Development and multicenter validation of an explainable machine learning diagnostic criteria for pediatric abdominal sepsis
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02500-0Development and multicenter validation of an explainable machine learning diagnostic criteria for pediatric abdominal sepsis
A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02499-4A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification
Development and explainable AI-driven characterization of a prognostic model for haploidentical transplantation outcomes
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02377-zDevelopment and explainable AI-driven characterization of a prognostic model for haploidentical transplantation outcomes
Deep language model-based early recognition of out-of-hospital cardiac arrest from real-time emergency calls
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02498-5Deep language model-based early recognition of out-of-hospital cardiac arrest from real-time emergency calls
Virtual reality interventions for attention deficit/hyperactivity disorder: a systematic review
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02505-9Virtual reality interventions for attention deficit/hyperactivity disorder: a systematic review
Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02364-4Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction
npj Digital Medicine, Published online: 03 March 2026; doi:10.1038/s41746-026-02493-wMultimodal multi-instance learning for cardiopulmonary exercise testing performance prediction
BlueWind’s Revi urinary incontinence device demonstrates three-year efficacy
Medtech companies like BlueWind or Medtronic are increasingly investing in neuromodulation to treat urgency urinary incontinence (UUI).
The post BlueWind’s Revi urinary incontinence device demonstrates three-year efficacy appeared first on Medical Device Network.
Abbott secures FDA approval for CardioMEMS HERO device
Abbott has secured the US FDA approval for its next generation CardioMEMS HERO device, which is designed to support remote heart failure monitoring.
The post Abbott secures FDA approval for CardioMEMS HERO device appeared first on Medical Device Network.
ChatGPT as a therapist? New study reveals serious ethical risks
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with peer counselors and licensed psychologists, researchers uncovered 15 distinct ethical risks — from m
FDA grants PMA to Synergy’s cervical disc
Synergy Spine Solutions has received PMA from the FDA for the Synergy Disc, expanding cervical disc replacement options for US patients.
The post FDA grants PMA to Synergy’s cervical disc appeared first on Medical Device Network.
Ambient scribe in general practice: a multi-perspective before-after longitudinal mixed-methods study
npj Digital Medicine, Published online: 02 March 2026; doi:10.1038/s41746-026-02454-3Ambient scribe in general practice: a multi-perspective before-after longitudinal mixed-methods study
A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models
npj Digital Medicine, Published online: 02 March 2026; doi:10.1038/s41746-026-02480-1A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models
Accent related errors in clinical speech transcription and a LLM-based remedy
npj Digital Medicine, Published online: 02 March 2026; doi:10.1038/s41746-026-02490-zAccent related errors in clinical speech transcription and a LLM-based remedy
Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis
npj Digital Medicine, Published online: 28 February 2026; doi:10.1038/s41746-026-02486-9Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis
Thermo Fisher launches LDT to support tailored immunosuppressant dosing
Thermo Fisher’s LDT offers clinicians’ deeper insight into individual immunosuppressant dosing regimens for organ transplant patients.
The post Thermo Fisher launches LDT to support tailored immunosuppressant dosing appeared first on Medical Device Network.
Ottobock invests $5m in Blue Arbor for prosthetic control advancement
Ottobock's investment follows a first-in-human implantation of Blue Arbor's neuromuscular interface system using one of the German company's prosthetics.
The post Ottobock invests $5m in Blue Arbor for prosthetic control advancement appeared first on Medical Device Network.
Academia Sinica and NTU Hospital develop AI model for pancreatic cancer
Academia Sinica and NTU Hospital have jointly developed PanMETAI, an AI metabolomics platform for pancreatic cancer detection in early stages.
The post Academia Sinica and NTU Hospital develop AI model for pancreatic cancer appeared first on Medical Device Network.
ENDRA reports favourable data from Taeus Liver device study in MASLD
ENDRA Life Sciences has reported results from a clinical study showing the Taeus Liver device’s high measurement consistency in MASLD.
The post ENDRA reports favourable data from Taeus Liver device study in MASLD appeared first on Medical Device Network.
Methodological and regulatory considerations for causal AI in drug development
npj Digital Medicine, Published online: 27 February 2026; doi:10.1038/s41746-026-02477-wMethodological and regulatory considerations for causal AI in drug development