insomnia Archives - Mediformatica

Assessment of an App-Based Sleep Program to Improve Sleep Outcomes in a Clinical Insomnia Population: Randomized Controlled Trial

April 23, 2025JMIR mHealth and uHealth

Background: Insomnia is the most commonly reported sleep disturbance and significantly impacts mental health and quality of life. Traditional treatments for insomnia include pharmacological interventions or cognitive behavioral therapy for insomnia (CBT-I), but these…

March 12, 2025npj Digital Medicine

Insomnia impairs daily functioning and increases health risks. Cognitive behavioral therapy for insomnia (CBT-I) is effective but limited by cost and therapist availability. Fully automated digital CBT-I (FA dCBT-I) provides an accessible alternative without…

An active inference strategy for prompting reliable responses from large language models in medical practice

February 22, 2025March 2, 2025npj Digital Medicine

Continuing advances in Large Language Models (LLMs) are transforming medical knowledge access across education, training, and treatment. Early literature cautions their non-determinism, potential for harmful responses, and lack of quality control. To address these…

Medtech startup SleepCogni raises £300,000 for insomnia care

December 19, 2024December 19, 2024Digital Health

Sheffield-based insomnia medtech firm SleepCogni has raised £300,000, bringing its total funding to £3.9m.
The funding was raised in an Enterprise Investment Scheme pre-approved bridging round, supported by existing investors and grants.
Richard Mills, chief executive…

Smartphone AI Facial Scans May Help Detect Sleep Disorders

November 22, 2024November 23, 2024HIT Consultant

What You Should Know:

– Researchers at Stanford University, in collaboration with SoundHealth, have conducted a pioneering study exploring the use of smartphone facial scans and AI to analyze facial structures linked to sleep disorders.

–…

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Social determinants of health extraction from clinical notes across institutions using large language models

Tag: insomnia

Assessment of an App-Based Sleep Program to Improve Sleep Outcomes in a Clinical Insomnia Population: Randomized Controlled Trial

An active inference strategy for prompting reliable responses from large language models in medical practice

Medtech startup SleepCogni raises £300,000 for insomnia care

Smartphone AI Facial Scans May Help Detect Sleep Disorders

Insomnia app unavailable for most of NHS despite NICE approval

Redefining Sleep Health: From PSG Limitations to Next-Generation Solutions – MedCity News

Create Health Ventures New Fund; SleepioRX 510(k) cleared; MD Ally raise $14m, the EU AI Act.

Australian Company Launches retimer 3 – A Smart Sleep Wearable | Healthcare IT Today

Proposed new Medicare billing codes could boost digital mental health treatment

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

Social determinants of health extraction from clinical notes across institutions using large language models

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

The DRAGON benchmark for clinical NLP

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Datavant acquires Aetion to expand RWE platform

Sprinter scores $55M for home healthcare offering

New app streamlines integration of medical data for dental practices

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