{"id":615,"date":"2023-12-03T20:20:26","date_gmt":"2023-12-03T13:20:26","guid":{"rendered":"https:\/\/xuhuongai.com\/?p=615"},"modified":"2023-12-07T14:17:14","modified_gmt":"2023-12-07T07:17:14","slug":"tiem-nang-dinh-hinh-tuong-lai-cua-linh-vuc-chan-doan-hinh-anh-cua-gpt-4","status":"publish","type":"post","link":"https:\/\/xuhuongai.com\/?p=615","title":{"rendered":"Ti\u1ec1m n\u0103ng \u0111\u1ecbnh h\u00ecnh t\u01b0\u01a1ng lai c\u1ee7a l\u0129nh v\u1ef1c ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh c\u1ee7a GPT-4"},"content":{"rendered":"\n
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B\u1ea3n tin \u0111\u01b0\u1ee3c t\u00f3m t\u1eaft Anh-Vi\u1ec7t b\u1edfi n\u1ec1n t\u1ea3ng t\u1ea1o tr\u1ee3 l\u00fd AI \u2013 KamiMind<\/a>.<\/p>\nNgu\u1ed3n: Javier Alvarez-Valle, Matthew Lungren, “GPT-4\u2019s potential in shaping the future of radiology<\/a>“, microsoft.com, 27\/11\/2023.<\/cite><\/blockquote>\n\n\n\n

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\u1ea2nh minh h\u1ecda: MARIA<\/figcaption><\/figure>\n\n\n\n

Trong nh\u1eefng n\u0103m g\u1ea7n \u0111\u00e2y, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111\u00e3 \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p ng\u00e0y c\u00e0ng nhi\u1ec1u v\u00e0o l\u0129nh v\u1ef1c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe. C\u00e1c \u1ee9ng d\u1ee5ng AI nh\u01b0 ch\u1ea9n \u0111o\u00e1n, l\u1eadp ph\u00e1c \u0111\u1ed3 \u0111i\u1ec1u tr\u1ecb v\u00e0 t\u01b0\u01a1ng t\u00e1c v\u1edbi b\u1ec7nh nh\u00e2n \u0111\u00e3 mang l\u1ea1i nh\u1eefng l\u1ee3i \u00edch v\u00e0 \u0111\u1ecbnh h\u01b0\u1edbng m\u1edbi. M\u1eb7c d\u00f9 AI \u0111\u00e3 \u0111\u00f3ng g\u00f3p \u0111\u00e1ng k\u1ec3 trong vi\u1ec7c ph\u00e2n t\u00edch h\u00ecnh \u1ea3nh v\u00e0 ph\u00e2n t\u00edch t\u01b0\u01a1ng t\u00e1c thu\u1ed1c, ti\u1ec1m n\u0103ng c\u1ee7a AI trong c\u00e1c t\u00e1c v\u1ee5 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean trong l\u0129nh v\u1ef1c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe v\u1eabn c\u00f2n nhi\u1ec1u c\u01a1 h\u1ed9i nghi\u00ean c\u1ee9u.<\/p>\n\n\n\n

M\u1ed9t ti\u1ebfn b\u1ed9 quan tr\u1ecdng g\u1ea7n \u0111\u00e2y l\u00e0 hi\u1ec7u su\u1ea5t \u1ea5n t\u01b0\u1ee3ng c\u1ee7a GPT-4 trong c\u00e1c k\u1ef3 thi n\u0103ng l\u1ef1c y t\u1ebf v\u00e0 b\u1ed9 d\u1eef li\u1ec7u \u0111\u00e1nh gi\u00e1 hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh. GPT-4 \u0111\u00e3 th\u1ec3 hi\u1ec7n ti\u1ec1m n\u0103ng trong vi\u1ec7c t\u01b0 v\u1ea5n y t\u1ebf, m\u1edf ra tri\u1ec3n v\u1ecdng cho s\u1ef1 \u0111\u1ed5i m\u1edbi trong l\u0129nh v\u1ef1c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe.<\/p>\n\n\n\n

