TTA’s May kickoff: is Oracle back from debt brink or in deeper? Deep learning AI vs. LLMs, chatbots take a whack with a PA lawsuit and AMA’s Congress appeal; ad trackers, M&A, more!

8 May 2026

AI dominated this week in multiple ways. Dr. Eric Topol opined on how validated deep learning AI use in medical imaging is hardly seeing any takeup by companies while gen AI and LLM chatbots get the funders and founders. Chatbots took a beating, with Character.AI being sued by Pennsylvania and AMA lobbying Congress for mental health bot guardrails. Is Oracle back from the debt brink with PIMCO’s bond fund financing for a data center or in deeper? Problematic ad trackers appear on state HIX websites, a buy and a Series B round it out.

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News roundup: Amwell narrows Q1 and full year losses, AMA urges Congress for guardrails on mental health chatbots, hospital at home study finds lower ED visits and lower hospital mortality

Character.AI sued by Pennsylvania on its chatbots posing as licensed physicians and psychiatrists

Oracle steps back from the AI debt brink with $16.3B financing for MI data center, the Project Jupiter ‘clean energy’ experiment in NM, and a major Federal DOW contract

Chutes & Ladders: Ad trackers still on healthcare websites after lawsuits, FTC; the US Navy adds WHOOPs it up and expands Talkspace; HealthVerity to buy Symphony Health; Nervonik’s $52.5M Series B

Is the health tech business neglecting validated deep learning medical AI models versus less proven LLMs and generative AI?

Last Week’s Headlines

A quickie news roundup: ChatGPT for Clinicians unveiled, UHG to invest $1.5B in AI, Aidoc raises $150M, TriFetch raises $1.9M pre-seed, Boehringer Ingelheim & Eko Health partner on canine heart murmur detection

Breaking: OpenEvidence app access terminated in the UK and EU

(Updated) Medtronic reports corporate IT systems cyberattacked. 500K UK Biobank records breached in inside job. Are med device and research organizations the new hacker happy hunting ground?

‘Behind the Emergency’–a well-done presentation about and approach to a specialized healthcare market

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Character.AI sued by Pennsylvania on its chatbots posing as licensed physicians and psychiatrists

This takes AI hallucinations and chatbot dangers to a slightly higher level. The Pennsylvania Department of State and the Pennsylvania State Board of Medicine have filed a lawsuit requesting a preliminary injunction against chatbot developer Character.AI. The company, formally Character Technologies, Inc. of Redwood City, California, is charged with enabling its LLM chatbots to pose as licensed medical professionals, including psychiatrists, in violation of the state’s Medical Practice Act. that prohibits the unauthorized practice of medicine and false credentials. Their investigation of their chatbot characters, posing as therapists, invited users to discuss their mental health symptoms. In the key instance outlined in the suit, a chatbot presented as a physician and falsely stated it was licensed in Pennsylvania and provided an invalid license number. 

Character.AI’s chatbots are available for use by the general public. It has over 20 million active users worldwide. Anyone can go on the Character.AI website and register for free; a paid version costs $9.99 per month which provides priority access. According to the PA Professional Conduct Investigator (PCI), after creating a free account and his own character, he searched on ‘psychiatry’ and found “Emilie”. He presented with symptoms corresponding to depression. “Emilie” offered to complete an assessment for him as ‘within her remit as a Doctor’. “Emilie” represented herself as a physician graduate of Imperial College London, licensed with the General Medical Counsel in the UK with a full registration and with a specialty in psychiatry. When asked, “she” said she was also licensed in PA. The number “she” gave the PCI, however, was invalid. 

The Medical Practice Act prohibits engaging in the unlawful practice of medicine and surgery or purport to do so. The complaint seeks to restrain Character.AI in presenting its characters as licensed medical professionals.  Press release,  “Complaint in Equity”

Character.AI’s response, from a spokesperson quoted in The Hill, was to not comment on the litigation, to state that the chatbots were for entertainment and role playing, claiming that “We have taken robust steps to make that clear, including prominent disclaimers in every chat to remind users that a Character is not a real person and that everything a Character says should be treated as fiction.” In another statement to Becker’s, “We also add robust disclaimers making it clear that users should not rely on characters for any type of professional advice. Character.AI prioritizes responsible product development and has robust internal reviews and red-teaming processes in place to assess relevant features.”

