Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
AIに仕事を奪われる 最初の医師たちへ
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
iKora128
August 23, 2025
Science
1.1k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
AIに仕事を奪われる 最初の医師たちへ
2025年8月24日にProject_SAMというチームの合宿で医学生向けに発表した内容です
生成AIが台頭する医療の中で、これからどのような
iKora128
August 23, 2025
More Decks by iKora128
See All by iKora128
GENSHI AI|会社概要(Company Deck)|2026-02-03
ikora128
0
100
カメラの基礎知識(Basic Camera Tutorial)
ikora128
0
76
Other Decks in Science
See All in Science
AI(人工知能)の過去・現在・未来 ~AIは人類を越えるのか~
tagtag
PRO
0
160
[NLP2026 参加報告会] AI for Science まとめ / NLP2026
lychee1223
0
2k
AIPシンポジウム 2025年度 成果報告会 「因果推論チーム」
sshimizu2006
3
630
Leitner Inauguration Lecture Chalmers University of Technology
xleitix
0
350
Wet Active Matter
rajeshrinet
0
150
因果探索の発展と展望
sshimizu2006
2
1.1k
20260820_アウトカムが二値のデータに対するCausal Impact@LINEヤフー Data Science Share #2 / Causal Impact for Binary Outcomes
brainpadpr
3
1.4k
(CVPR2026) Back to Basics: Let Denoising Generative Models Denoise
shumpei777
0
350
機械学習 - ニューラルネットワーク入門
trycycle
PRO
0
1.2k
Non-Gaussian, nonlinear causal discovery with hidden variables and application
sshimizu2006
0
180
水耕栽培を始める前に知っておきたい植物の科学
grow_design_lab
0
350
2026 Introduction to University Math 01
kanaya
0
140
Featured
See All Featured
Making Projects Easy
brettharned
120
6.7k
The untapped power of vector embeddings
frankvandijk
2
1.9k
GitHub's CSS Performance
jonrohan
1033
470k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
450
ラッコキーワード サービス紹介資料
rakko
1
4.8M
From π to Pie charts
rasagy
0
360
We Have a Design System, Now What?
morganepeng
55
8.3k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
3k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
440
Technical Leadership for Architectural Decision Making
baasie
3
560
WENDY [Excerpt]
tessaabrams
13
39k
Transcript
