イスマイル・アスランダグ/アナドル経由の写真（Getty Images提供）
ChatGPTが2022年後半に登場して以来、生成AIツールは医療分野で著しい進歩を遂げています。研究によると、専門的な臨床医の監督下でAIが診断精度を大幅に向上させることが示されています。診断精度、治療推奨、および患者のモニタリングと分析です。
しかし、その驚異的な能力と話題性にもかかわらず、生成AIはまだ米国の医療や社会全体への導入初期段階にあります。
OpenAIの最新アップデートであるGPT-40は、それを変えることを目指しています。
オープンエーアイが公開したデモでは、ユーザーがスマートフォンでGPT‐40と自然な会話を行っている様子が見られました。このAIはビデオ、音声、およびテキストを通じてリアルタイムで応答し、人間のような音声で対話しました。
With broad adoption GPT ‐40 (which will be embedded next generations ChatG PT ) empower sickest Americans take greater control own health preventing up hundreds thousands premature deaths each year from complications chronic disease heart attacks strokes, cancer kidney failure .
Generative AI technology contains both knowledge ability help accomplish this :
- Knowledge . ChatG PT houses extensive corpus scientific literature which includes diverse dataset clinical studies guidelines professional organizations research published top-tier journals future updated real-time data conferences, records up-to-the-minute research ensuring remains comprehensive current.
- Ability. assist overburdened clinicians GenA I provide patients round-the-clock monitoring insights advice empowering better diagnose manage problems future generations tools connect devices informing status suggesting medication adjustments lifestyle changes clear friendly terms also remind people preventive screenings even facilitate appointments transportation proactive approaches reduce improve outcomes < a ref =" no follow130 million Americans living with chronic diseases .
Combatting Chronic Disease With GPT – 40
to dive deeper into generative ai’s difference-making potential let look at two major gaps management diabetes hypertension leading cause kidney contributor heart attacks responsible lower limb amputations effective possible nearly all prevent many complications well controlled only cases across united states similarly control high blood pressure strokes major contributor achieved although some health systems achieve best available tools approaches inconsistently deployed throughout practices medical monitoring plus play crucial role managing imagine scenario where doctor prescribes sends patient home wearable device month readings normal elevated unsure whether indicate signal problem doesn’t have time review prefers not clutter electronic record instead waiting four next visit find out generative quickly analyze data instructions advise whether adjustment needed continue today’s aren’t ready transform care delivery but their coming doubling power each year these will capable five overcoming barriers mass adoption concerns privacy security need solved before majority buy-on empowered progress being made those fronts example leap saw82 reduction hallucinations larger context window better safety mechanisms addition clinicians worry potential income loss healthier reduced demand services best solution shift current fee-for-service reimbursement model rewards volume value-based capitated system rewards doctors preventing avoiding serious rather treating life-threatening when arise adopting pay approach embrace tool help manage rather seeing threat livelihood release shattered industry norm against creating human-like ethical risks carefully managed however potential save thousands lives makes worth taking.
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