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Machine learning in preclinical drug discovery
Drug-discovery and drug-development endeavors are laborious, costly and time consuming.
These programs can take upward of 12 years and cost US $2.5 billion, with a failure rate of …
These programs can take upward of 12 years and cost US $2.5 billion, with a failure rate of …
Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
Large language models (LLMs) such as Open AI's GPT-4 (which power ChatGPT) and
Google's Gemini, built on artificial intelligence, hold immense potential to support, augment …
Google's Gemini, built on artificial intelligence, hold immense potential to support, augment …
The need for a measurement-based care professional practice guideline.
Professional practice guidelines (PPGs) are intended to promote a high level of professional
practice and serve as an educational resource, providing pragmatic guidance in a clinical …
practice and serve as an educational resource, providing pragmatic guidance in a clinical …
Distinct roles of state-like and trait-like patient–therapist alliance in psychotherapy
Hundreds of studies suggest that the patient–therapist alliance is the most consistent
predictor of treatment outcome across patients, therapists, types of treatment and settings …
predictor of treatment outcome across patients, therapists, types of treatment and settings …
[HTML][HTML] Evaluating the efficacy of ChatGPT in navigating the Spanish medical residency entrance examination (MIR): promising horizons for AI in clinical medicine
The rapid progress in artificial intelligence, machine learning, and natural language
processing has led to increasingly sophisticated large language models (LLMs) for use in …
processing has led to increasingly sophisticated large language models (LLMs) for use in …
Automated evaluation of psychotherapy skills using speech and language technologies
With the growing prevalence of psychological interventions, it is vital to have measures
which rate the effectiveness of psychological care to assist in training, supervision, and …
which rate the effectiveness of psychological care to assist in training, supervision, and …
[HTML][HTML] The impact of artificial intelligence on the tasks of mental healthcare workers: A sco** review
Abstract Background Artificial Intelligence (AI) is expected to transform the work context
deeply. Currently, multiple AI systems are being studied and applied in the mental …
deeply. Currently, multiple AI systems are being studied and applied in the mental …
Understanding client reactions in online mental health counseling
Communication success relies heavily on reading participants' reactions. Such feedback is
especially important for mental health counselors, who must carefully consider the client's …
especially important for mental health counselors, who must carefully consider the client's …
Nonverbal synchrony as a marker of alliance ruptures.
Findings from the past 5 decades of empirical research on the working alliance suggest its
importance in psychotherapy. Recent studies have sought to identify markers of the alliance …
importance in psychotherapy. Recent studies have sought to identify markers of the alliance …