AI System Helps Doctors Identify Patients at Risk for Suicide

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts in routine medical settings.

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AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is published in Nature Medicine.

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Smartphone App can Help Reduce Opioid Use and Keep Patients in Treatment

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a new study by The University of Texas Health Science Center at San Antonio (UT Health San Antonio) shows.

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AI's New Move: Transforming Skin Cancer Identification

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification. This innovative approach, which utilizes a weighted ensemble of transfer learning models and test time augmentation (TTA), promises to significantly improve the accuracy of skin cancer diagnosis.

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Leveraging AI to Assist Clinicians with Physical Exams

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area. While previous research has investigated using large language models (LLMs) as tools to aid in providing diagnoses, their use in physical exams remains untapped.

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Almost All Leading AI Chatbots Show Signs of Cognitive Decline

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas issue of The BMJ.

The results also show that "older" versions of chatbots, like older patients, tend to perform worse on the tests. The authors say these findings "challenge the assumption that artificial intelligence will soon replace human doctors."

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New Recommendations to Increase Transparency and Tackle Potential Bias in Medical AI Technologies

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed.

A new set of recommendations published in The Lancet Digital Health and NEJM AI aims to help improve the way datasets are used to build Artificial intelligence (AI) health technologies and reduce the risk of potential AI bias.

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Digital Health Unveils Draft Programme for Rewired25

18 - 19 March 2025, Birmingham, UK.
Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next year.

With a new government, new policy direction and significant new investment, making more effective use of digital and data to improve productivity, patient safety and high quality care will underpin the government’s 10 year health plan.

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New Study Reveals Why Organisations are Reluctant to Adopt Blockchain

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey.

Blockchain is a secure digital ledger that records and verifies transactions across many computers in a way that's hard to alter.

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Emotional Cognition Analysis Enables Near-Perfect Parkinson's Detection

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain responses to emotional situations like watching video clips or images. The findings offer an objective way to diagnose the debilitating movement disorder, instead of relying on clinical expertise and patient self-assessments, potentially enhancing treatment options and overall well-being for those affected by Parkinson's disease.

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