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Psychedelics for the Treatment of Psychiatric Disorders: Interpreting and Translating Available Evidence and Guidance for Future Research.
Am J Psychiatry
January 2025
Department of Psychiatry (McIntyre, Mansur, Rosenblat) and Department of Pharmacology and Toxicology (McIntyre, Mansur, Rosenblat), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan); Champalimaud Research and Clinical Center, Champalimaud Foundation, Lisbon (Oliveira-Maia); NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon (Oliveira-Maia); Department of Psychiatry and Behavioral Sciences, University of South Carolina School of Medicine, Greenville (Maletic); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford (Suppes); Department of Psychiatry, University of California, San Diego (Stahl).
During the past decade, there has been extraordinary public, media, and medical research interest in psychedelics as promising therapeutics for difficult-to-treat psychiatric disorders. Short-term controlled trial data suggest that certain psychedelics are effective and safe in the treatment of major depressive disorder, treatment-resistant depression, and posttraumatic stress disorder. Preliminary evidence also supports efficacy in other psychiatric disorders (e.
View Article and Find Full Text PDFUnderstanding factors influencing e-scooterist crash risk: A naturalistic study of rental e-scooters in an urban area.
Accid Anal Prev
January 2025
Department of Mechanics and Maritime Sciences, Division of Vehicle Safety, Chalmers University of Technology, Hörsalsvägen 7, 41258 Göteborg, Sweden. Electronic address:
In recent years, micromobility has seen unprecedented growth, especially with the introduction of dockless e-scooters. However, the rapid emergence of e-scooters has led to an increase in crashes, resulting in injuries and fatalities, highlighting the need for in-depth analysis to understand the underlying mechanisms. While helpful in quantifying the problem, traditional crash database analysis cannot fully explain the causation mechanisms, e.
View Article and Find Full Text PDFAdvantages of eliminating the cataract surgery post-operative day 1 appointment in a rural practice.
Can J Rural Med
October 2024
Crew and Boss Eye Associates, Los Angeles, California.
Introduction: We sought to streamline cataract surgery post-operative care when COVID-19 hit by discontinuing the 1-day post-operative visit. We wanted to know if this change was safe and beneficial to our patients by reducing patients' time and transportation burden, opening appointment slots allowing providers to see more patients and reducing greenhouse gas emissions. By minimising intraoperative use of dispersive viscoelastic, increasing irrigation/aspiration time at the end of the surgery and using intraocular pressure (IOP) lowering medications such as carbachol, brimonidine and acetazolamide routinely, we posit that post-operative day 1 IOP spikes can be avoided, thereby eliminating the need for the 1st post-operative day visit.
View Article and Find Full Text PDFCritical appraisal of evidence supporting prescription of psychedelics from clinic websites in Ontario, Canada.
PLoS One
October 2024
MAP Centre for Urban Health Solutions, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Psychedelics, including ketamine, 3,4-Methyl enedioxy methamphetamine (MDMA), and psilocybin, have gained attention for their potential therapeutic role in mental health treatment. While recreational use is prohibited in Canada, medicinal exemptions can be granted. There are several psychedelic clinics in Ontario, Canada, promoting the use of psychedelics for a variety of medical indications.
View Article and Find Full Text PDFDevelopment, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support.
NPJ Digit Med
September 2024
Surgical Artificial Intelligence Research Academy, University Health Network, Toronto, ON, Canada.
Deep learning for computer vision can be leveraged for interpreting surgical scenes and providing surgeons with real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been demonstrated, especially to geographic locations that lack hardware and infrastructure necessary for real-time inference. We propose a new equipment-agnostic framework for real-time use in operating suites.
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