
"Felt like an earthquake," Ahmedabad resident relives AI-171 crash experience
'When the crash happened, it felt like an earthquake. Immediately, we rushed to the site. 'After hearing the loud sound from the crash, the public gathered nearby,' he told ANI while recounting the moments of the crash.
Hariom Gandhi from the NDRF, who arrived at the AI-171 plane crash site, stated that six teams have been deployed and are actively carrying out operations on the ground.
'Our six teams are working on the ground. We cannot give any numbers until the site is completely cleared,' he said.
The Indian Medical Association (IMA ) Gujarat said that its Gujarat unit is working in close collaboration with CM of Gujarat Bhupendra Patel, Ministers Rushikesh Patel & Harsh Sanghavi, Health Secretary Dhananjay Dwivedi, senior IAS officers, government stakeholders, and Civil Hospital authorities.
'In a swift response to the tragic Ahmedabad Flight crash incident, IMA Gujarat is providing full on-ground support at the incident site & Civil Hospital, Ahmedabad. The IMA Gujarat team is working in close collaboration with CM of Gujarat Bhupendra Patel, Ministers Rushikesh Patel & Harsh Sanghavi, Health Secretary Dhananjay Dwivedi, senior IAS officers, government stakeholders, and Civil Hospital authorities as per their direct guidance to deliver the required medical aid & doctors' expertise,' IMA said in a statement.
A total of 241 people onboard the Boeing 787-8, Air India flight 171, including 12 crew members, have died in the deadly Ahmedabad plane crash, Air India confirmed post-midnight on Friday.
The flight, which was operating from Ahmedabad to London Gatwick on June 12, 2025, carried 169 Indian nationals, 53 British nationals, seven Portuguese nationals, and one Canadian national.
The passenger plane crashed near Sardar Vallabhbhai Patel International Airport in Gujarat's Ahmedabad into a resident doctors' hostel building shortly after take-off.
Miraculously, one person has survived the deadly crash, the airline authorities said, adding that the survivor was a British national of Indian origin.
The aircraft was piloted by Captain Sumeet Sabharwal, a Line Training Captain with 8,200 hours of flying experience, assisted by First Officer Clive Kundar, who had logged 1,100 flying hours.
According to Air Traffic Control (ATC), the aircraft departed from Ahmedabad at 1339 IST (0809 UTC) from runway 23. It made a Mayday call to ATC, but thereafter, the aircraft did not respond to the calls made by ATC.
Immediately after departing from Runway 23, the aircraft fell on the ground outside the airport perimeter. An official stated that heavy black smoke was emanating from the accident site.
The Tata Group has announced a compensation of Rs 1 crore for the families of each person who lost their lives in the crash. (ANI)
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


CTV News
8 hours ago
- CTV News
Autonomous robot performs first realistic surgery without human help
For the first time ever, a robot has performed a realistic surgery without human help. According to a new study, the AI-powered robot precisely executed a complex part of a gallbladder removal after being trained by videos of human surgeons. Led by researchers from Johns Hopkins University in Baltimore, the study found that the robot's performance was 'comparable to an expert surgeon' during trials on pig gallbladders. 'This advancement moves us from robots that can execute specific surgical tasks to robots that truly understand surgical procedures,' corresponding author and medical roboticist Axel Krieger said in a news release. 'This is a critical distinction that brings us significantly closer to clinically viable autonomous surgical systems that can work in the messy, unpredictable reality of actual patient care.' While Krieger and colleagues have trained robots to perform specific surgical tasks in the past, this was the first time that one was able to operate autonomously without a predetermined plan. Rather than teaching a robot to follow a mapped route, Krieger likened their latest breakthrough to 'teaching a robot to navigate any road, in any condition, responding intelligently to whatever it encounters.' The robot was also able to learn from and respond to voice commands from the team, much like a novice surgeon working under supervision of a mentor. After being trained, the robot operated autonomously on eight pig gallbladders, performing perfectly without any human intervention. 'To me it really shows that it's possible to perform complex surgical procedures autonomously,' Krieger, an associate professor in mechanical engineering, said. 'This is a proof of concept that it's possible and this imitation learning framework can automate such complex procedure with such a high degree of robustness.' 