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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

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
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

January 31, 2026January 31, 2026
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Tag: Learning

CW Innovation and DigitalHealth.London announce the third cohort of the Horizon Fellowship - DigitalHealth.London

CW Innovation and DigitalHealth.London announce the third cohort of the Horizon Fellowship – DigitalHealth.London

October 3, 2024October 7, 2024DigitalHealth.London

Today, DigitalHealth.London and CW Innovation (the flagship innovation programme run jointly by CW+ and Chelsea and Westminster Hospital NHS Foundation Trust) welcome the 18 new Fellows of the third cohort of the Horizon Fellowship.Building…

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A scoping review of reporting gaps in FDA-approved AI medical devices

A scoping review of reporting gaps in FDA-approved AI medical devices

October 3, 2024October 3, 2024npj Digital Medicine

Machine learning and artificial intelligence (AI/ML) models in healthcare may exacerbate health biases. Regulatory oversight is critical in evaluating the safety and effectiveness of AI/ML devices in clinical settings. We conducted a scoping review…

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Machine learning explains response variability of deep brain stimulation on Parkinson’s disease quality of life

Machine learning explains response variability of deep brain stimulation on Parkinson’s disease quality of life

October 2, 2024October 2, 2024npj Digital Medicine

Improving health-related quality of life (QoL) is crucial for managing Parkinson’s disease. However, QoL outcomes after deep brain stimulation (DBS) of the subthalamic nucleus (STN) vary considerably. Current approaches lack integration of demographic, patient-reported,…

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Nym Rakes In $47M for Autonomous Coding Engine  - MedCity News

Nym Rakes In $47M for Autonomous Coding Engine  – MedCity News

October 1, 2024October 2, 2024MedCity News

Medical coding is an unavoidable part of healthcare delivery. Coding is essential for accurate documentation, billing and reimbursement in healthcare — yet many providers still rely on manual coding practices that eat up staff…

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“Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning”

“Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning”

October 1, 2024October 2, 2024npj Digital Medicine

Digital medical devices (DMDs) present unique opportunities in their regulation and reimbursement. A dynamic landscape of DMD assessment frameworks is emerging within the European Union, with five clusters of prevailing approaches identified. Despite notable…

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Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models

Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models

September 30, 2024October 1, 2024npj Digital Medicine

Identifying and preventing patients who are not likely to benefit long-term from total knee arthroplasty (TKA) would decrease healthcare expenditure significantly. We trained machine learning (ML) models (image-only, clinical-data only, and multimodal) among 5720…

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DHSC to review clinical risk standards for digital health tech

DHSC to review clinical risk standards for digital health tech

September 30, 2024September 30, 2024Digital Health

The Department of Health and Social Care will launch a consultation on the clinical risk standards for the use of digital health technologies in 2024/2025, the minister for patient safety has confirmed.
In a letter…

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Comparison of NLP machine learning models with human physicians for ASA Physical Status classification

Comparison of NLP machine learning models with human physicians for ASA Physical Status classification

September 28, 2024September 28, 2024npj Digital Medicine

The American Society of Anesthesiologist’s Physical Status (ASA-PS) classification system assesses comorbidities before sedation and analgesia, but inconsistencies among raters have hindered its objective use. This study aimed to develop natural language processing (NLP)…

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KLAS Arch Collaborative Learning Summit 2024

KLAS Arch Collaborative Learning Summit 2024

September 28, 2024September 28, 2024KLAS Research

To promote collaboration between healthcare organizations, healthcare IT vendors, and professional services firms and support continual improvement of the clinician EHR experience, KLAS hosted the seventh annual Arch Collaborative Learning Summit in July 2024….

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Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs

Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs

September 28, 2024September 29, 2024npj Digital Medicine

Personal and family history of suicidal thoughts and behaviors (PSH and FSH, respectively) are significant risk factors associated with suicides. Research is limited in automatic identification of such data from clinical notes in Electronic…

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Developments in medical technology have long been confined to procedural or pharmaceutical advances, while neglecting a most basic and essential component of medicine: patient information management.

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