dataset Archives - Page 11 of 19

Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology

October 26, 2024October 27, 2024npj Digital Medicine

Periprosthetic joint infection (PJI) is a severe complication after joint replacement surgery that demands precise diagnosis for effective treatment. We enhanced PJI diagnostic accuracy through three steps: (1) developing a self-supervised PJI model with…

Detecting clinical medication errors with AI enabled wearable cameras

October 22, 2024October 22, 2024npj Digital Medicine

Drug-related errors are a leading cause of preventable patient harm in the clinical setting. We present the first wearable camera system to automatically detect potential errors, prior to medication delivery. We demonstrate that using…

Evaluation and mitigation of cognitive biases in medical language models

October 21, 2024October 22, 2024npj Digital Medicine

Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient–doctor interactions…

Privacy-preserving large language models for structured medical information retrieval

September 20, 2024September 21, 2024npj Digital Medicine

Most clinical information is encoded as free text, not accessible for quantitative analysis. This study presents an open-source pipeline using the local large language model (LLM) “Llama 2” to extract quantitative information from clinical…

Leveraging ‘explainable AI’ to resolve Japan’s growing stroke threat

September 18, 2024September 20, 2024MobiHealthNews

About a million possible cases of atrial fibrillation, a known risk for stroke, go undetected in Japan. A local startup is introducing an innovative AI targeting this growing danger.Founded in 2019, Cardio Intelligence develops…

Closing the gap between open source and commercial large language models for medical evidence summarization

September 9, 2024September 10, 2024npj Digital Medicine

Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and…

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

September 7, 2024September 7, 2024npj Digital Medicine

Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data. However, concealed systematic biases can…

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

September 5, 2024September 5, 2024npj Digital Medicine

Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated…

Google’s AI Model Listens to Your Cough to Detect Disease

August 20, 2024August 21, 2024HIT Consultant

[embedded content]

What You Should Know:

– Google Research has unveiled a groundbreaking advancement in healthcare technology with the introduction of HeAR, a bioacoustic foundation model designed to analyze human sounds and identify potential health issues.

–…

Korea expands research access to big cancer data and more briefs

August 9, 2024August 9, 2024Healthcare IT news

Korea opens access to cancer data of 2 million patientsResearchers in South Korea can now access an expanded big-data repository on 2.26 million cancer patients.
The Korean Ministry of Health and Welfare (MOHW), together with…

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

Weekly Roundup – January 31, 2026

Embedding clinical intelligence to help close care gaps

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

Tag: dataset

Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology

Detecting clinical medication errors with AI enabled wearable cameras

Evaluation and mitigation of cognitive biases in medical language models

Privacy-preserving large language models for structured medical information retrieval

Leveraging ‘explainable AI’ to resolve Japan’s growing stroke threat

Closing the gap between open source and commercial large language models for medical evidence summarization

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

Google’s AI Model Listens to Your Cough to Detect Disease

Korea expands research access to big cancer data and more briefs

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

What impact has healow had on your organization and the patients’ experience?

Weekly Roundup – January 31, 2026

Embedding clinical intelligence to help close care gaps

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

Meditech founder Neil Pappalardo dies at 83

The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

Decagon raises $250M for AI agents, triples valuation to $4.5B

Successful AI adoption requires meaningful change management

The Safe AI in Medicaid Alliance can help providers hone their tactics

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