IoT in Healthcare: AI Integration for Better Patient Outcomes
Explore how IoT and AI improve patient outcomes through real-time monitoring, predictive analytics, automated alerts, and smarter healthcare workflows.
Explore how IoT and AI improve patient outcomes through real-time monitoring, predictive analytics, automated alerts, and smarter healthcare workflows.
Il envoie 10 ans de données de son Apple Watch vers ChatGPT Santé : ça tourne mal
Confier une décennie de battements cardiaques à une IA semblait être l'étape logique du « Quantified Self ». Mais quand l'assistant d'OpenAI transforme des approximations techniques en diagnostic alarmiste, le rêve de la médecine prédictive vire à la farce hypocondriaque.
This reduction would 'offset the initial cost of the device': New research argues for health services giving out Apple Watches to patients for free — here's why
Apple Watches helped researchers detect arrhythmia four times more often – proving that wearables can really save your life.
Apple Watches helped researchers detect arrhythmia four times more often – proving that wearables can really save your life.
Les limites des montres connectées pour le sommeil
Les montres connectées sont des outils d’observation et de tendance, utiles pour documenter le vécu subjectif et le contexte, mais pas comme substituts à une exploration du sommeil lorsqu’une pathologie est suspectée
Avec Halo, Y-Brush veut transformer le brossage de dents en outil de prévention santé - Les Numériques
Au CES 2026 de Las Vegas, Y-Brush ne se contente plus de promettre un brossage plus rapide. La marque française y présente une gamme élargie de brosses électriques, dont un modèle expérimental capable d'analyser l'haleine pour détecter certains signaux d'hygiène. La start-up avance donc du côt
[2505.03784] Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers
Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in tissues. Current methods for measuring insulin resistance, while effective, are expensive, inaccessible, not widely available and hinder opportunities for early intervention. In this study, we remotely recruited the largest dataset to date across the US to study insulin resistance (N=1,165 participants, with median BMI=28 kg/m2, age=45 years, HbA1c=5.4%), incorporating wearable device time series data and blood biomarkers, including the ground-truth measure of insulin resistance, homeostatic model assessment for insulin resistance (HOMA-IR). We developed deep neural network models to predict insulin resistance based on readily available digital and blood biomarkers. Our results show that our models can predict insulin resistance by combining both wearable data and readily available blood biomarkers better than either of the two data sources separately (R2=0.5, auROC=0.80, Sensitivity=76%, and specificity 84%). The model showed 93% sensitivity and 95% adjusted specificity in obese and sedentary participants, a subpopulation most vulnerable to developing type 2 diabetes and who could benefit most from early intervention. Rigorous evaluation of model performance, including interpretability, and robustness, facilitates generalizability across larger cohorts, which is demonstrated by reproducing the prediction performance on an independent validation cohort (N=72 participants). Additionally, we demonstrated how the predicted insulin resistance can be integrated into a large language model agent to help understand and contextualize HOMA-IR values, facilitating interpretation and safe personalized recommendations. This work offers the potential for early detection of people at risk of type 2 diabetes and thereby facilitate earlier implementation of preventative strategies.
SensorLM: Learning the language of wearable sensors
Wearable devices, from smartwatches to fitness trackers, have become ubiquitous, continuously capturing a rich stream of data about our lives. They record our heart rate, count our steps, track our fitness and sleep, and much more.
Ce stéthoscope alimenté par l’IA pourrait révolutionner la médecine moderne
Des chercheurs viennent de présenter un accessoire médical révolutionnaire. Il s’agit d’un « simple » stéthoscope doté de capteurs alimentés par l’intelligence artificielle, capable de détecter de nombreuses pathologies en…
Wearable Devices Improve Parkinson’s Medication Adjustments: Trial
In an era where precision medicine is progressively reshaping the landscape of neurological care, a groundbreaking study published in npj Parkinson’s Disease unveils compelling evidence supporting the integration of wearable technology in the management of Parkinson’s disease.
Google unveils enhanced wearable sensor technology SensorLM
The tech giant's SensorLM analyzes data from wearables to provide personalized insights into how everyday life affects one's body.
Your Patient’s Smartwatch Could Be a Legal Time Bomb
Your patient’s smartwatch tracks more than steps. It could drag you into a legal gray zone.
