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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

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Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

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Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

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Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

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Tag: thyroid

SimonMed Launches Ultrasound+ AI Program for Enhanced Breast and Thyroid Cancer Detection

SimonMed Launches Ultrasound+ AI Program for Enhanced Breast and Thyroid Cancer Detection

October 30, 2025October 30, 2025HIT Consultant

Image Credit: SimonMed

What You Should Know: 

– SimonMed Imaging, one of the largest outpatient medical imaging providers and radiology practices in the United States, today announced the launch of Ultrasound+, an AI-enabled ultrasound program. 

– The…

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Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling

Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling

September 25, 2025September 25, 2025npj Digital Medicine

We developed a deep residual network (ResNet) framework to classify thyroid cancer differentiation states by integrating multiomic data and interpretability analysis. Our framework incorporated untargeted metabolomic, whole-exome sequencing, and transcriptomic data from 158 thyroid…

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Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting

Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting

July 23, 2025July 23, 2025npj Digital Medicine

The study assessed the feasibility of using synthetic data to fine-tune various open-source LLMs for free text to structured data conversation in radiology, comparing their performance with GPT models. A training set of 3000…

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A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

July 22, 2025July 23, 2025JMIR mHealth and uHealth

Background: The integration of wearable technology for heart rate monitoring offers potential advancements in managing hyperthyroidism by providing a feasible way to track thyroid function. Although digital health solutions are gaining traction in various…

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Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis

Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis

July 9, 2025July 10, 2025npj Digital Medicine

Lymph node micro-metastasis represents the initial stage of breast cancer spread or metastasis. However, the limited size of these hidden lesions restricts dataset expansion, presenting a significant challenge for manual examination and conventional deep…

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RadNet acquires See-Mode Technologies for access, revenue growth

RadNet acquires See-Mode Technologies for access, revenue growth

June 6, 2025June 6, 2025MobiHealthNews

Diagnostic imaging company RadNet, via DeepHealth, its wholly-owned subsidiary, has acquired AI ultrasound imaging company See-Mode Technologies.  See-Mode’s AI-powered ultrasound detection, characterization and reporting application for thyroid and breast will be integrated into RadNet’s DeepHealth…

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RadNet Acquires See-Mode Technologies to Bolster AI Capabilities in Ultrasound Imaging

RadNet Acquires See-Mode Technologies to Bolster AI Capabilities in Ultrasound Imaging

June 5, 2025June 6, 2025HIT Consultant

What You Should Know: 

– RadNet, Inc., a national leader in diagnostic imaging services acquires See-Mode Technologies PTE LTD (“See-Mode”), a global innovator in artificial intelligence (AI) for ultrasound imaging. Financial details of the acquisition were…

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Multimodal GPT model for assisting thyroid nodule diagnosis and management

Multimodal GPT model for assisting thyroid nodule diagnosis and management

May 4, 2025npj Digital Medicine

Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach to assessing thyroid nodule risks, traditional AI models lack transparency and interpretability. We developed a multimodal generative pre-trained transformer for thyroid…

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Thyroid cancer AI assistant developed in Hong Kong

Thyroid cancer AI assistant developed in Hong Kong

April 29, 2025MobiHealthNews

A large language model-powered AI assistant developed in Hong Kong has demonstrated high accuracy in thyroid cancer staging and risk classification.A team of researchers from the Li Ka Shing Faculty of Medicine of the…

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Minnesota Oncology specialist taps Mayo Clinic resource, transforms patient journey

Minnesota Oncology specialist taps Mayo Clinic resource, transforms patient journey

March 24, 2025Digital Health Frontier

Dr. Sandeep Jain explores available treatment for his patients providing them options that achieve the best possible outcome and quality of life. When a 55-year-old patient arrived at Minnesota Oncology with a rare and aggressive…

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