Jacob Trefethen (@JacobTref)
OpenAI Foundation이 알츠하이머병의 복잡한 난제를 해결하기 위해 1억 달러 이상을 투입해 질병 매핑, 신약 설계 등 연구를 지원한다고 발표했다. AI를 의학 연구에 적용하는 대형 사회적·과학적 프로젝트로, 의료 AI의 새로운 활용 사례로 주목된다.
Alzheimer’s is one of medicine's hardest unsolved problems, and one of the most devastating. At the OpenAI Foundation, we believe AI is well suited to its complexity. We're directing over $100M to scientists mapping the disease, designing drugs, & more. I wrote about it here:
𝗗𝗲𝗹𝗲𝗴𝗮𝘁𝗲 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻 - HealthAI2026
📧 [email protected]
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @heidlberger_dr @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @Oxford @oxfordmedsci
𝗢𝗿𝗮𝗹 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 - HealthAI2026
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#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @heidlberger_dr @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @charlesuniprg
Wes Roth (@WesRoth)
Neuralink가 2026년 초 기준 전 세계 21명의 임상 참여자로 시험을 확대했다고 밝혔다. 척수 손상과 ALS 환자들이 Link 임플란트를 이용해 컴퓨터를 조작하고, 게임을 하며, 원래 목소리로 음성을 합성하는 사례가 소개됐다.
https://x.com/WesRoth/status/2039523214578086277
#neuralink #braincomputerinterface #medicalai #implant #assistivetech
As of early 2026, Neuralink has successfully expanded its trials to 21 enrolled patients worldwide. We've seen pioneers with spinal cord injuries and ALS use the "Link" implant to operate computers, play games, and even synthesize speech in their original voices just by
Wes Roth (@WesRoth)
Neuralink가 2026년 초 기준 전 세계 임상시험 참가자를 21명까지 확대했다고 밝혔다. 척수 손상과 ALS 환자들이 Link 임플란트를 통해 컴퓨터 제어, 게임, 음성 합성 등 다양한 활용을 보여주며 뇌-컴퓨터 인터페이스 기술의 진전을 시사했다.
https://x.com/WesRoth/status/2039523214578086277
#neuralink #braincomputerinterface #medicalai #implant #assistivetech
As of early 2026, Neuralink has successfully expanded its trials to 21 enrolled patients worldwide. We've seen pioneers with spinal cord injuries and ALS use the "Link" implant to operate computers, play games, and even synthesize speech in their original voices just by
Choose Your Category - HealthAI2026
Submit your abstracts and register today🔗healthai.pagesconferences.org
📧 [email protected]
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @heidlberger_dr @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic
AssemblyAI (@AssemblyAI)
의료 상담 음성인식에서 범용 ASR의 한계를 보완하기 위해, Universal-3 Pro 위에 동작하는 ‘Medical Mode’를 소개했다. 단일 파라미터로 활성화하며, 의료 용어 인식에 최적화된 보정 단계로 특정 약물명 같은 전문 용어 오인식을 줄이는 것이 핵심이다.
General-purpose ASR: 95%+ accuracy on a clinical consult. Also general-purpose ASR: gets "hydrochlorothiazide" wrong every time. Introducing Medical Mode — a correction pass on top of Universal-3 Pro optimized for medical entity recognition. Enable it with one parameter.
AssemblyAI (@AssemblyAI)
임상 워크플로우용 Medical Mode가 공개되었습니다. 일반적인 음성인식 정확도가 높아도 임상에서는 약물명 같은 핵심 토큰 오류 때문에 실사용이 어렵다는 문제를 해결하려는 기능입니다.
https://x.com/AssemblyAI/status/2036822463347302652
#medicalai #speechrecognition #clinicalworkflow #asr #healthcare
Medical Mode is now available for clinical workflows. We built Medical Mode because a transcript that's 95% accurate can still be unusable in a clinical setting. Errors in general-purpose ASR are often concentrated on exactly the tokens clinicians care about most: drug names,
Deena Mousa (@deenamousa)
최전선 AI 모델들이 영어가 아닌 대부분의 언어에서 여전히 큰 성능 저하를 보인다는 분석입니다. 일부 모델은 영어 대비 12~29%p 낮았고, 의료 진단처럼 다국어 글로벌 배포가 늘어나는 상황에서 중요한 문제로 지적됩니다.
My new piece in @TheEconomist: frontier AI models still underperform badly in most languages — 12-29 percentage points worse than in English depending on the model A real issue as global deployment for use cases like medical diagnosis is accelerating
sayzard
Meghana K
The-14