Research

Software Created from 'Building Blocks' could Incorporate AI, Supporting Medical Staff with Workflow and Disease Management

New 'building-block' approaches to the creation of digital tools which include data and artificial intelligence (AI) could play a key role in improving the running of hospital wards and disease management, according to the findings of new research.

The study, by Dr Robert Free at the National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre (BRC), suggests that using a package of digital 'building-blocks' to

Collective Intelligence can Help Reduce Medical Misdiagnoses

An estimated 250,000 people die from preventable medical errors in the U.S. each year. Many of these errors originate during the diagnostic process. A powerful way to increase diagnostic accuracy is to combine the diagnoses of multiple diagnosticians into a collective solution. However, there has been a dearth of methods for aggregating independent diagnoses in general medical diagnostics.

New Study Suggests ECG-AI can Detect Cardiovascular Disease Risks Sooner

Artificial intelligence (AI) from patient electrocardiograms (ECGs) may be an innovative solution to enhance heart disease risk assessment. Atherosclerotic cardiovascular disease - arteries narrowed or blocked by the accumulation of fatty plaques - is the leading global cause of death and is often driven by coronary artery disease.

Practicing Mindfulness with an App may Improve Children's Mental Health

Many studies have found that practicing mindfulness - defined as cultivating an open-minded attention to the present moment - has benefits for children. Children who receive mindfulness training at school have demonstrated improvements in attention and behavior, as well as greater mental health.

Skin Cancer Diagnoses Using AI Are as Reliable as those Made by Medical Experts

Artificial intelligence (AI) is already widely used in medical diagnostics. An Austrian-Australian research team led by dermatologist Harald Kittler from MedUni Vienna investigated the extent to which diagnosis and therapy of pigmented skin lesions benefit from it in a realistic clinical scenario.

ChatGPT may be Better than Doctors at Evidence-Based Management of Clinical Depression

ChatGPT, the AI language model capable of mirroring human conversation, may be better than a doctor at following recognised treatment standards for clinical depression, and without any of the gender or social class biases sometimes seen in the primary care doctor-patient relationship, finds research published in the open access journal Family Medicine and Community Health.

Can ChatGPT Diagnose Your Condition? Not yet

ChatGPT, a sophisticated chatbot driven by artificial intelligence (AI) technology, has been increasingly used in health care contexts, one of which is assisting patients in self-diagnosing before seeking medical help. Although it seems very useful at first glance, AI may cause more harm than good to the patient if it is not accurate in its diagnosis and recommendations.

Research News

Software Created from 'Building Blocks' could Incorporate AI, Supporting Medical Staff with Workflow and Disease Management

Collective Intelligence can Help Reduce Medical Misdiagnoses

New Study Suggests ECG-AI can Detect Cardiovascular Disease Risks Sooner

Practicing Mindfulness with an App may Improve Children's Mental Health

Skin Cancer Diagnoses Using AI Are as Reliable as those Made by Medical Experts

ChatGPT may be Better than Doctors at Evidence-Based Management of Clinical Depression

Can ChatGPT Diagnose Your Condition? Not yet

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