The pilot is led by Amit Weissenstern together with Professor Golan Shahar.
InTune is preparing a pilot study to evaluate the model of AI-assisted mental-health support and its implementation in a real-world setting.
Professor Golan Shahar will lead the professional and academic aspects of the pilot, including university approvals, ethics committee approval, the treatment program, and professional supervision throughout the pilot.
Teaching assistants working with Professor Shahar will support the research and operational aspects of the project, including literature review, identifying suitable Participants, training Supporters, and the ongoing coordination of the support process under Professor Shahar's professional supervision.
Support will be provided through video sessions, using a dedicated video-conferencing application developed specifically for InTune.
Each Participant will receive one support session per week.
The planned intervention will consist of approximately 12–16 sessions for each Participant.
Following each session, both the Supporter and the Participant will complete a questionnaire.
The questionnaires will help evaluate:
At the end of the 12–16 session period, the collected data will be analyzed to evaluate the outcomes of the pilot.
The results will help assess whether the InTune model can provide effective, structured, and scalable mental-health support, while also informing the continued development of the platform and its methodology.
Responsible for the development of InTune and the technical and operational aspects of the project.
Responsible for the professional framework of the pilot, including university and ethics approvals, the treatment program, and professional supervision.
Support the research and operational work of the pilot, including literature review, identifying suitable Participants, Supporter training, and ongoing operational support under the supervision of Professor Golan Shahar.
The pilot is intended to provide a structured environment in which the InTune model can be tested, evaluated, and refined.