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How to Interpret Medical Research

How to Interpret Medical Research

June 1, 2025June 1, 2025
A general framework for governing marketed AI/ML medical devices

A general framework for governing marketed AI/ML medical devices

June 1, 2025June 1, 2025
Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

May 31, 2025May 31, 2025
From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

May 31, 2025May 31, 2025
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Tag: Convolutional Neural Networks

Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG

Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG

January 8, 2025January 9, 2025npj Digital Medicine

Neonatal seizures require urgent treatment, but often go undetected without expert EEG monitoring. We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. A convolutional neural network was…

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Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data

May 14, 2024May 14, 2024npj Digital Medicine

Healthcare datasets are becoming larger and more complex, necessitating the development of accurate and generalizable AI models for medical applications. Unstructured datasets, including medical imaging, electrocardiograms, and natural language data, are gaining attention with…

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Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

May 3, 2024May 3, 2024npj Digital Medicine

Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited….

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Deep Learning for Medical Imaging: Use Cases and Network Types | Healthcare IT Today

Deep Learning for Medical Imaging: Use Cases and Network Types | Healthcare IT Today

August 18, 2023August 19, 2023Healthcare IT Today

The following is a guest article by Mariia Kovalova, Healthcare Technology Researcher at Itransition
Medical imaging is crucial for various medical applications, serving diagnostic and treatment purposes. According to Grand View Research, the medical image…

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You have to understand what are they worried about, what are their fears, what are they trying to do? If we don’t engage with them that way, it doesn’t matter what technology we use.

Roy Rossin

Recent Posts

  • How to Interpret Medical Research

    How to Interpret Medical Research

    June 1, 2025June 1, 2025Comments Off on How to Interpret Medical Research
  • A general framework for governing marketed AI/ML medical devices

    A general framework for governing marketed AI/ML medical devices

    June 1, 2025June 1, 2025Comments Off on A general framework for governing marketed AI/ML medical devices
  • Helping People Live Healthier: An Interview with RELIVE Health's Gina Iacovone

    Helping People Live Healthier: An Interview with RELIVE Health’s Gina Iacovone

    May 31, 2025June 1, 2025Comments Off on Helping People Live Healthier: An Interview with RELIVE Health’s Gina Iacovone
  • From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

    From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

    May 31, 2025May 31, 2025Comments Off on From trial data to personalized medicine: a validated framework with an application to Crohn’s disease
  • Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

    Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

    May 31, 2025May 31, 2025Comments Off on Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention
  • Global EHR Satisfaction 2025

    Global EHR Satisfaction 2025

    May 31, 2025May 31, 2025Comments Off on Global EHR Satisfaction 2025
  • Harnessing Hormonal Balance for a Healthier Life and Wellbeing

    Harnessing Hormonal Balance for a Healthier Life and Wellbeing

    May 31, 2025May 31, 2025Comments Off on Harnessing Hormonal Balance for a Healthier Life and Wellbeing
  • The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

    The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

    May 31, 2025May 31, 2025Comments Off on The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial
  • Q&A: Building nurses’ trust in AI through education

    Q&A: Building nurses’ trust in AI through education

    May 30, 2025May 31, 2025Comments Off on Q&A: Building nurses’ trust in AI through education
  • Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

    Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

    May 30, 2025May 31, 2025Comments Off on Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

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