T\u00e0i li\u1ec7u “Kh\u00e1m ph\u00e1 ranh gi\u1edbi c\u1ee7a GPT-4 trong b\u1ed9 m\u00f4n X-quang” t\u1eadp trung v\u00e0o kh\u1ea3 n\u0103ng v\u00e0 gi\u1edbi h\u1ea1n c\u1ee7a GPT-4 trong l\u0129nh v\u1ef1c X-quang, m\u1ed9t l\u0129nh v\u1ef1c quan tr\u1ecdng trong ch\u1ea9n \u0111o\u00e1n v\u00e0 \u0111i\u1ec1u tr\u1ecb b\u1ec7nh. Nghi\u00ean c\u1ee9u n\u00e0y \u0111\u00e3 s\u1eed d\u1ee5ng c\u00e1c c\u00f4ng c\u1ee5 \u0111\u00e1nh gi\u00e1 v\u00e0 ph\u00e2n t\u00edch l\u1ed7i \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 kh\u1ea3 n\u0103ng x\u1eed l\u00fd b\u00e1o c\u00e1o ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh, bao g\u1ed3m c\u00e1c t\u00e1c v\u1ee5 \u0111\u1ecdc-hi\u1ec3u v\u00e0 t\u1ea1o sinh ng\u00f4n ng\u1eef th\u00f4ng th\u01b0\u1eddng trong l\u0129nh v\u1ef1c ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh. K\u1ebft qu\u1ea3 cho th\u1ea5y GPT-4 c\u00f3 th\u1ec3 t\u1ea1o ra c\u00e1c t\u00f3m t\u1eaft b\u00e1o c\u00e1o ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c \u01b0a chu\u1ed9ng h\u01a1n so v\u1edbi c\u00e1c ng\u01b0\u1eddi chuy\u00ean nghi\u1ec7p \u0111\u00e3 vi\u1ebft.<\/p>\n\n\n\n

Nghi\u00ean c\u1ee9u c\u0169ng \u0111\u00e3 kh\u00e1m ph\u00e1 c\u00e1c k\u1ef9 thu\u1eadt g\u1ee3i \u00fd nh\u01b0 effective-zero, few-shot, chain-of-thought (CoT) cho GPT-4 trong c\u00e1c nhi\u1ec7m v\u1ee5 ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh X-quang kh\u00e1c nhau, v\u00e0 th\u1eed nghi\u1ec7m c\u00e1c ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 tin c\u1eady \u0111\u1ea7u ra c\u1ee7a GPT-4. GPT-4 \u0111\u00e3 \u0111\u1ea1t hi\u1ec7u su\u1ea5t t\u1ed1t h\u01a1n so v\u1edbi c\u00e1c m\u00f4 h\u00ecnh tr\u01b0\u1edbc \u0111\u00f3 v\u00e0 c\u00e1c m\u00f4 h\u00ecnh ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh ti\u00ean ti\u1ebfn t\u01b0\u01a1ng \u1ee9ng.<\/p>\n\n\n\n

Tri\u1ec3n v\u1ecdng c\u1ee7a GPT-4 kh\u00f4ng ch\u1ec9 gi\u1edbi h\u1ea1n trong l\u0129nh v\u1ef1c ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh. N\u00f3 c\u00f2n c\u00f3 ti\u1ec1m n\u0103ng trong vi\u1ec7c d\u1ecbch c\u00e1c b\u00e1o c\u00e1o y t\u1ebf th\u00e0nh \u0111\u1ecbnh d\u1ea1ng d\u1ec5 \u0111\u1ecdc v\u00e0 d\u1ec5 hi\u1ec3u h\u01a1n cho b\u1ec7nh nh\u00e2n v\u00e0 chuy\u00ean gia y t\u1ebf kh\u00e1c. S\u1eed d\u1ee5ng GPT-4 c\u0169ng c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 c\u00e1c chuy\u00ean gia trong c\u00f4ng vi\u1ec7c h\u00e0ng ng\u00e0y c\u1ee7a h\u1ecd. Tuy nhi\u00ean, vi\u1ec7c s\u1eed d\u1ee5ng c\u00f4ng ngh\u1ec7 n\u00e0y c\u1ea7n \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t c\u1ea9n th\u1eadn v\u00e0 nghi\u00ean c\u1ee9u ti\u1ebfp theo \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 t\u00ednh tin c\u1eady.<\/p>\n\n\n\n

