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These comedians are funny!🤣 90% of Software engineering roles are about to go the way of the dodo. Even worse for code jockeys. Don't worry. It's coming for the therapists too. Oh yes. It is. It has a lot of flaws at the moment, but they're being ironed out almost recursively. AI doesn't have all the hangups human therapists have, and it doesn't have to answer the same rapport-building and therapeutic alliance demands even though it can do a pretty good job of those too. It doesn't have the intuition yet, which matters because therapy's mostly about soft skills for rapport building and the therapeutic alliance. However, what it does have is out-sized access to the psychological-scientific episteme and better theory and evidence-base knowledge than any psychologist will ever have. That matters. No amount of soft skills are important if the treatment is naive and wrong and if the therapist is inaccessible to the client due to personality, superiority, asymme...

Disorder DiagnAvIgator  

As mental health professionals, our most valuable resource is time. Time for our clients, time for research, and time for our own professional development. But what if you could streamline your clinical workflow and access evidence-based insights in seconds? I'm thrilled to introduce  DiagnAvIgator , an AI-powered tool designed by Dr. Bruce R. Long to support clinical psychologists, psychiatric nurses, therapists, and students in navigating the complexities of psychopathology. While our core platform allows you to explore disorders and their clinical outlines, our new  Premium AI Suite  unlocks a new level of clinical support and efficiency. With a DiagnAvIgator Premium subscription, you can: 🧠  Generate Differential Diagnoses:  Use our AI-powered Differential Diagnosis Assistant (DDA). Simply input a clinical description of symptoms and receive a structured analysis of potential diagnoses, complete with supporting criteria and key distinguishing features to ai...

Real-Time Physiological Monitoring for Virtual Exposure Therapy: Open-Source Systems and Web Integration via Firebase Executive Summary This report provides a comprehensive analysis of open-source biosensing technologies suitable for measuring fear responses in phobia patients during virtual exposure therapy. It addresses the critical requirements for real-time data acquisition, ease of web application integration, and compatibility with Firebase for data handling and on-screen display. The assessment covers electroencephalography (EEG) and complementary autonomic and behavioral measures, including Galvanic Skin Response (GSR), Heart Rate Variability (HRV), eye-tracking, and facial expression analysis. Key recommendations for hardware, software, and architectural patterns are presented to facilitate the development of a robust and effective virtual exposure therapy application. Physiological Markers of Fear: A Foundation for Measurement Understanding and quantifying fear responses in a...