Welcome,

Each week, I filter through AI healthcare news across different medical specialties to bring you the latest updates, all in one place - saving you valuable time.

This newsletter started as daily, but to deliver even higher quality content, it's now becoming weekly.

🧠 NEUROLOGY

1. AI stroke brain scan readings found to be twice as accurate as current method: New AI software can read the brain scans of patients who have had a stroke to more accurately pinpoint when it happened and help doctors work out whether it can be successfully treated… read full article + research paper

2. Machine learning enhances brain-machine interface performance: Caltech researchers have developed a machine learning algorithm called FENet that can interpret degraded neural signals from aging brain implants, allowing patients to continue using their brain-machine interfaces (BMIs) even after the implants' performance declines… read full article + research paper

3. Brain age models offer insights into early development trajectories: A new study highlights how brain age models can track healthy infant development and reveal environmental influences. Using MRI data from over 600 term and preterm infants, researchers trained machine learning models to predict brain age and identify gaps between predicted and actual ages… read full article + research paper

4. Algorithm better identifies the origin of a seizure to guide more precise surgical interventions: A new tool developed by neural engineers at Duke University could help improve these surgical outcomes by enabling neurosurgeons to more accurately locate the areas in the brain where the seizures originate… read full article + research paper

🫀 CARDIOLOGY

1. Research study shows the cost-effectiveness of AI-enhanced heart failure screening: Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings suggest that this type of screening is also cost-effective in the long term, especially in outpatient settings… read full article + research paper

2. AI-enabled CT cardiac chamber volumetry predicts atrial fibrillation and stroke comparable to MRI: AI-CAC automated LA volumetry and CMRI LA volume measured by human experts similarly predicted incident AF and stroke over 15 years… read full research paper

3. Time-dependent ECG-AI prediction of fatal coronary heart disease: A retrospective study: Fatal coronary heart disease (FCHD) affects ~650,000 people yearly in the US. Electrocardiographic artificial intelligence (ECG-AI) models can predict adverse coronary events, yet their application to FCHD is understudied.… read full research paper

4. Royal Philips and Mayo Clinic have announced a new collaboration focused on improving cardiac MRI technology: Highlighting the important role MRI scans play in the day-to-day diagnosis and treatment of ischemic heart disease, the two companies plan on combining their AI capabilities to make MRI scanners easier to use and more efficient… read full article

🔬 ONCOLOGY

1. Algorithm analyses multiple mammograms to improve breast cancer risk prediction: Using up to three years of previous mammograms, the new method identified individuals at high risk of developing breast cancer 2.3 times more accurately than the standard method… read full article + research paper

2. Emerging trends in the AI in cancer market forecasted to 2029: The AI in Cancer Market was valued at USD 2.2 billion in 2024, and is projected to reach USD 6.3 billion by 2029, rising at a compound annual growth rate of 23.1%… read full article

🏥 OTHER RELEVANT NEWS

1. Every year, predictive AI saves 50 lives in two ERs at UC San Diego Health (article)

2. A new risk atop ECRI's annual health tech hazards list: AI (article)