Microsoft, Google enhance genAI offerings for clinicians: We examine the race between startups, health tech companies, and Big Tech giants to show healthcare organizations how their AI tools will drive efficiency-–and why Microsoft could have a leg up on the competition.

US docs spend up to 3 hours per week correcting AI: Physicians’ liability concerns with AI can be addressed by having them involved with technology purchasing decisions.

US hospitals use predictive AI tools, but many use biased data: Most AI models make recommendations based on homogenous data samples, which could actually harm many patients. But more regulatory oversight of healthcare AI isn’t guaranteed to happen in the near term.

Consumers want AI that’s vetted by doctors: They believe the tech can improve their experience, but only if it’s been responsibly implemented and its conclusions verified by a human clinician.

Patients have mixed opinions of healthcare tech: Healthcare organizations and marketers will need to keep innovating without compromising the patient experience.

The data: Nurses remain skeptical of the impact that AI will have in healthcare settings, according to Jarrard’s 2024 Nurse Survey Report. Some 837 US nurses were surveyed in September 2024.

Lawmakers criticize HHS plan to regulate healthcare AI: Their position stands in stark contrast to physicians, who could refuse to use the tech if it’s not properly vetted.

Consumers are submitting medical scans to Elon Musk’s genAI chatbot, Grok: But Grok isn’t trained well enough on medical data, which could create a host of problems for patients.

AI dominates HLTH conference: We explore the most significant AI news from the event and examine why some health systems feel a sense of urgency to invest in AI.

CA governor signs two healthcare AI bills into law: Lawmakers believe AI should be used as a supplementary tool when it comes to patient care.

Health insurers’ use of AI tools linked to soaring claim denials: The claim denials process has become maddening for patients and providers alike.

Most healthcare AI startups want to sell their solutions to health systems: But these tech companies struggle to demonstrate their value prop to potential healthcare provider buyers.

Why AI will be at the center of health systems’ focus this year: A new survey reveals how health systems are more bullish than ever on AI. We unpack some of the key challenges with the tech below..

Is AI-powered cancer diagnostics mainstreaming? A Memorial Sloan Kettering spinout got the FDA nod for its cancer-detecting AI tool, and NYU Langone’s study results boast the efficacy of a similar tool—more fuel for healthcare stakeholders investing in AI for cancer diagnostics.