Unfortunately for Character.AI, there’s a trail of additional lawsuits from families saying that the chatbot ‘characters’ led their children to mental health problems, self-harm, and suicide along with other forms of abuse. Kentucky earlier this year filed its own lawsuit in that the characters allegedly “preyed on children and led them into self-harm.” 

Its valuation stands above $1 billion and according to Crunchbase, between seed and Series A (both 2023), it has raised $230 million to date from Andreessen Horowitz, SV Angel, Greycroft, Elad Gil, and A. Capital Ventures.

‘The Future of AI and Older Adults 2023’ now published

Laurie Orlov of Aging and Technology Watch in her latest paper tackles the latest iterations of AI and ML, tracing their roots back to 2014 to the original smart speakers and voice assistance, technologies that enabled older adults to access services with convenience and at reasonable cost. What will be the impact of AI using tools such as large language models (LLM) like ChatGPT to develop improved search, voice assistance, answers to health questions, and care plans written in understandable and empathetic language? For care facilities and senior housing, will they leverage AI with voice and sensor tech to improve safety monitoring for both residents and caregivers, plus the dream of predictive health for residents or those living at home with limited assistance? Will chatbots get a lot smarter versus obnoxious? Find out what both the short term and long term (5+ year) impact could be. 

Ms. Orlov’s somewhat gimlety view includes Gartner’s infamous Hype Cycle chart on page 5. As of today, most AI technologies reside in the balmy Peak of Inflated Expectations, the place where whatever investment funding is going. There’s lots of innovation and kitchen table hackathoning. Looming about two years out is the inevitable Trough of Disillusionment which has already been kicked off by Big Thinkers such as Steve Wozniak. As this Editor observed last month, it is a double-edged sword, with the bad side in its potential for data misuse, fraud, fakery, and malicious action. It’s already created controversy that this Editor predicts will crest in the next year with demands for regulation. We’re not there yet, however.

Download of the PDF is here and free.

After the COVID Deluge: a Topol-esque view of what (tele)medicine will look like

A typically cheery view by Eric Topol, MD of what medical practice will look like after COVID is over. With the full court press to go remote in hospitals and practices worldwide, telehealth and telemedicine has gone fast forward in a matter of under two months. But what will it look like after it’s over? Most of what the good doctor is prognosticating will be familiar to our Readers who’ve followed him for years–certainly he was right on mobile health overall and especially AliveCor/Kardia Mobile— but not so on point with mobile body scanners (anyone remember VScan?)

When the high tide recedes, what will the beach look like?

  • “Telemedicine will play the role of the first consultation, akin to the house-call of yore.” (Terminology note–interesting that Dr. T still uses ‘telemedicine’ versus ‘telehealth’–Ed.)
  • Chatbots will serve as screeners–once they are proven to be effective (a ways to go here, as the Babylon debate rages on)
  • Smartphones will be the hub, connecting with all sorts of monitoring devices (the ‘connected health’ Tyto Care and Vivify Health model–which makes the Editor’s former company, the late Viterion Digital Health, even more of a pioneer that died crossing the Donner Pass of 2016)
  • Smartwatches are also part of this hub (this Editor remains a skeptic) 
  • Now is the time to harness technology by both health systems and individual practices, but multiple barriers remain. (This Editor can speak to the difficulties for both primary care and specialty practices in not only practice but also reimbursement–and acceptance by patients.) Device expense is also a problem for the non-affluent.

As to the rest, it is pretty much what we’ve heard from Dr. T before.  The Economist

Your Editor will add:

  • Easy to use, secure platforms that don’t put users through multiple security steps remain a concern for users. This Editor’s concern is that easy to use = insecure. Skype and Zoom are inherently insecure–Skype’s user unfriendliness and insecurity outside enterprise platforms and Zoom’s major security problems on its platform and user flaws are well-known (ZDNet).
  • Reimbursement, again! CMS has done a creditable job in broadening reimbursement for telehealth a/v and telephonic services, but coding remains a nightmare for practices struggling to remain open and with some lights on. After COVID, will CMS and HHS get religion, or put it right back in its rural bottle? Covered in the CARES Act passed at the close of March, $200 million sounds like a lot from the FCC to bankroll telecom equipment for providers, but these funds will go quickly. At least they are not delayed in endless rule making, as the Connected Care Pilot Program has been for two years. Mobihealthnews