Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology

透视图(图形) 医学 病理 数据科学 心理学 计算机科学 人工智能
作者
Durre Aden,Sufian Zaheer,Sabina Khan
出处
期刊:Revista Española de Patología [Elsevier]
卷期号:57 (3): 198-210 被引量:1
标识
DOI:10.1016/j.patol.2024.04.003
摘要

The much-hyped artificial intelligence (AI) model called ChatGPT developed by Open AI can have great benefits for physicians, especially pathologists, by saving time so that they can use their time for more significant work. Generative AI is a special class of AI model, which uses patterns and structures learned from existing data and can create new data. Utilizing ChatGPT in Pathology offers a multitude of benefits, encompassing the summarization of patient records and its promising prospects in Digital Pathology, as well as its valuable contributions to education and research in this field. However, certain roadblocks need to be dealt like integrating ChatGPT with image analysis which will act as a revolution in the field of pathology by increasing diagnostic accuracy and precision. The challenges with the use of ChatGPT encompass biases from its training data, the need for ample input data, potential risks related to bias and transparency, and the potential adverse outcomes arising from inaccurate content generation. Generation of meaningful insights from the textual information which will be efficient in processing different types of image data, such as medical images, and pathology slides. Due consideration should be given to ethical and legal issues including bias.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
搞怪溪灵发布了新的文献求助10
2秒前
Carol完成签到,获得积分10
2秒前
a龙完成签到,获得积分10
3秒前
3秒前
咻咻应助Snoopy采纳,获得20
5秒前
kk完成签到,获得积分20
5秒前
6秒前
6秒前
充电宝应助xzkdw采纳,获得20
7秒前
端庄书雁发布了新的文献求助10
7秒前
十万八千完成签到,获得积分10
9秒前
思源应助张鱼小丸子采纳,获得10
9秒前
科研通AI2S应助chenjyuu采纳,获得10
10秒前
天天快乐应助kaly采纳,获得10
10秒前
上官若男应助xiaofei666采纳,获得80
10秒前
crina发布了新的文献求助10
11秒前
Snoopy完成签到,获得积分10
11秒前
bobo完成签到 ,获得积分10
11秒前
青山落日秋月春风完成签到,获得积分10
11秒前
张杰发布了新的文献求助10
11秒前
丰富广缘完成签到 ,获得积分10
12秒前
fgh完成签到 ,获得积分10
13秒前
11完成签到 ,获得积分10
13秒前
猫大熊完成签到,获得积分10
14秒前
15秒前
15秒前
16秒前
17秒前
Felix_glyn完成签到,获得积分10
18秒前
buno应助ei采纳,获得10
19秒前
Lliang发布了新的文献求助10
19秒前
我很懵逼完成签到,获得积分10
19秒前
20秒前
wlp鹏完成签到,获得积分10
21秒前
21秒前
finerain7发布了新的文献求助10
22秒前
热心又蓝完成签到,获得积分10
23秒前
orixero应助端庄书雁采纳,获得10
24秒前
秀丽的初柔完成签到 ,获得积分10
24秒前
刻苦的黑米完成签到,获得积分10
24秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Very-high-order BVD Schemes Using β-variable THINC Method 930
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3266172
求助须知:如何正确求助?哪些是违规求助? 2905947
关于积分的说明 8336242
捐赠科研通 2576359
什么是DOI,文献DOI怎么找? 1400460
科研通“疑难数据库(出版商)”最低求助积分说明 654786
邀请新用户注册赠送积分活动 633661