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Avoid relying solely on AI for mental health support

Avoid relying solely on AI for mental health support

The Stara day ago

JOHOR BARU: The use of Artificial Intelligence (AI) to seek mental health support, especially among children and teenagers, must be approached cautiously, say groups here.
Johor Baru Befrienders board of trustee member Danny Loo (pic) said that while AI may offer an outlet to express mental health struggles, it is important to note that the responses generated are based on information retrieved online, including sources that are inaccurate.
'It may offer a space for those who are lonely to seek emotional support or simply to vent, but this should be approached with caution.
'We must remember that AI responses are based on data gathered from the Internet, which is often very general and could even be wrong.
'This may risk individuals seeking mental health support, including children and teenagers, getting the wrong advice that could potentially worsen their situation.'
Loo, who is also a member of Hospital Sultanah Aminah's psychiatric board of visitors, said proper assessment is key for anyone seeking mental health help.
'It is important for them to go through it with a professional who could come up with personalised treatments and support.
'A generalised response is far from enough, as each individual is different and responds to different approaches.'
Loo also noted that despite the seemingly increased reliance on AI, especially among youngsters, Johor Baru Befrienders are seeing more awareness among the group.
'We have been conducting awareness campaigns with schools in the last five years, which I believe has helped encourage youngsters to reach out to us.
'We see this through the number of calls we receive from the group, which has been gradually increasing every year,' he said, adding that Johor Baru Befrienders receive an average of 300 calls a month.
Parents, Community and Private Sector Involvement (PIBKS) national chairman Datuk Yahya Jaafar said that there is a need for the government to carry out studies on the matter.
'Like it or not, children and teenagers will be using AI. In fact, it is encouraged for them to do so for their studies,' Yahya said.
'Some may also use AI to seek mental health support, but at the moment, we do not really know whether this brings more harm or good.'
While PIBKS had yet to receive complaints from parents on the matter, he said they will keep a close eye on it.

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Here's the AI diagnosis: How the tech is being leveraged in M'sia's public healthcare system
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time5 hours ago

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Here's the AI diagnosis: How the tech is being leveraged in M'sia's public healthcare system