'Comparable to an expert surgeon' Although the robot took longer than a human surgeon, researchers say it had a 100 per cent success rate in all eight surgeries and was able to adapt to different pig gallbladders and unexpected scenarios, like when its starting position was moved. On average it took the robot five minutes and 17 seconds to complete the required tasks, compared to about four minutes for a human surgeon. 'In these experiments, we observe the consistent ability of our framework to generalize to unseen anatomies and self-correct its own behaviour,' an advance copy of the study explained. 'Preliminary comparison shows that, while our framework requires more operation time, the performance is comparable to an expert surgeon.' Using the typically human-operated robotic da Vinci Surgical System, the robot was built and trained with the same machine learning architecture that drives ChatGPT. 'Our work shows that AI models can be made reliable enough for surgical autonomy – something that once felt far-off but is now demonstrably viable,' lead author and former Johns Hopkins postdoctoral researcher Ji Woong 'Brian' Kim said in the news release. Warning: some readers may find the following image disturbing. Surgical Robot The surgical robot performing a gallbladder surgery. (Juo-Tung Chen/Johns Hopkins University) The study was published Wednesday in the journal Science Robotics. The gallbladder removal procedure required a string of 17 tasks that included identifying certain ducts and arteries in order to place clips and sever parts with scissors. The researchers would now like to train and test the surgical robot for other types of procedures and to eventually perform a completely autonomous surgery. 'Autonomous surgery holds immense potential for improving surgical outcomes, reducing costs, and expanding access to high-quality healthcare,' the study said. '[Our] approach also supports real-time language interventions from expert surgeons, making it practical for potential integration into hospitals as a tool for surgeons to reduce fatigue on simple procedures or for areas with no access to trained surgeons.'


Canada News.Net
3 days ago
- Canada News.Net
"Felt like an earthquake," Ahmedabad resident relives AI-171 crash experience
Ahmedabad (Gujarat) [India], June 13 (ANI): A resident living in a housing colony near the AI-171 crash site in Ahmedabad, Gujarat, recounted the moment, saying the impact felt like an earthquake. He added that they rushed to the scene immediately after the crash. 'When the crash happened, it felt like an earthquake. Immediately, we rushed to the site. 'After hearing the loud sound from the crash, the public gathered nearby,' he told ANI while recounting the moments of the crash. Hariom Gandhi from the NDRF, who arrived at the AI-171 plane crash site, stated that six teams have been deployed and are actively carrying out operations on the ground. 'Our six teams are working on the ground. We cannot give any numbers until the site is completely cleared,' he said. The Indian Medical Association (IMA ) Gujarat said that its Gujarat unit is working in close collaboration with CM of Gujarat Bhupendra Patel, Ministers Rushikesh Patel & Harsh Sanghavi, Health Secretary Dhananjay Dwivedi, senior IAS officers, government stakeholders, and Civil Hospital authorities. 'In a swift response to the tragic Ahmedabad Flight crash incident, IMA Gujarat is providing full on-ground support at the incident site & Civil Hospital, Ahmedabad. The IMA Gujarat team is working in close collaboration with CM of Gujarat Bhupendra Patel, Ministers Rushikesh Patel & Harsh Sanghavi, Health Secretary Dhananjay Dwivedi, senior IAS officers, government stakeholders, and Civil Hospital authorities as per their direct guidance to deliver the required medical aid & doctors' expertise,' IMA said in a statement. A total of 241 people onboard the Boeing 787-8, Air India flight 171, including 12 crew members, have died in the deadly Ahmedabad plane crash, Air India confirmed post-midnight on Friday. The flight, which was operating from Ahmedabad to London Gatwick on June 12, 2025, carried 169 Indian nationals, 53 British nationals, seven Portuguese nationals, and one Canadian national. The passenger plane crashed near Sardar Vallabhbhai Patel International Airport in Gujarat's Ahmedabad into a resident doctors' hostel building shortly after take-off. Miraculously, one person has survived the deadly crash, the airline authorities said, adding that the survivor was a British national of Indian origin. The aircraft was piloted by Captain Sumeet Sabharwal, a Line Training Captain with 8,200 hours of flying experience, assisted by First Officer Clive Kundar, who had logged 1,100 flying hours. According to Air Traffic Control (ATC), the aircraft departed from Ahmedabad at 1339 IST (0809 UTC) from runway 23. It made a Mayday call to ATC, but thereafter, the aircraft did not respond to the calls made by ATC. Immediately after departing from Runway 23, the aircraft fell on the ground outside the airport perimeter. An official stated that heavy black smoke was emanating from the accident site. The Tata Group has announced a compensation of Rs 1 crore for the families of each person who lost their lives in the crash. (ANI)


