
Machine learning makes its mark on medical imaging and therapy
Attendees at the APS March Meeting heard about some of the latest medical applications of artificial intelligence and machine learning
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I am an online editor for Physics World. I write and commission articles for the medical physics, and biophysics and bioengineering sections of the website. I did a PhD in molecular physics at Leeds University, followed by a postdoc in the medical physics department. I joined IOP Publishing in 1999, and in 2008 I became editor of the website medicalphysicsweb. Outside of work, I enjoy travelling, as well as singing and dancing in musical theatre productions.
Attendees at the APS March Meeting heard about some of the latest medical applications of artificial intelligence and machine learning
With the acquisition of VALO Innovations in the final quarter of last year, HÜBNER Photonics has added ultrashort-pulse fibre lasers to an already diverse product offering
Proof-of-concept demonstration that ultrasound can stimulate retinal neurons provides a step towards a non-invasive retinal prosthesis to treat blindness
A deep learning model could reduce reporting times for abnormal head MRI scans by flagging clinically relevant abnormalities at the time of imaging
The STEEV phantom from CIRS gives medical physicists an end-to-end QA solution for commissioning and treatment verification of their stereotactic radiosurgery systems
Novel nanoplatform uses a five-minute dose of near-infrared light to destroy tumours with no toxic side effects
Photobiomodulation lowered the severity of skin damage from brachytherapy and accelerated wound healing by up to 50%
A non-invasive graphene-based sensor detects brain waves with high sensitivity and reliability
The use of deep learning to analyse retinal images could identify individuals at risk of a future heart attack
Independent QA not only ensures delivery of intended therapeutic dose, it drives continuous improvement in patient safety by rooting out systematic machine and workflow errors