A man in his 60s showed up for a routine health screening at a ­private hospital in Klang Valley last year. Despite being a smoker, he wasn't displaying any ­symptoms that might have ­indicated a health issue. On that day, he also underwent a chest X-ray augmented by artificial intelligence (AI) software, which was designed to detect subtle abnormalities that the human eye may sometimes overlook. Prof Anand Sachithanandan, a consultant cardiothoracic ­surgeon, recalls how the software detected a small ­shadow in the upper zone of the man's left lung. 'It was something that would most likely be easily missed or overlooked by conventional X-ray imaging,' he says in a statement to LifestyleTech. Prof Anand adds that further investigations revealed an elevated tumour marker, which could be a sign of cancer in the body. While this may sound alarming, additional tests are needed to confirm the diagnosis. 'He was swiftly investigated with CT thorax scan, PET scan and biopsy – confirming an early-­stage primary lung cancer,' he says. Prof Anand adds that they ­performed a surgery to resect (remove) the tumour. Three days later, the man recovered well and went home. AI has the potential to sift through voluminous data very quickly and will pave the way for precision diagnostics and personalised treatments in the future. — Prof Anand Sachithanandan It was the first known case of AI helping to detect lung cancer in Malaysia, where Prof Anand says the technology involved cloud-based software powered by deep learning ­algorithms. 'The case demonstrated the potential to screen for lung cancer with a chest X-ray and how the technology can aid radiologists. 'It also highlighted the quick turnaround time which contributed in part to the patient completing definitive treatment in less than two weeks,' he adds. AI and early detection Malaysia began incorporating AI screening as early as 2020, when private healthcare centres launched initiatives to use AI for detection of retinal diseases. The adoption of AI is now broadening to public healthcare with the Health Ministry driving initiatives to use AI to detect diseases. Last year, the Health Ministry announced the roll-out of Dr Mata, an AI-driven software ­solution to detect and diagnose diabetic retinopathy, an eye disease caused by diabetes, in a pilot project involving around 140 ­government clinics. According to Health Ministry deputy director-­general for research and technical support Datuk Dr Nor Fariza Ngah in a report, the technology can help to produce eye test results at a ­faster rate and would lead to ­better outcomes for patients. Then in May, the Health Ministry announced that an AI-powered lung cancer screening initiative will be rolled out at seven health clinics nationwide – including in Kelantan, Pahang, and Kedah – starting this year. 'With this AI capability, the incident detection rate is significantly improved,' Bernama ­quoted Health Minister Datuk Seri Dr Dzulkefly Ahmad as ­saying during a National Lung Health Initiative 2025-2030 briefing in May. Based on the latest available National Cancer Registry Report (2017-2021), Prof Anand says lung cancer remains one of the ­leading cancers in Malaysia, with reported cases on the rise: 'It now makes up 10% of all cancer cases, ranks as the second most common cancer among men, and is the third most common among women.' He adds that the Health Ministry's initiative to prioritise lung cancer screening is timely, as identifying the disease at an earlier stage offers a significantly better chance of successful treatment. 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'The efforts can also be seen as an attempt to demonstrate Malaysia's commitment towards bridging the healthcare gap between urban and rural ­communities through scalable, data-driven solutions. 'It signals a shift from reactive to proactive care, where early detection can lead to timely interventions, improved outcomes, and reduced burden on tertiary care facilities,' Prof Yeong says in a statement to LifestyleTech. Prof Anand says AI is ubiquitous and its impact is now visible in all sectors of people's personal and professional lives. 'The government has been swift to recognise its potential and been proactive in the early adoption of various innovative AI-driven programmes,' he adds. He also believes social media has helped to normalise the broad concept of AI that 'it seems less daunting and more acceptable' to most people. 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'This includes building secure digital infrastructures and ensuring that AI models are developed, trained, and tested with full transparency especially regarding the origin and representativeness of the datasets used.' She also highlights the need for continuous monitoring. 'AI tools must be regularly assessed and updated to ensure they remain accurate in real-world conditions, are properly calibrated, and do not produce unequal outcomes across ­different patient groups ­especially in today's rapidly evolving healthcare landscape.' While AI can be scaled and deployed in rural areas to assist clinic staff without a radiologist or doctor on-site, Prof Anand points out that strong communication networks are essential for it to work effectively. 'The cost of installing the software, along with maintaining and upgrading server networks – such as 5G infrastructure – can be a limiting factor,' he adds. Dzulkefly has said in the Bernama report that the cost of deploying AI lung screening at the selected government clinics is relatively modest – just RM70,000 – and worth the investment for the benefits of early disease detection. 'Cautiously hopeful' As the founding president of the non-governmental organisation Lung Cancer Network Malaysia (LCNM), Prof Anand has been a key advocate for the use of AI in lung cancer screening. In 2021, LCNM launched a free screening initiative using AI-enhanced chest X-rays at health clinics across the Klang Valley, reaching over 10,000 ­participants. 'I am excited and cautiously hopeful with the more widespread adoption of AI screening,' he shares. Due to high disease burden and poor outcomes due to most cases being detected at the late stage, he says the time is now ripe for a national level lung screening programme. He adds that other countries like the United Kingdom initiated a national level lung screening ­programme back in 2019, while Australia is about to start their initiative in July. Ultimately, Prof Anand explains that screening is not a one-off test but part of a longer process that involves follow-up scans, biopsies, and treatment – requiring proper funding and workforce planning. 'There must be a well coordinated pathway for anyone with an abnormal finding on an AI-enabled chest X-ray to be ­followed up and quickly further investigated,' he adds. For AI tools to be integrated effectively into public healthcare, Prof Yeong says digital infrastructure at hospitals, clinics and screening centres must be strengthened. 'This includes expanding ­electronic health record (EHR) systems, securing medical data storage and improving network connectivity, particularly in rural and underserved areas where digital access may be limited,' she adds. There is also a need to provide healthcare professionals with ­digital literacy training and ­essential knowledge in data ­science. She also says there should be a ­structured pathway to expand and scale up successful pilot ­projects into 'sustainable, nationwide AI-powered programmes'. Beyond health screenings The potential for AI-driven solutions in Malaysia's public ­sector is vast, according to Prof Yeong. Beyond screening, she sees AI playing a significant role in patient management with tools like AskCPG. 'It can help streamline the implementation of national Clinical Practice Guidelines (CPGs) and optimise healthcare workflows by providing real-time recommendations based on patient data,' she adds. For hospital operations, she says that AI can also help to ­optimise administrative ­workflows by predicting patient volumes, managing bed ­occupancy and even automating appointment scheduling. 'Beyond clinical care, AI is increasingly used in drug ­discovery and clinical trials. It can optimise drug design ­tailored to specific populations or ­individuals, accelerate the ­identification of new drug candidates, and match patients to appropriate clinical trials based on eligibility criteria,' she adds. Prof Anand also sees the ­potential for AI to shape the future of health screenings in Malaysia. 'AI has the potential to sift through voluminous data very quickly and will pave the way for precision diagnostics and personalised treatments in the future,' he says, adding that there's the possibility of AI predicting and spotting early warning signs on a chest X-ray or CT scan – even before a tumour fully forms – allowing doctors to closely ­monitor high-risk patients and take action much earlier. While early intervention can significantly improve a patient's chances of survival, recovery also depends on the individual's own commitment to their health. 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Avoid relying solely on AI for mental health support
Avoid relying solely on AI for mental health support

