This edition of AI Prognosis highlights a critical gap: although patients are central to health care, their voices are often missing in discussions about AI's role in the field. Exploring how health care systems can better include patients in AI development and implementation is essential for truly patient-centered innovation.
Dimension Bio is pioneering the growth of simplified liver tissues from cells to support patients until their damaged livers can heal or a transplant becomes available.
The model policy team is responsible for key aspects of AI safety research, including managing how ChatGPT addresses users experiencing crises.
Johnson & Johnson is expanding its neurovascular research and development efforts in Galway. This expansion is aimed at addressing specific medical challenges, increasing team capacity, and advancing the development of innovative treatments. The move underscores the company's commitment to improving healthcare solutions through focused R&D investment.
Eli Lilly made history by becoming the first healthcare company to reach a $1 trillion market capitalization, driven largely by the rapid growth and popularity of its weight-loss drugs.
In an episode of "The Readout LOUD," STAT reporters sit down with Mark Cuban to explore his thoughts on the growing direct-to-consumer trend in healthcare and why he supports TrumpRx as a positive development.
Voio, a startup launched by a computer scientist from the University of California, Berkeley, is developing AI technology to assist radiologists in interpreting medical images more quickly and accurately. Their goal is to support healthcare professionals by detecting hundreds of medical conditions through advanced image analysis, improving both speed and precision in diagnostics.
As artificial intelligence increasingly takes on tasks like coding, piloting, and diagnostics, stories of machines quickly replacing humans are common but misleading. AI's progress is uneven and gradual, excelling in some tasks while struggling in others, creating a 'jagged frontier.' McKinsey & Co.'s 2024 report shows AI impacts job tasks differently within roles, reducing demand in positions with repetitive tasks while increasing it in professions requiring complex judgment and empathy, like healthcare.
Automation evolves in three stages: assist, reshape, and replace. The uneven adoption is influenced by friction factors such as task repetition, judgment, human assurance, error tolerance, regulation, and cultural elements. For example, pilots still work alongside automation due to safety, judgment, regulatory, and trust factors, while autonomous cargo and military aviation progress faster without such constraints.
Across sectors—medicine, software development, education, and autonomous driving—AI alters roles incrementally rather than replacing humans outright. Tasks demanding nuanced reasoning, empathy, and accountability remain human-centered. Regulation and organizational resistance also slow AI integration in sensitive fields.
Leaders should focus on understanding these dynamics to guide strategy, invest wisely, anticipate change, and manage workforce transformation with patience and clarity rather than panic over a sudden AI takeover.
As the volume of health data from electronic records, blood tests, and wearable devices grows rapidly, many individuals find it challenging to integrate and utilize this information effectively. Function Health aims to aggregate this diverse health data to provide meaningful insights and improve health outcomes for its users.
Medscape, a subsidiary of WebMD, has introduced a new generative AI tool designed to help doctors make faster, more informed decisions using the latest medical information. This innovative technology aims to enhance healthcare delivery by providing timely support to medical professionals.
