Musk's Neuralink implants device in human; patient recovers. Aim: help severe paralysis patients control external tech with neural signals. Telepathy product could let degenerative disease patients communicate, type mentally. Commercialization requires intense safety tests, FDA approval. Undefined numbers in initial trial.

Elon Musk's Neuralink implants brain tech in human patient for the first time CNBC

Generative AI, specifically Large Language Models (LLMs), are advancing in the medical sector, aiding in summarizing patient data. However, without FDA oversight, they could reach clinics without safety and efficacy checks. Current EHRs' inefficient info access and excessive content lead to physician burnout and clinical errors, which LLMs could reduce. Variation in LLM-generated summaries might impact clinician decisions. These AI tools require comprehensive standards testing and more explicit FDA regulation given their capacity to alter clinical interpretations and promote potential errors. Existing FDA regulatory safeguards don't clearly cover the unique risks of language-based AI. Transparent standards development and clinical studies are crucial for safe LLM application in clinics.

AI-Generated Clinical Summaries Require More Than Accuracy JAMA Network

2023 saw a shift in digital health from record-breaking funding to consolidation due to market cool, according to CB Insights. The pandemic had inflated innovative funding, which halved to $13.2 billion in 2023, a pre-pandemic level. Mega-rounds exceeding $100 million decreased, however, the median deal size remained high, suggesting resources being focused on fewer, promising ventures. The number of "unicorn" companies decreased, M&A deals nearly doubled, pointing to consolidation focus. Despite the downturn, opportunities for expansion and technology refinement exist in the reshaped ecosystem.

State of Digital Health 2023: From Gold Rush to Consolidation in a Cooling Market Hit Consultant

CIO priorities of 2024: data control, balancing innovation and operational excellence, cybersecurity, talent development, AI deployment, increasing digital acumen, addressing AI talent shortage, data governance, value creation, and cost optimization. Emphasis on talent, AI safety, achieving balance, and strategies to better inform and protect business.

10 top priorities for CIOs in 2024 | CIO CIO