Cardiosense wins FDA clearance for wearable heart monitor
The device captures various types of heart data that could be used in AI models for cardiovascular parameters with the aim of lowering barriers to monitoring.
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses
Wearable activity trackers offer an appealing, low-cost tool to address physical inactivity.
This systematic review of systematic reviews and meta-analyses (umbrella review) aimed
to examine the effectiveness of activity trackers for improving physical activity
and related physiological and psychosocial outcomes in clinical and non-clinical populations.
Seven databases (Embase, MEDLINE, Ovid Emcare, Scopus, SPORTDiscus, the Cochrane Library,
and Web of Science) were searched from database inception to April 8, 2021.
MenstruAI : une serviette hygiénique pour détecter des maladies
Faut-il avoir recours à l’intelligence artificielle pour mieux se réapproprier son corps ? Une multitude d’objets connectés, dopés à l’IA, ont envahi le marché de la santé, offran
Quel usage pour des capteurs passifs dans les psychoses?
Wearables Track Medication Impact on Parkinson’s Motor Symptoms
In recent years, the landscape of Parkinson’s disease management has been dramatically transformed by the advent of wearable technology.A groundbreaking systematic review, led by Packer, Debelle, Bailey, and colleagues, published in npj Parkinson’s Disease, illuminates how these devices are revolutionizing...
In recent years, the landscape of Parkinson’s disease management has been dramatically transformed by the advent of wearable technology.A groundbreaking systematic review, led by Packer, Debelle, Bailey, and colleagues, published in npj Parkinson’s Disease, illuminates how these devices are revolutionizing...
In recent years, the landscape of Parkinson’s disease management has been dramatically transformed by the advent of wearable technology.A groundbreaking systematic review, led by Packer, Debelle, Bailey, and colleagues, published in npj Parkinson’s Disease, illuminates how these devices are revolutionizing...
I wore the Whoop 5.0 - it gave me the best of Oura Ring, Apple Watch, and more
The health tracker brand has unveiled several medical-minded features, like ECG and blood pressure monitoring, for its Whoop 5.0 and Whoop MG launch.
The health tracker brand has unveiled several medical-minded features, like ECG and blood pressure monitoring, for its Whoop 5.0 and Whoop MG launch.
Digital biomarkers in early Alzheimer's disease from wearable or portable technology: a scoping review | medRxiv
medRxiv - The Preprint Server for Health Sciences...
Advancing perioperative care with digital applications and wearables | npj Digital Medicine
The rapid increase in real-time health information collected from wearable devices has allowed digital biomarkers to emerge as a promising tool to support perioperative care, including surgical prehabilitation, intra-operative guidance, and post-operative monitoring.
Biolinq raises $100M for intradermal glucose sensor for type 2 diabetes
The company's patch uses intradermal electrochemical sensors to monitor glucose levels and provide metabolic insights to individuals with type 2 diabetes not on insulin.
Scaling wearable foundation models
Wearable devices that measure physiological and behavioral signals have become commonplace. There is growing evidence that these devices can have a meaningful impact promoting healthy behaviors, detecting diseases, and improving the design and implementation of treatments.
Wearable devices that measure physiological and behavioral signals have become commonplace. There is growing evidence that these devices can have a meaningful impact promoting healthy behaviors, detecting diseases, and improving the design and implementation of treatments.
Samsung, Stanford Medicine collaborate on Galaxy Watch sleep apnea feature
The research initiative aims to enhance the Galaxy Watch’s sleep apnea detection feature and ultimately create AI-powered tools for proactive sleep health management.
The research initiative aims to enhance the Galaxy Watch’s sleep apnea detection feature and ultimately create AI-powered tools for proactive sleep health management.
The History, Evolution and Future of Continuous Glucose Monitoring (CGM)
Continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) systems have revolutionized diabetes management by delivering real-time, dynamic insights into blood glucose levels. This article provides a concise overview of the evolution of CGM technology, highlights emerging innovations...
Your next Apple Watch or smart ring could have a feature that transforms healthcare
From Apple and Samsung to Oura and Withings, the health tech space is changing to not only deliver insights into a person's health but also connect them with medical professionals.
From Apple and Samsung to Oura and Withings, the health tech space is changing to not only deliver insights into a person's health but also connect them with medical professionals