Globe and Mail
4 days ago
- Globe and Mail
The Future of Healthcare is Preventive – And Powered by AI
"'Artificial intelligence gives us the power to see what the human eye alone cannot—and to act before the cost of inaction becomes irreversible. This is not about replacing clinicians; it's about unlocking a future where early diagnosis is the norm, not the exception. If we can shift the diagnostic window forward by days or even hours, we can rewrite the trajectory of patient care.'" Executive leaders look to scalable, imaging-driven diagnostics to accelerate early intervention and reduce system strain As health systems navigate rising patient demand, aging populations, and unsustainable care costs, executive focus is shifting from reactive treatment to preventive intelligence. At the center of this shift is artificial intelligence—specifically, platforms designed to detect diseases before symptoms emerge. One of the most promising applications is in diagnostic imaging, where AI can now analyze radiological data in real time, uncover subtle signs of disease, and support clinical decisions long before traditional workflows would trigger escalation. Hugo Raposo, a Canadian digital health strategist and former Chief Architect of a provincial modernization initiative, is among the thought leaders spearheading this evolution. 'We can't afford a future where detection starts only after symptoms appear,' Raposo said. 'AI makes it possible to reorient our entire clinical model around early warning—moving us from system overload to system foresight.' Executive Pressure: Why Preventive Diagnostics is a Strategic Imperative In both Canada and the United States, wait times for imaging continue to rise, specialist access remains uneven, and late-stage diagnoses are driving up costs. According to the Canadian Institute for Health Information, non-urgent MRI waits in some provinces now exceed 90 days. What's emerging is a new class of AI platforms designed not just for efficiency, but for proactive risk detection across imaging modalities—from chest X-rays to brain MRIs and retinal scans. These tools serve as always-on, pattern-seeking copilots that help: Executives are now exploring how such tools can become core to digital health strategy, not just clinical augmentation. Hugo Raposo's Vision: Scalable, Ethical AI for System-Wide Preventive Impact Raposo's platform—currently deployed across hospital and community clinics in Ontario—focuses on turning diagnostic imaging into a predictive capability. It is built to integrate with existing PACS/EHR environments and works both in urban health networks and bandwidth-limited rural regions. Key attributes include: Importantly, Raposo frames this not as an IT solution, but as a strategic enabler of access, quality, and sustainability. 'The ROI is no longer just about efficiency. It's about reducing emergency interventions, preventing chronic progression, and giving leadership the levers to shift from volume to value,' he said. More on Hugo Raposo From Boardroom to Bedside: Aligning with National and Global Priorities Global policymakers are already signaling the importance of diagnostic AI. The U.S. HHS AI Strategy, CMS value-based care models, and WHO's AI ethics guidance all emphasize the need to deploy AI responsibly across care ecosystems. Raposo's work aligns directly with these goals: For CIOs and health CEOs, this represents a new decision point: not whether to adopt AI—but how to align it with enterprise risk, public health readiness, and long-term clinical quality. What's Ahead: Predictive Imaging as a Platform Strategy Beyond static interpretation, Raposo is working to integrate imaging data with lab results, pathology, and even ambient documentation. The goal: to create a multimodal, longitudinal diagnostic layer that can inform triage, treatment planning, and population health simultaneously. Upcoming capabilities include: 'Imaging isn't just diagnostic—it's becoming foundational infrastructure for predictive care,' Raposo emphasized. 'In five years, AI won't be a feature—it will be a precondition for delivering safe, timely, and cost-effective healthcare.' LinkedIn: