ARTIFICIAL INTELLIGENCE
EARLY LUNG CANCER DETECTION WITH LUNGAI
When it comes to cancer care , emerging technologies are becoming increasingly adept at carrying out life-saving work alongside researchers and healthcare professionals . The difference is that it can do it quicker and more efficiently .
For example , using traditional methods to discern suspicious results can make recognising cancer challenging . However , employing algorithms to develop computer-assisted programs with enhanced detection capabilities has become increasingly recognised in the medical industry .
These technologies identify cancer in CT scans better than most radiologists or pathologists and can have a significant impact in spotting some of the hardest cancers to diagnose , early .
According to scientist Ewelina Bębas , researchers have achieved a 97 % accuracy rate in diagnosing common types of lung cancer by Machine Learning ( ML ) analysis .
This is revolutionary , as lung cancer is one of the leading causes of cancer deaths worldwide . Despite all efforts to stop smoking addictions – the primary cause of lung cancer – nearly 35,000 people die from the disease each year .
According to Cancer Research UK , that ’ s around one in five ( 21 %) of all cancer deaths in the UK .
LungLife AI – a US-based medical technology company that specialises in clinical diagnostic solutions for lung cancer – claims that around 80 % of lung cancer cases in the UK are diagnosed late but it is looking to change all that .
Working with Persistent to develop AI-driven algorithms has played an instrumental role in assisting LungLife AI ’ s AI-enabled early lung cancer detection solution , LungAI .
The technology has reduced analysis time by 70 %, accelerating LungLife AI ’ s efforts to greatly reduce the impact of lung cancer .
Rajasekar Sukumar , Senior Vice President and Head of Europe at Persistent Systems , said : “ Ultimately , with thoughtful integration emerging technologies like LungAI can play an increasing role in every step of cancer care , from diagnosis to monitoring , and even posttreatment support .
“ AI also offers key benefits to healthcare professionals such as optimising processes and reducing wasted time – boosting productivity without wholesale automation of human roles .” �
52 www . intelligenthealth . tech