Nghi\u00ean c\u1ee9u n\u00e0y ch\u1ec9 l\u00e0 kh\u1edfi \u0111\u1ea7u, v\u00e0 c\u1ea7n c\u00f3 th\u00eam nghi\u00ean c\u1ee9u m\u1edf r\u1ed9ng v\u00e0 th\u1eed nghi\u1ec7m l\u00e2m s\u00e0ng \u0111\u1ec3 x\u00e1c nh\u1eadn k\u1ebft qu\u1ea3. Tuy nhi\u00ean, s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a GPT-4 \u0111\u00e1nh d\u1ea5u m\u1ed9t t\u01b0\u01a1ng lai th\u00fa v\u1ecb cho ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh v\u00e0 l\u0129nh v\u1ef1c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe. C\u1ed9ng \u0111\u1ed3ng y t\u1ebf c\u1ea7n l\u00e0m vi\u1ec7c c\u00f9ng v\u1edbi c\u00e1c b\u00ean li\u00ean quan kh\u00e1c \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh vi\u1ec7c s\u1eed d\u1ee5ng ph\u00f9 h\u1ee3p c\u00f4ng ngh\u1ec7 n\u00e0y, c\u0169ng nh\u01b0 chuy\u1ec3n \u0111\u1ed5i vi\u1ec7c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe, m\u1ed9t c\u00e1ch c\u00f3 tr\u00e1ch nhi\u1ec7m.<\/p>\n\n\n\n

B\u1ea3n t\u00f3m t\u1eaft ti\u1ebfng Anh<\/summary>\n

Artificial Intelligence (AI) is increasingly being incorporated into healthcare, particularly in areas such as diagnostics, treatment planning, and patient engagement. While AI has already proven effective in fields like image analysis and drug interaction, there is a growing interest in exploring its potential in natural language tasks within healthcare.<\/p>\n\n\n\n

A significant development in this domain is GPT-4, which has shown impressive performance on medical competency exams and benchmark datasets. It has also demonstrated potential utility in medical consultations, offering promising prospects for healthcare innovation.<\/p>\n\n\n\n

In a recent study presented at EMNLP 2023, researchers examined GPT-4’s capabilities and limitations in radiology, a critical field for disease diagnosis and treatment through imaging technologies like x-rays, CT scans, and MRIs. The study evaluated GPT-4’s ability to process radiology reports, including tasks like disease classification and findings summarization. The research team found that GPT-4 achieved state-of-the-art performance in some tasks, surpassing existing models by around 10%. Surprisingly, the radiology report summaries generated by GPT-4 were comparable to, and sometimes even preferred over, those written by experienced radiologists.<\/p>\n\n\n\n

The experiment also explored various effective zero-, few-shot, and chain-of-thought (CoT) prompting techniques for GPT-4 across different radiology tasks and experimented with approaches to improve the reliability of GPT-4 outputs. For each task, GPT-4 performance was benchmarked against prior GPT-3.5 models and respective state-of-the-art radiology models.<\/p>\n\n\n\n

Additionally, GPT-4 showed promise in automatically structuring radiology reports, which can improve standardization, consistency, and interpretability. This can enhance collaboration among healthcare providers and facilitate research and quality improvement initiatives. GPT-4’s potential also extends to translating medical reports into more empathetic and understandable formats for patients and other health professionals, revolutionizing patient engagement and education.<\/p>\n\n\n\n

However, further research and clinical trials are needed to validate these findings. With appropriate oversight, GPT-4 has the potential to transform radiology and other medical specialties, improving evaluation results, accuracy, and reliability. The medical community, along with technology and policy stakeholders, must collaborate to determine the responsible and effective use of these tools to transform healthcare and enhance patient care and safety.<\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"

GPT-4 \u0111\u00e3 th\u1ec3 hi\u1ec7n ti\u1ec1m n\u0103ng trong vi\u1ec7c t\u01b0 v\u1ea5n y t\u1ebf, m\u1edf ra tri\u1ec3n v\u1ecdng cho s\u1ef1 \u0111\u1ed5i m\u1edbi trong l\u0129nh v\u1ef1c ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[10,110],"class_list":["post-615","post","type-post","status-publish","format-standard","hentry","category-ai-news","tag-tri-tue-nhan-tao","tag-y-khoa"],"_links":{"self":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=615"}],"version-history":[{"count":8,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/615\/revisions"}],"predecessor-version":[{"id":631,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/615\/revisions\/631"}],"wp:attachment":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=615"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}