerted, and the call is terminated, allowing the individual to call emergency services.
Campbell believes that AI is pivotal in addressing significant workforce challenges within the healthcare sector.
“With this technology, we can lessen the burden on workforce management, allowing qualified health professionals to focus on their duties,” she states.
AI isn’t as novel as you think
Professor Enrico Coyera, founder of the Australian Alliance for Artificial Intelligence in Healthcare, notes that older AI systems have been integral to healthcare in “back-office services,” including medical imaging and pathology report interpretations.
Coyera, who directs the Center for Health Information at Macquarie University, explains:
“In departments like Imaging and Radiology, machines already perform these tasks.”
Over the past decade, a newer AI method called “deep learning” has been employed to analyze medical images and enhance diagnoses, Coyera adds.
In November, New South Wales became the first in Australia to implement mechanical measurement technology in population-based screening programs to aid radiologists with the interpretation of mammographic images.
These tools remain specialized and require expert interpretation, and ultimately, responsibility for medical decisions rests with practitioners, Coyera stresses.
The role of AI in early disease identification
The Murdoch Children’s Institute in Melbourne, in partnership with researchers at UCL London, has developed an AI method to identify brain abnormalities in epilepsy, specifically local cortical dysplasia in MRI scans.
These lesions can cause seizures that are resistant to medication, making surgery the only treatment option. However, successful surgery depends on the ability to identify the abnormal tissue.
In a study published this week in Epilepsia, a team led by neurologist Emma McDonald Rouse demonstrated that “AI epilepsy detectors” can identify lesions in up to 94% of MRI and PET scans, even detecting a subtype of lesions that are often missed by over 60%.
This AI was trained using scans from 54 patients and was tested on 17 children and 12 adults. Of the 17 children, 12 underwent surgery, and 11 are currently seizure-free.
This tool employs a neural network classifier, similar to breast cancer screening, to highlight abnormalities that experts still need to review, emphasizing a much faster path to diagnosis.
She underlines that researchers remain in the “early stages” of development, and further study is necessary to advance the technology for clinical use.
Professor Mark Cook, a neurologist not associated with the research, states that MRI scans yield vast amounts of high-resolution data that are challenging for humans to analyze. Thus, locating these lesions is akin to “finding needles in a haystack.”
“This exemplifies how AI can assist clinicians by providing quicker and more precise diagnoses, potentially enhancing surgical access and outcomes for children with otherwise severe epilepsy,” Cook affirms.
Prospects for disease detection
Dr. Stefan Buttigieg, vice-president of the Digital Health and Artificial Intelligence section at the European Association of Public Health, notes that deep neural networks are integral to monitoring and forecasting disease outbreaks.
At the Australian Public Health Conference in Wollongong last month, Buttigieg referenced the early detection of the Covid-19 outbreak by Blue Dot, a firm established by infectious disease specialists.
Generative AI represents a subset of deep learning, allowing technology to create new content based on its training data. Applications in healthcare include programs like Healthyly’s AI Voice Bot and AI Scribes for doctors.
Dr. Michael Wright, president of the Royal Australian GPS College, mentions that GPs are embracing AI Scribes, which transform consultations into notes for patient records.
Wright highlights that the primary benefit of scribes is to enhance the quality of interactions between physicians and patients.
Dr. Daniel McMullen, president of the Australian Medical Association, concurs, stating that scribes assist doctors in optimizing their time and that AI could help prevent redundant testing for patients. The promised digitization of health records remains a challenge.
Buttigieg argues that one of AI’s greatest potential is in delivering increasingly personalized healthcare.
“For years, healthcare has relied on generic tools and solutions. Now, we are moving towards a future with more sophisticated solutions, where AI fulfills the same roles,” Buttigieg concludes.
Source: www.theguardian.com
