AI Medical Compendium Journal:
Annual review of biomedical engineering

Showing 1 to 10 of 12 articles

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.

Annual review of biomedical engineering
Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies...

Medical Microrobots.

Annual review of biomedical engineering
Scientists around the world have long aimed to produce miniature robots that can be controlled inside the human body to aid doctors in identifying and treating diseases. Such microrobots hold the potential to access hard-to-reach areas of the body th...

Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities.

Annual review of biomedical engineering
Assistive technologies (AT) enable people with disabilities to perform activities of daily living more independently, have greater access to community and healthcare services, and be more productive performing educational and/or employment tasks. Int...

Predictive Models for Health Deterioration: Understanding Disease Pathways for Personalized Medicine.

Annual review of biomedical engineering
Artificial intelligence (AI) and machine learning (ML) methods are currently widely employed in medicine and healthcare. A PubMed search returns more than 100,000 articles on these topics published between 2018 and 2022 alone. Notwithstanding several...

Deep Learning and Medical Image Analysis for COVID-19 Diagnosis and Prediction.

Annual review of biomedical engineering
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to health-care organizations worldwide. To combat the global crisis, the use of thoracic imaging has played a major role in the diagnosis, prediction, and management of ...

Quantitative Molecular Positron Emission Tomography Imaging Using Advanced Deep Learning Techniques.

Annual review of biomedical engineering
The widespread availability of high-performance computing and the popularity of artificial intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm have stimulated the development of many applications involving the use...

Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation.

Annual review of biomedical engineering
Medical robotics is poised to transform all aspects of medicine-from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provide...

Deep Learning in Medical Image Analysis.

Annual review of biomedical engineering
This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the ...

Electronic Skin: Opportunities and Challenges in Convergence with Machine Learning.

Annual review of biomedical engineering
Recent advancements in soft electronic skin (e-skin) have led to the development of human-like devices that reproduce the skin's functions and physical attributes. These devices are being explored for applications in robotic prostheses as well as for...

Biofabrication of Living Actuators.

Annual review of biomedical engineering
The impact of tissue engineering has extended beyond a traditional focus in medicine to the rapidly growing realm of biohybrid robotics. Leveraging living actuators as functional components in machines has been a central focus of this field, generati...