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Innovation in healthcare: A hacker's dream and CISO's nightmare?

Help Net Securityby @helpnetsecurity ()3 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Opinion piece argues AI could transform healthcare but warns the sector's surging cyber threats demand security-by-design and workforce awareness.

The commentary highlights AI's healthcare potential, citing Stanford's deep learning algorithm matching dermatologists at skin cancer detection and a UK review claiming full automation could save the NHS nearly £13bn annually. It notes healthcare experienced the largest year-over-year increase in cyber attacks, including targeting by state-sponsored groups such as Hidden Cobra. The piece urges organizations to build security in from the outset, hire cyber talent, address insider threats, and protect patient trust when rolling out AI.

Key facts
  • Stanford researchers trained a deep learning algorithm matching dermatologists' accuracy at identifying skin cancer.
  • A UK review claims full automation of health services could save the NHS almost £13bn per year.
  • Healthcare saw the largest cyber attack increase of any industry, with threats per second doubling.
  • State-sponsored group Hidden Cobra is cited as an emerging threat to healthcare organizations.
  • Authors recommend security-by-design, external cyber talent, and workforce awareness for AI adoption.
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From the original article

3 min read at helpnetsecurity.com

It’s hard not to be excited about artificial intelligence and machine learning in pure technology terms, but applying these innovations to the healthcare sector has the potential to do truly great things for humanity. Just imagine if these technologies could help us to diagnose and treat some of the world’s most pressing health crises. Ground-breaking work in the field of healthcare AI is already being undertaken.

Help Net Security

By @helpnetsecurity · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.