How AI Is Disrupting Medicine

[Free]

Wasn't it the word raspberry?

It was both.

 

[Cristiano]

It was both.

On a related note, sample image created with ChatGPT Images 2.0:

 

[Free]

It's like ChatGPT is trying to mock me. Won't work...

 

[Free]

The medical journal Nature Medicine published an editorial on the uses of A.I. in medicine. Spoiler warning: They're not on board the hype train.

Show us the evidence for the value of medical AI

The adoption of artificial intelligence (AI)-powered tools is accelerating rapidly across all layers of healthcare systems. Predictive models, decision support tools and generative tools have entered clinical environments1, and large language models are increasingly being used by the general public to seek medical information and advice2. Yet evidence that AI tools create value for patients, providers or health systems remains scarce.

Obviously they're jealous of A.I.'s success.

 

[Free]

lol

Character.AI sued over chatbot that claims to be a real doctor with a license

State says chatbot claimed to practice medicine, gave invalid license number.

arstechnica.com

 

[Free]

Surprise. Surprise.

AI systems used by Ontario doctors hallucinate, auditor general finds | Globalnews.ca

Auditor General Shelley Spence will present her reports at 11 a.m., according to her office, which is also when she will answer questions about them.

globalnews.ca

An emerging artificial intelligence tool used by family doctors to take notes during an examination is at risk of providing physicians with inaccurate information and hallucinations, Ontario’s auditor general has found, raising questions about the ongoing use of the software in the health-care system.

In 2023, Ontario Health began introducing AI Scribe programs to the broader health-care sector, allowing physicians, family doctors, nurse practitioners and therapists to adopt the technology.

Once a patient has authorized its use, AI Scribe listens to medical examinations and compiles a “SOAP” note that intertwines subjective and objective information provided by the patient and physician. The resulting information is compiled into four areas — subjective, objective, assessment and treatment plan — making up the acronym SOAP.

While the tool was intended to relieve the note-taking pressures health-care workers constantly faced, the auditor general found the systems could be inaccurate and unreliable.

 

[Cristiano]

7 ways AI is transforming healthcare

 

[Free]

The disruption continues.

Lawsuit alleges Mayo Clinic cuts corners with AI, putting patient care and privacy at risk

A former Mayo Clinic official is suing her former employer, alleging she was demoted and then fired after blowing the whistle on how the hospital’s rush to incorporate AI into their operations put patient care and privacy at risk.

www.mprnews.org

As medical behemoth Mayo Clinic continues to lead the way in incorporating artificial intelligence into clinical settings, a new lawsuit alleges that staff at the world-renowned hospital system had been skirting AI compliance rules and masking concerning error rates.

The civil action comes from former Mayo Clinic research director and AI compliance lead Traci Tamiko Eto, who sued her employer this week in federal court, saying she was retaliated against and fired after she blew the whistle on how the hospital’s rush to incorporate AI into their operations put patient care and privacy at risk.

Artur Davis, Eto’s attorney and a partner with the national law firm HKM Employment Attorneys LLC, told MPR News that this is a significant case, especially since it concerns the intimate and confidential patient data hospitals like Mayo Clinic have in their possession.

“If [people] care about the notion that AI has to be handled in a responsible manner, with integrity, and there have to be rules and guidelines, this is a case that should matter to you,” Davis said.

 

[Free]

Very indirectly connected to medicine.

Rotherham patients say AI GP receptionist can't understand them

Healthwatch says the EMMA system can't understand some patients in Rotherham.

www.bbc.com

Patients in Rotherham are struggling with a new artificial intelligence GP receptionist because it cannot understand the Yorkshire accent, according to a health watchdog.

Some surgeries are triaging patients using a nationwide AI system called EMMA to avoid long wait times on the phone.

Healthwatch Rotherham said some patients could not get the system to understand them as it does not respond well to variations in speech such as regional accents or speech impediments.

QuantumLoopAI, the company behind the system, said EMMA was designed to understand a range of dialects and patients can speak to a human at any time.

I'm sure that's "true," but speaking to a human is exactly what these systems are designed to try and avoid.

 

[Veritable Quandry]

 

[Argent Stonecutter]

 

[Free]

Veritable! Argent! Those are last generation technology failures. This is about new generation technology failures!

 

[Veritable Quandry]

Veritable! Argent! Those are last generation technology failures. This is about new generation technology failures!

These are included in the training data. All of our old failures have been plagiarized into new failures.

 

[Innula Zenovka]

Very indirectly connected to medicine.

Rotherham patients say AI GP receptionist can't understand them

Healthwatch says the EMMA system can't understand some patients in Rotherham.

www.bbc.com

I'm sure that's "true," but speaking to a human is exactly what these systems are designed to try and avoid.

A lot of Brits who aren't from that part of the world struggle to understand strong South Yorkshire and North Midlands accents and dialects, too.

 

[Veritable Quandry]

I had a roommate from Birmingham once. Spoke perfect University English until she was drunk. Then the Brum came out.

 

[Kamilah Hauptmann]

 

[Innula Zenovka]

I had a roommate from Birmingham once. Spoke perfect University English until she was drunk. Then the Brum came out.

If you know English accents, you can tell from mine both that I’m posh and that I’m from the north of England.

But if you overheard a conversation between me and someone from one of the outlying districts near where I grew up — or even from some of the more working-class parts of my home city — you’d probably understand me perfectly well while struggling to follow the other person at all.

Years ago, I worked for a firm back home where one legal-aid client in particular would regularly phone up in distress, demanding to be rescued from whatever mess she’d got herself into. Whenever that happened, they had to fetch either me or one of the receptionists. We were the only two people in the office who stood much chance of understanding her once she was upset — and who could switch into something sufficiently close to the way she spoke that she could tell we understood both what she was saying and why she was upset.