Medical AI brings together our reporting on machine learning for clinical and biomedical problems, from diagnosis and prognosis to medical image analysis and decision support. Because mistakes in this domain carry a human cost, we pay close attention to evaluation, calibration, uncertainty, and the gap between benchmark numbers and bedside reliability. Expect grounded explainers of recent research rather than uncritical product announcements.
The blood vessels at the back of the eye tell a quiet story about a person’s health, and in people with severe myopia that story often unfolds far out in the periphery, well beyond where a standard retinal scan looks.…
PG-MAMBA: A Widefield OCTA Dataset and a Polar Mamba Vessel Network Read More »
Some hearts have one working pump where the textbook says there should be two. Children born with single ventricle physiology grow up with a heart that mixes oxygen rich and oxygen poor blood, and a chamber that was supposed to…
SV-Cine Segments Single Ventricle Hearts From Cine MRI Read More »
A segmentation model can score a near perfect Dice number and still be wrong in the one place a hematologist cares about. Draw the outline of a white blood cell a few pixels too wide and the overlap metric barely…
RABR-Net Refines Cell Boundaries That Dice Scores Miss Read More »
Teaching a model to outline a skin lesion or a polyp usually means paying experts to trace thousands of images by hand, which is slow and expensive. The obvious shortcut is to label a few and let the model learn…
SAUF-Net Separates Lesion Shape From Its Appearance Read More »
A haematologist bent over a microscope is doing something quietly heroic. From a smear of blood, they pick out the one cell in a thousand that looks wrong, the immature blast that can be the first sign of leukaemia, and…
CytoDiffusion: A Generative Classifier for Blood Cell Morphology Read More »
A tube of blood holds a faint rumour of what is happening deep inside the body. Among the debris floating in plasma are fragments of RNA shed by cells, and when a tumour is growing somewhere, it leaks its own…
Exai-1: A Cell Free RNA Foundation Model for Liquid Biopsy Read More »
Magnetic compression anastomosis, MCA for short, is a minimally invasive alternative to conventional surgical reconnection of digestive tissue. Instead of stitching or stapling two ends of tissue together, surgeons place a magnet on each side of the gap using flexible…
A Magnetic HUD System Guides Compression Anastomosis Surgery Read More »
This article explains a published computer science study on artificial intelligence and digitized pathology images. It is not medical advice, it is not a diagnosis, and it is not a treatment recommendation. Nothing here should be used to make decisions…
Beyond Amnesia: Why Continual Learning is the Next Frontier for AI Pathology Read More »
Before an oncologist chooses a cancer drug, they are making an educated guess. Will this patient’s tumour respond, or will the treatment burn precious weeks while the cancer keeps growing? The truest answer would come from watching, inside the patient’s…
XPert: A Transformer That Predicts How Drugs Change Cells Read More »
Start with the scale of the problem, because it is what makes this work matter. Bacteria evolve, and every time we deploy an antibiotic widely, we hand them a reason to develop resistance to it. Over decades this has hollowed…
ApexGO Optimizes Peptide Antibiotics With Generative AI Read More »