Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Refined MRI techniques pinpoint key treatment spot for Parkinson’s disease

Diffusion tractography can help target the specific brain structures neuroradiologists are looking for, with fewer adverse effects.

AI guides trauma surgeons in real time

A developer of software used in orthopedic surgery has demonstrated the utility of AI-aided fluoroscopy guidance for operating on orthopedic trauma patients.

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UK artificial intelligence imaging analysis firm raises $10M from Mayo Clinic and others

Barcelona health tech investment firm Nina Capital and Oxford Sciences Innovation also contributed during this round of funding, Ultromics announced. 

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Hologram tech helps interventional radiologists treat liver tumors with confidence

Doctors involved in the study, who presented during the Society of Interventional Radiology's virtual meeting, say the augmented-reality platform can help physicians and patients better understand their treatment.

Holograms speed tumor treatment, boost interventionalist confidence

Researchers have successfully piloted the use of augmented reality for guiding tumor ablation, completing the treatment in five patients with cancers of the liver.

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3D mapping algorithm reads knee MRIs for new arthritis treatments

The technique—known as 3D cartilage surface mapping—detects subtle changes in a person’s knee joint that cannot be picked up via conventional x-ray or MRI.

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Top companies leveraging AI in drug discovery

Higher research and development costs are driving a need for pharmaceutical companies to leverage AI to optimize the drug discovery process––and some companies are doing so better than others.

Pandemic uncovering AI’s potential for psychiatric epidemiology

The COVID crisis has driven mental-health issues into the medical matrix at the population level. AI may be able to help.