@imtoley: robot humain 😳

culture gen🧠
culture gen🧠
Open In TikTok:
Region: FR
Tuesday 03 December 2024 10:33:57 GMT
880420
45159
2184
6559

Music

Download

Comments

mohxen19
Mohsen🥷🏻 :
Robot zella ala l’ex ta3i
2024-12-03 12:55:46
397
daniel.agad
Daniel :
machi robo chft had video
2024-12-06 19:51:52
1
6rvmeyyy
R :
Uk what im thinking about 😂
2024-12-03 18:15:28
1
suarez0116
💥RãØûF💥 :
machi robot hadi nooon 😳
2024-12-05 08:24:17
0
queenatina2
marselline111 :
tchbh l salomy 🙂
2024-12-05 14:16:52
0
dieumerci35
Dieu Merci :
هاذي monika
2024-12-03 15:45:55
82
47youcef1
Youcef BON.. :
راكم تغيلو وش راه في راسي😂
2024-12-03 10:44:25
568
samsamm209
samsamm :
واقيلا 100 مليون نخبيها ومانتسرعش
2024-12-03 20:15:19
160
To see more videos from user @imtoley, please go to the Tikwm homepage.

Other Videos

Is This the Help GPs Need? #tech. AI models have the potential to revolutionize healthcare by serving as diagnostic assistants to general practitioners (GPs) and other healthcare professionals. These models leverage machine learning algorithms to analyze vast amounts of medical data, including patient records, imaging studies, laboratory results, and clinical guidelines, to help clinicians make more accurate and timely diagnoses. In the current landscape, AI models in healthcare serve as valuable tools to augment the expertise of GPs and support clinical decision-making. By analyzing complex patterns and correlations in medical data, AI models can assist GPs in identifying potential diagnoses, predicting disease progression, recommending appropriate tests or treatments, and flagging abnormalities or inconsistencies that may warrant further investigation. For example, AI models can help GPs interpret medical images such as X-rays, MRIs, and CT scans by highlighting areas of concern, providing differential diagnoses, and prioritizing cases based on urgency. They can also analyze patient symptoms, medical history, and risk factors to generate personalized diagnostic recommendations tailored to individual patients. By serving as diagnostic assistants, AI models can help GPs streamline workflow, reduce diagnostic errors, and improve patient outcomes. They can enhance the efficiency and accuracy of clinical decision-making, enabling GPs to focus their time and expertise on patient care rather than on administrative tasks or information overload. Looking ahead, there is potential for AI models in healthcare to evolve from diagnostic assistants to more autonomous decision-making tools. As these models become increasingly sophisticated and reliable, they may be able to operate independently, providing real-time diagnostic support to GPs and even making treatment recommendations or initiating interventions based on patient data. #ai #medicine
Is This the Help GPs Need? #tech. AI models have the potential to revolutionize healthcare by serving as diagnostic assistants to general practitioners (GPs) and other healthcare professionals. These models leverage machine learning algorithms to analyze vast amounts of medical data, including patient records, imaging studies, laboratory results, and clinical guidelines, to help clinicians make more accurate and timely diagnoses. In the current landscape, AI models in healthcare serve as valuable tools to augment the expertise of GPs and support clinical decision-making. By analyzing complex patterns and correlations in medical data, AI models can assist GPs in identifying potential diagnoses, predicting disease progression, recommending appropriate tests or treatments, and flagging abnormalities or inconsistencies that may warrant further investigation. For example, AI models can help GPs interpret medical images such as X-rays, MRIs, and CT scans by highlighting areas of concern, providing differential diagnoses, and prioritizing cases based on urgency. They can also analyze patient symptoms, medical history, and risk factors to generate personalized diagnostic recommendations tailored to individual patients. By serving as diagnostic assistants, AI models can help GPs streamline workflow, reduce diagnostic errors, and improve patient outcomes. They can enhance the efficiency and accuracy of clinical decision-making, enabling GPs to focus their time and expertise on patient care rather than on administrative tasks or information overload. Looking ahead, there is potential for AI models in healthcare to evolve from diagnostic assistants to more autonomous decision-making tools. As these models become increasingly sophisticated and reliable, they may be able to operate independently, providing real-time diagnostic support to GPs and even making treatment recommendations or initiating interventions based on patient data. #ai #medicine

About