1 "*ʹࣄΛୣΘΕΔ ࠷ॳͷҩࢣͨͪ %BJDIJ/BHBTIJNB ܅ʮফ͑ΔҩࢣʯʹͳΔ͔ ʮະདྷΛΔҩࢣʯʹͳΔ͔
ࣗݾհ 2 େେֶҩֶ෦ଔۀ େݝผࢢݟපӃۈ ΞδΞਓ࠷ߴๆ ը૾ੜϞσϧΛൃද ݚमҩΛதஅ͠ גࣜձࣾΤΞϑϨϯυʹೖࣾ ݱࡏ ౦େපӃ॥ثՊ"*νʔϜॴଐ
ϝσΟοΫϝσΟΞࣾࣨॴଐ -JWFUPPO$50
3
4 ຊͷ౦ژ৽ฉ
5 ୈ෦ɿংষ ࠇધདྷߤ "*࣌ͷҩྍΛੜ͖ൈ͘
6 ҩࢣͷࣄɺ ͳ͘ͳΔͷ͔ʁ
7 ओ ʰ ⽣ "*ʱ
8 (PPHMF ͔Βͷ ઓঢ়
9 /BUVSFܝࡌ ⽂ ʰ".*&ʱ
10 அਫ਼Ͱʜ ҩࢣΛ্ճΔ
11 ڞײੑͰ͑͞ʜ ҩࢣΛ্ճΔ
12 Պҩͷ ͏"*ʹ উͯͳ͍ͷ͔ʁ
13 ".*&ͷিܸతσʔλ ධՁ߲ ⽬ ".*& ҩࢣ ݁Ռ அਫ਼
"*উར ڞײੑείΞ "*উར ใऩू ⼒ "*উར ίϛϡχέʔγϣϯ "*উར ߲ ⽬ த߲ ⽬ Ͱ"*উར
0WFSWJFXPG".*& Towards conversational diagnostic artificial intelligence 14
அਫ਼ͷѹతࠩ 5PQஅਫ਼Ͱͷࠩ 15 Towards conversational diagnostic artificial intelligence
16 ࣮ࡍͷձ ⽐ ֱ ҩࢣͷԠ ⾵ अͰ͢ͶɻༀΛग़͠·͢ ".*&ͷԠ lͭΒ͍ঢ়͕ଓ͍͍ͯΔΑ͏Ͱ͢Ͷɻ
ৄ͓͘͠ฉ͖͠·͕͢ɺঢ়͍͔ͭΒ࢝·Γ·͠ ͔ͨʁଞʹؾʹͳΔ͜ͱ͋Γ·ͤΜ͔ʁz ࣌ؒඵ ຬ ⾜ ࣌ؒ ຬ ⾜
17 ".*&ͷিܸతσʔλ ධՁ߲ ⽬ ".*& ҩࢣ ݁Ռ அਫ਼
"*উར ڞײੑείΞ "*উར ใऩू ⼒ "*উར ίϛϡχέʔγϣϯ "*উར ߲ ⽬ த߲ ⽬ Ͱ"*উར
ୈ෦ɿিܸ ΉՊɺมΘΔՊ "*࣌ͷҩྍઐͷม༰ 18
19 ਅͬઌʹ lফ͑ΔՊz Ͳ͔͜ʁ
20 ์ࣹઢՊ
21 පཧՊ
22 ͳͥ͜ͷ ̎Պ͕ඪతʁ
23 ύλʔϯೝࣝ %FFQ-FBSOJOHͷಘҙ
24 (FPGGSFZ)JOUPOڭतͱʁ "*ͷΰουϑΝʔβʔ w ϊʔϕϧཧֶ w %FFQ-FBSOJOHͷ ⽗ w
(PPHMF#SBJOݩ෭ࣾ ⻑ w ඃҾ ⽤ ສճ w όοΫϓϩύήʔγϣϯ։ൃ w ݱ"*ͷجૅΛߏங
ͷিܸൃ ⾔ 25 ์ࣹઢՊҩͷ ҭΛࠓ͙͢ ΊΔ͖ͩ ੈքதͷҩֶքʹܹ
26 ͔͠͠ఫճ ์ࣹઢՊҩͷҭΛΊΔ͖ ˣ9ޙ lࢲ༧ଌޡ͍ͬͯͨɻ ์ࣹઢՊҩͷࣄը૾அ͚ͩͰͳ ͍ɻ"*ͱڠಇ͢Δ͜ͱͰΑΓྑ͍ҩྍ ΛఏڙͰ͖Δ
ͳͥ༧ ⾔ ֎Εͨʁ அʺը૾Λ ⾒ Δ͚ͩ "*୯λεΫ͔͠Ͱ͖ͳ͍ ҩࢣ"*Λຯ ⽅ ʹͨ͠
2 7 ͭͷޡࢉ
28 ҰͭͷλεΫͰ༏Ε͍ͯͯ ૯߹తʹউͭͷ·ͩ·ͩ
29 ୈ෦ɿਅ࣮ "*ͷӽ͑ΒΕͳ͍น "*ͷݶքͱҩऀͷՁ
30 ͳͥɺ"*z୯ಠzͰ μ ϝͳͷ͔ʁ
31 ᶃະͱͷૺ۰
32 "*ͷܾఆతͳ lࢮ ⾓
33 ֶशσʔλʹͳ͍͜ͱ ʰΘ͔Βͳ͍ʱͱ ⾔ ͑ͳ͍
34 "*ʰΒͳ͍ʱ͜ͱΛ͠Βͳ͍
35 ᶄදతͳσʔλ͔͠ ղऍͰ͖ͳ͍
36 ױऀͷՁ؍ Χϧςͷཪͷ χϡΞϯε ݟ͑ͳ͍σʔλ
37 σʔλʹݱΕΔͷױऀͷණࢁͷҰ֯
38 "*දͷσʔλ͔ΒzͦΕͬΆ͘zਪ͢Δ
39 ᶅΛऔΕͳ͍
40 ͷॴࡏ
41 ⾃ ಈԽόΠΞε "*͕ ⾔ ͏ͳΒਖ਼͍ͣ͠ ⾠ةݥͳࢥߟఀ ⽌
42 ᶆໃ६ΛॲཧͰ͖ͳ͍
43 ໃ६͕͋Δͱਫ਼͕Լ͕Δ IUUQTHJUIVCDPNQJMMPXTPGXJOE,OPXMFEHF$POGMJDUT4VSWFZ
44 ҩࢣࠃՈࢼݧໃ६ͷͳ͍ཧ݅
45 ୈ෦ɿະདྷ ܅ͨͪͷ৽͍͠Ձ "*࣌ͷҩࢣͷ৽ͨͳׂ
46 Ͱະདྷͷҩࢣͷ ՁͲ͜ʹ͋Δʁ
"*Λ͍͜ͳ͢ ʰ࢘ྩౝʱ 47
A I ͷ ͑Λ ʰ ٙ ͏ ʱ 48
"*ͷࢮ֯Λ ʰຒΊΔʱ 49
50 ࠷ऴܾஅͷ ʰ Λෛ͏ʱ
51 ҩࢣͷࣄɺ ʰࣝͷهԱʱ͔Β ʰࣝͷཧɾԠ ⽤ ʱ
52 ະདྷͷҩࢣ"*ͷ࢘ྩౝͷׂ
53 ܅ͨͪɺྺ্࢙ॳΊͯ ʰ࠷ ⾼ ͷ෭ૢॎ ⼠ ʱ Λ ⼿ ʹ͢Δੈͩ
54 " * ʹ ʰ ΘΕΔͳʱ
55 " * Λ ʰ ͍͜ͳͤʱ
Α͋͘Δ࣭ ❓ຊʹҩࢣඞཁʁ ❓ͲͷՊ͕҆શʁ ❓ࠓ͔ΒԿΛษڧ͖͢ʁ ❓ੜ"*ͬͯͳʹʁ 56 4 7
57 ͝ਗ਼ௌ ͋Γ͕ͱ͏͍͟͝·ͨ͠ ະདྷͷҩྍ܅ͨͪͷ ⼿ ʹ