The Star

timea day ago

  • The Star

Avoid relying solely on AI for mental health support

JOHOR BARU: The use of Artificial Intelligence (AI) to seek mental health support, especially among children and teenagers, must be approached cautiously, say groups here. Johor Baru Befrienders board of trustee member Danny Loo (pic) said that while AI may offer an outlet to express mental health struggles, it is important to note that the responses generated are based on information retrieved online, including sources that are inaccurate. 'It may offer a space for those who are lonely to seek emotional support or simply to vent, but this should be approached with caution. 'We must remember that AI responses are based on data gathered from the Internet, which is often very general and could even be wrong. 'This may risk individuals seeking mental health support, including children and teenagers, getting the wrong advice that could potentially worsen their situation.' Loo, who is also a member of Hospital Sultanah Aminah's psychiatric board of visitors, said proper assessment is key for anyone seeking mental health help. 'It is important for them to go through it with a professional who could come up with personalised treatments and support. 'A generalised response is far from enough, as each individual is different and responds to different approaches.' Loo also noted that despite the seemingly increased reliance on AI, especially among youngsters, Johor Baru Befrienders are seeing more awareness among the group. 'We have been conducting awareness campaigns with schools in the last five years, which I believe has helped encourage youngsters to reach out to us. 'We see this through the number of calls we receive from the group, which has been gradually increasing every year,' he said, adding that Johor Baru Befrienders receive an average of 300 calls a month. Parents, Community and Private Sector Involvement (PIBKS) national chairman Datuk Yahya Jaafar said that there is a need for the government to carry out studies on the matter. 'Like it or not, children and teenagers will be using AI. In fact, it is encouraged for them to do so for their studies,' Yahya said. 'Some may also use AI to seek mental health support, but at the moment, we do not really know whether this brings more harm or good.' While PIBKS had yet to receive complaints from parents on the matter, he said they will keep a close eye on it.

