Posts

Showing posts with the label Psychology

Elevate Your Clinical Practice: Introducing the DiagnAvIgator Premium AI Suite

Image
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...

Updated Psychopathology-Psychotherapy Mapper With Therapy Evidence Grade

Image
The Beta version of my tool Psychopathology-Therapy Mapper is now updated to include 1. fixes to missing therapies and 2. additional supporting and critical sources for many therapies. Note about the development of this tool:  The tool is vibe-coded, but still required my fairly extensive full-stack development expertise to debug and implement. Debugging of the code and integration with Google blogger's very baroque proprietary blog template code required professional-level coding and software engineering theory. Implementation also required my professional training in psychology to identify obvious errors and problems with theory which mostly arose due to nomenclature problems (e.g. the clash of acronyms: Acceptance and Commitment Theory Vs Assertive Community Therapy and Mindfulness Therapy Vs Mindfulness-based Cognitive Therapy, among other problems. The AI also itself noticed that there is a lot of difficulty finding sources that are technically and broadly critical, and so the...

The Godfather of AI, Emotional AI, and the Multiple Realisability Thesis.

Image
A Robotic Bat Dreaming of Electric Sheep AI giant Geoffrey Hinton has proposed that AI might already be emotional. It is an interesting philosophical and practical proposal, qua philosophy of information, philosophy of AI, and philosophy of psychology and emotions. (Yes. Those are all real subdisciplines of contemporary analytic philosophy and philosophy of science.) How would AI emotion work? There are lots of potential ways. It depends upon how one defines the concept [emotions]. It also depends upon what one includes in a neuroscientific and neuro-psychological explanation and conception of emotion. In cognitive neuropsychology there is a prevailing view that emotions are reducible to (or alternatively: supervene upon) just more cognitive information processing spread across sub-personal, neurological systems in the brain - from the limbic system to the motor cortex to the central executive and even the vagus nerve. The multiple realisability thesis for mind proposes that a mind l...

Subclinical Endophenotypes in Schizophrenia Aetiology and Nosology

Image
This article is a short excerpt from this paper (in review):  A call for the inclusion of religious schizophrenic disorder (RSD) in the DSM It is well known to psychological science, genetic psychiatry, and behaviour genetics that certain people have genetically based vulnerabilities to certain kinds of mental disorders and personality disorders. One can use the following simple equation to express the contributions of nature (G or genetics) versus nurture (E or environment) to the formation of a particular trait or phenotype (P): P = G + E (1) The distinction between nature and nurture is often not helpful and can be blurred depending upon which disorder and which diagnostic criteria are of interest (Barlow, 2019; Crews et al., 2014; Schwartz, 1998) . However, there are few cases – and the number of cases is diminishing as more data and superior experimental designs and techniques become available – where genetics is not a known, significant aetiological factor. Nonetheless, t...