AI Medical Compendium Journal:
Healthcare technology letters

Showing 1 to 10 of 14 articles

Generalizable stereo depth estimation with masked image modelling.

Healthcare technology letters
Generalizable and accurate stereo depth estimation is vital for 3D reconstruction, especially in surgery. Supervised learning methods obtain best performance however, limited ground truth data for surgical scenes limits generalizability. Self-supervi...

First-in-human real-time AI-assisted instrument deocclusion during augmented reality robotic surgery.

Healthcare technology letters
The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration of pre-operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusions caused b...

Cardiac disease risk prediction using machine learning algorithms.

Healthcare technology letters
Heart attack is a life-threatening condition which is mostly caused due to coronary disease resulting in death in human beings. Detecting the risk of heart diseases is one of the most important problems in medical science that can be prevented and tr...

Open your black box classifier.

Healthcare technology letters
A priority for machine learning in healthcare and other high stakes applications is to enable end-users to easily interpret individual predictions. This opinion piece outlines recent developments in interpretable classifiers and methods to open black...

Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules.

Healthcare technology letters
Kidney stones are a common urologic condition with a high amount of recurrence. Recurrence depends on a multitude of factors the incidence of precursors to kidney stones, plugs, and plaques. One method of characterising the stone precursors is endosc...

Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty.

Healthcare technology letters
Knee arthritis is a common joint disease that usually requires a total knee arthroplasty. There are multiple surgical variables that have a direct impact on the correct positioning of the implants, and an optimal combination of all these variables is...

Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration.

Healthcare technology letters
The authors present a deep learning algorithm for the automatic centroid localisation of out-of-plane US needle reflections to produce a semi-automatic ultrasound (US) probe calibration algorithm. A convolutional neural network was trained on a datas...

Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade.

Healthcare technology letters
Surgical instrument detection in robot-assisted surgery videos is an import vision component for these systems. Most of the current deep learning methods focus on single-tool detection and suffer from low detection speed. To address this, the authors...

Simultaneous shape and camera-projector parameter estimation for 3D endoscopic system using CNN-based grid-oneshot scan.

Healthcare technology letters
For effective in situ endoscopic diagnosis and treatment, measurement of polyp sizes is important. For this purpose, 3D endoscopic systems have been researched. Among such systems, an active stereo technique, which projects a special pattern wherein ...

Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset.

Healthcare technology letters
This Letter presents a stable polyp-scene classification method with low false positive (FP) detection. Precise automated polyp detection during colonoscopies is essential for preventing colon-cancer deaths. There is, therefore, a demand for a comput...