When going viral becomes fatal
When going viral becomes fatal

Borneo Post

timea day ago

  • Borneo Post

When going viral becomes fatal

She may be too young to read comments, but not too young to be watched by thousands. Is this consent, or coercion in cute disguise? IN chasing for more clicks, shares, likes, gifts and monetary returns of their social media posts, a young woman lost her life. Pan Xiaoting, a 24-year-old Chinese social media influencer made famous by her 'Mukbang' livestreams, died after a 10-hour livestreaming in the pursuit of eating up 1kg of food in front of her fans and audiences. It was not an accidental death or suffering from illness, it was by her own voluntary act of performing for her audience. I dread to say that the audiences are craving for excess. Are we one of them? If there is no audience, there is no performer, and it is cruel to say that. Autopsy performed on her revealed that her stomach had ripped open, severely deformed and filled with undigested food. Yes, it is shocking; it is tragic. 'Mukbang' is a social media trend where individuals broadcast themselves eating large quantities of food, often interacting with their audiences. It originated in South Korea – the word 'mukbang' is Korean for 'eating' and 'broadcast'. Yes, it is entertaining, but the negative effects may influence viewers to overeat and develop unhealthy eating habits. It is the result of social media trends where attention is money, and going to extremes is rewarded. Only days after reading this news, my social media feeds were bombarded with viral videos of mothers feeding their very young children an excessive amount of food. Probably, the quantity is more than what an adult can eat in one day. Chubby cheeks, bright eyes, sweet smiles, baby talks are all that could attract viewers. Who can resist such harmless innocence in this hectic world? But as a mother who has raised two children, I cannot help but feel uneasy. How can a child so small be possibly expected to consume that much food in one sitting? I am worried that these parents are crossing the line by sharing innocent family moments to performing for strangers on the Internet. The children enjoying a meal becomes moments of weaponising food just for clicks, likes and shares. Social media has opened the door for ordinary people to become celebrities. And with that, it has also unleashed a powerful, but also dangerous, drive to entertain. Social media, which began as a space for creativity and for people to share their talents and connection with friends, has sadly turned into a stage where such uncomfortable excessive acts cost lives. The various social media algorithms don't care about your well-being. It doesn't know whether a child is genuinely hungry, or being pushed to eat more than they should. It doesn't distinguish between authentic joy and dangerous pressure. It only amplifies what gets the most reactions. The tragedy of Pan Xiaoting is not an isolated case. It is a part of a larger problem that arose from monetisation of extremes for the sake of audiences. And now, it is alarming that this mindset applies even to children. We justify this by calling them 'family moment creators' or 'parenting influencers'. But let's face the reality. Children are not participating; they are forced to perform by the parents. They are too young to say no. They are too trusting to consent, and they become the victims of the adults' pursuit for fame and fortune. You may argue: 'What's wrong with a cute baby eating on camera?' Yes, I read some of the comments of the viewers. Once someone raises the question 'how could the baby be eating such amount of food', there will be voices reprimanding the commenter that 'the baby is eating healthy food'. As viewers, we are sending messages to support such videos by rewarding the acts with likes, monetary rewards and sponsorship deals. Social media may be new, but the need for limits is not. We have laws and reforms to protect the young in the real world. But nobody stops the act of asking a child to eat 10 bowls of noodles in front of a live audience. Is it acceptable when it is happening on a screen? It is time for social media platforms to take greater responsibility. Algorithms need to be recalibrated to favour health, honesty, and humanity – not harmful spectacle. But even more importantly, we, as the audience, need to pause and reflect. Every click is a vote. Every share is an endorsement. We must ask ourselves: are we engaging with content because it is meaningful; or because it is outrageous? Are we supporting creators who build communities; or those who risk their lives and exploit their families for a fleeting moment of 'virality'? Let Pan Xiaoting's story be a wake-up call. She died not because she was poor or hungry, but because she was performing for an audience that demanded more and more and gave nothing back when the curtain fell. Let us not applaud until it is too late. Let us, instead, choose to follow, support and share content that uplifts and educates, not endangers – especially when children are involved. We do not need another tragedy to realise that likes are not worth lives. fatal live-stream Mukbang social media viral

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