A new wave of neural artificial intelligence is rapidly changing medicine and healthcare. The changes affect everyone from clinicians, predominantly via rapid, accurate image interpretation, over health systems, by improving workflow and the potential for reducing medical errors, and also patients, by enabling them to get individualised therapies to promote health.
Theresa Roland leads the healthcare and medicine group, which optimizes the intensive care supply with AIs and further raises the quality of patient care. Together with a prostheses manufacturer the research team has improved the robustness of active hand prostheses. The team of scientists has developed AIs for medical images that outperform human experts and make them understandable for practitioners.
Currently we are investigating the potential of machine learning for predicting Covid-19 from blood laboratories.
recent publications in AI in Healthcare:
- MIDLLearning Retinal Representations from Multi-modal Imaging via Contrastive Pre-trainingIn Medical Imaging with Deep Learning, short paper track 2023
- medRxivMachine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain ShiftsmedRxiv preprint doi:10.1101/2021.04.06.21254997 2021
- arXivLarge-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks2020
- Detecting Cutaneous Basal Cell Carcinomas in Ultra-High Resolution and Weakly Labelled Histopathological Images2019
- ICLRHuman-Level Protein Localization with Convolutional Neural NetworksIn 2018