Tag: AI

Reading of the Week: The Cutting Edge – Pharmacotherapy for Depression, Apps for Mental Health & AI for Everything (or Maybe Not)

From the Editor

He’s been depressed for years and you are considering augmentation. Should you choose an antipsychotic? Which one?

These are good questions, especially when treating patients with treatment-resistant depression. In the first selection, Drs. Manish K. Jha (of the University of Texas) and Sanjay J. Mathew (of Baylor College of Medicine) look at four antipsychotics in an American Journal of Psychiatry paper. They review the literature for augmentation, including the use of cariprazine, which has just received FDA approval for this purpose. They find evidence, but “their long-term safety in patients with MDD is not well established, and they are potentially concerning regarding weight gain, metabolic dysfunction, extrapyramidal symptoms, and tardive dyskinesia.” We consider the paper and its clinical implications.

In the second selection, S. E. Stoeckl (of Harvard University) and her co-authors consider the evolution of mental health apps in a new paper for the Journal of Technology in Behavioral Science. Looking at hundreds of apps, they analyze data on updates, including new features. They find: “This study highlights the dynamic nature of the app store environments, revealing rapid and substantial changes that could present challenges for app selection, consumer safety, and assessing the economic value of apps.”

And in the third selection, Dr. Dhruv Khullar (of Cornell University) writes for The New Yorker about AI and mental health. In a long essay that touches on chatbots for therapy and screening tools for suicide prevention, he wonders if AI can help clinicians (and non-clinicians) overcome issues around access. “Can artificial minds heal real ones? And what do we stand to gain, or lose, in letting them try?”

Note: there will be no Readings for the next two weeks.

DG

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Reading of the Week: RCTs & Mental Health – the New CJP Paper; Also, AI and Discharge Summaries (Lancet DH), and Mehler Paperny on Action (Globe)

From the Editor

How has psychiatric research changed over time?

In the first selection, Sheng Chen (of CAMH) and co-authors attempt to answer this question by focusing on randomized controlled trials in mental health in a new paper for The Canadian Journal of Psychiatry. Using the Cochrane Database of Systematic Reviews, they look at almost 6,700 RCTs published over the past decades. They find: “the number of mental health RCTs increased exponentially from 1965 to 2009, reaching a peak in the years 2005–2009,” and observe a shift away from pharmacologic studies.

RCTs: the gold standard of research

In the second selection, Sajan B. Patel (of St Mary’s Hospital) et al. consider ChatGPT and health care in a new Lancet Digital Health Comment. Noting that discharge summaries tend to be under-prioritized, they wonder if this AI program may help in the future, freeing doctor to do other things. “The question for the future will be how, not if, we adopt this technology.”

And in the third selection, writer Anna Mehler Paperny focuses on campaigns to reduce stigma in a hard-hitting essay for The Globe and Mail. She argues that action is urgently needed to address mental health problems. She writes: “We need more than feel-good bromides. Every time someone prominent utters something about how important mental health is, the follow should be: So what? What are you doing about it? And when?”

DG

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Reading of the Week: Dr. Scott Patten on ChatGPT

From the Editor

Having only written four papers, the author wouldn’t seem particularly noteworthy. Yet the work is causing a buzz. Indeed, JAMA published an Editorial about the author, the papers, and the implications.

That author is ChatGPT, who isn’t human, of course – and that’s why it has made something of a splash. More than a million people tried this AI program in the week after its November launch, utilizing it to do everything from composing poetry to drafting essays for school assignments. 

What to make of ChatGPT? What are the implications for psychiatry? And for our journals?

To the last question, some are already reacting; as noted above, last week, JAMA published an Editorial and also updated its Instructions to Authors with several changes, including: “Nonhuman artificial intelligence, language models, machine learning, or similar technologies do not qualify for authorship.”

This week, we feature an original essay by Dr. Scott Patten (of the University of Calgary) for the Reading of the Week. Dr. Patten, who serves as the Editor Emeritus of The Canadian Journal of Psychiatry, considers ChatGPT and these three questions, drawing on his own use of the program.

(And we note that the field is evolving quickly. Since Dr. Patten’s first draft, Microsoft has announced a chatbot for the search engine Bing.)

DG

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Reading of the Week: Suicide and Schizophrenia – Across Life Span; Also, Transgender-Inclusive Care (QT), and the NYT on Chatbots

From the Editor

This week, we have three selections.

In the first, we consider suicide and schizophrenia. In a new JAMA Psychiatry paper, Dr. Mark Olfson (of Columbia University) and his co-authors do a cohort study across life-span, tapping a massive database. They find: “the risk of suicide was higher compared with the general US population and was highest among those aged 18 to 34 years and lowest among those 65 years and older.” The authors see clear clinical implications: “These findings suggest that suicide prevention efforts for individuals with schizophrenia should include a focus on younger adults with suicidal symptoms and substance use disorders.”

In the second selection, we consider transgender-inclusive care, looking at a new Quick Takes podcast. Drs. June Lam and Alex Abramovich (both of the University of Toronto) comment on caring for members of this population. “Trans individuals are medically underserved and experience, poor mental health outcomes, high rates of disease burden – compared to cisgender individuals.”

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Finally, in our third selection from The New York Times, reporter Karen Brown writes about chatbots for psychotherapy, focusing on Woebot. The writer quotes psychologist Alison Darcy about the potential of these conversational agents: “If we can deliver some of the things that the human can deliver, then we actually can create something that’s truly scalable, that has the capability to reduce the incidence of suffering in the population.”

DG

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Reading of the Week: AI & Mental Health – Gordon Parker Looks Ahead; Also, Remembering Ronald Fieve

From the Editor

As artificial intelligence advances, what role will computers play in mental health care?

Today, computers touch practically every aspect of our lives – from suggesting books that may be of interest to us on Amazon to helping fly our planes to tropical destinations. But will computers soon help us with diagnosing and treating our patients? Will some parts of clinical medicine be replaced or assisted by computers?

This week, we look at a new paper from Acta Psychiatrica Scandinavica considering AI and care. University of New South Wales’ Professor Gordon Parker sees a role for computers to help humans with diagnosis – but not more. “[R]ather than seeking to develop a computer program that will have diagnostic superiority to an ace clinical psychiatrist, it may be more important to develop programs that complement the psychiatrist’s judgement.”

AI: The next great doctor – or just a pretty face?

And in the second selection, we look back, not forward, and consider the career and contributions of psychiatrist Ronald R. Fieve, who recently passed. Dr. Fieve’s work helped bring lithium to North America.

DG

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