Reversing Roe (2018) - A Documentary on ABORTION; the Most Controversial Issue.

Note:- 👇 This documentary was collected from YTS.AM

Synopsis:

A deep historical look at one of the most controversial issues of our time, highlighting the ABORTION debate from various points along the ideological spectrum in a winding story of abortion in America.......

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Under Our Skin 2: Emergence - From Horror to Hope. (Part 02)

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

In this dramatic follow-up to UNDER OUR SKIN, EMERGENCE takes the viewer on a journey from horror to hope. We witness the emerging epidemic of Lyme disease as infection and education spread globally. We watch as the truth emerges about the disease's persistence and reach, about promising new research, and about medical collusion and conflicts of interest that continue to impede progress. We revisit the characters from UNDER OUR SKIN as they emerge into better health, reclaiming their lives and dignity, and offering hope to the legions now suffering. As Lyme disease surges, EMERGENCE shines a probing light on the issue and becomes a beacon in the dark .......

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Under Our Skin - The Untold Story of Lyme Disease. (Part 01)

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

One difficulty in diagnosing Lyme disease is the fact that its symptoms are very broad, they seem to mimic those of other diseases and they vary from patient to patient. This documentary investigates the epidemic we are now facing and traces its flourishing to a negligent and corrupt health care system. Interviews with patients and doctors paints a clear picture of a medical industry that has decided to place profits ahead of the health of the people it is supposed to be treating .......

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To Watch Part 02; Click Here.

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Our Battle Ongoing: Lyme Disease in Australia - Medical Documentary on Ongoing Lyme Disease Crisis in Australia.

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

Our Battle Ongoing takes a look into the lives of Australians across the nation currently suffering from Lyme disease or a Lyme-like illness. Every individual has their own unique story as symptoms differ from person to person, but they are all united in a common cause of seeing recognition come to those suffering now and for the generations to come. With little to no help currently available, some have to take drastic measures in order to receive treatment. Our Battle Ongoing brings to light the tragedy of living with an invisible illness in Australia .......

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The Mysterious World Under Our Skin - A Latest Scientific Finding Medical Documentary by DW; on Skin Tissues.

Note:- 👇 This documentary was collected from Youtube.

Synopsis:

Under the skin, the human body has a connective tissue called fascia that contains muscles and nerves. But what does the fascia do? What is the real role of this whole-body network? Is it a starting point for new therapies and cures for one of the world's most widespread disorders, back pain, for example? This documentary presents the latest scientific findings by international researchers and provides some surprising insights. For a long time, the fascia was viewed as an insignificant sheathing membrane that was ignored by surgeons and excised by anatomists. .......

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Artificial Intelligence (AI) in Healthcare ..... Part 02

Applications of AI in Healthcare in near future.

The Healthcare industry is ripe for some major changes.  From chronic diseases and cancer to radiology and risk assessment, there are nearly endless opportunities to leverage technology to deploy more precise, efficient, and impactful interventions at exactly the right moment in a patient’s care. When it comes to our health, especially in matters of life and death, the promise of artificial intelligence (AI) to improve outcomes is very intriguing. 

While there is still much to overcome to achieve, AI-dependent health care, most notably data privacy concerns and fears of mismanaged care due to machine error and lack of human oversight, there is sufficient potential that governments, tech companies, and healthcare providers are willing to invest and test out AI-powered tools and solutions. Such tools and solutions are explained below:

• AI-Assisted Robotic Surgery:

Da Vinci Surgical Robot.

Robot-assisted surgery is considered "minimally invasive" so patients won't need to heal from large incisions. Via artificial intelligence, robots can use data from past operations to inform new surgical techniques. The positive results are indeed promising. One study that involved 379 orthopedic patients found that AI-assisted robotic procedure resulted in five times fewer complications compared to surgeons operating alone. A robot was used on an eye surgery for the first time, and the most advanced surgical robot, the Da Vinci allows doctors to perform complex procedures with greater control than conventional approaches. Heart surgeons are assisted Heartlander, a miniature robot, that enters a small incision on the chest to perform mapping and therapy over the surface of the heart.

• Virtual Nursing Assistants:

AI-Powered Virtual Health Assistance.

From interacting with patients to directing patients to the most effective care setting, virtual nursing assistants could save the healthcare industry a certain amount of billions annually. Since virtual nurses are available 24/7, they can answer questions, monitor patients and provide quick answers. Most applications of virtual nursing assistants today allow for more regular communication between patients and care providers between office visits to prevent hospital readmission or unnecessary hospital visits. Care Angel's virtual nurse assistant can even provide wellness checks through voice and AI.

• Aid Clinical Judgment or Diagnosis:

Admittedly, using AI to diagnose patients is undoubtedly in its infancy, but there have been some exciting use cases. A Stanford University study tested an AI algorithm to detect skin cancers against dermatologists, and it performed at the level of the humans. A Danish AI software company tested its deep-learning program by having a computer eavesdrop while human dispatchers took emergency calls. The algorithm analyzed what a person says, the tone of voice and background noise and detected cardiac arrests with a 93% success rate compared to 73% for humans. Baidu Research recently announced that the results of early tests on its deep learning algorithm indicate that it can outperform humans when identifying breast cancer metastasis. Prime minister Theresa May announced an AI revolution would help the National Health Service (NHS), the UK's healthcare system, predict those in an early stage of cancer to ultimately prevent thousands of cancer-related deaths by 2033. The algorithms will examine medical records, habits and genetic information pooled from health charities, the NHS and AI.

• Workflow and Administrative Tasks:

Another way AI can impact healthcare is to automate administrative tasks. It is expected that this could result in $18 billion in savings for the healthcare industry as machines can help doctors, nurses and other providers save time on tasks. Technology such as voice-to-text transcriptions could help order tests, prescribe medications and write chart notes. One example of using AI to support admin tasks is a partnership between the Cleveland Clinic and IBM that uses IBM’s Watson to mine big data and help physicians provide a personalized and more efficient treatment experience. One way Watson supports physicians is being able to analyze thousands of medical papers using natural language processing to inform treatment plans.

• Managing Medical Records and Other Data:

Since the first step in health care is compiling and analyzing information (like medical records and other past history), data management is the most widely used application of artificial intelligence and digital automation. Robots collect, store, re-format, and trace data to provide faster, more consistent access.

• Doing Repetitive Jobs:

Analyzing tests, X-Rays, CT scans, data entry, and other mundane tasks can all be done faster and more accurately by robots. Cardiology and radiology are two disciplines where the amount of data to analyze can be overwhelming and time consuming. Cardiologists and radiologists in the future should only look at the most complicated cases where human supervision is useful.

• Treatment Design:

Artificial intelligence systems have been created to analyze data notes and reports from a patient’s file, external research, and clinical expertise to help select the correct, individually customized treatment path.

• Digital Consultation:

Apps like Babylon in the UK use AI to give medical consultation based on personal medical history and common medical knowledge. Users report their symptoms into the app, which uses speech recognition to compare against a database of illnesses. Babylon then offers a recommended action, taking into account the user’s medical history.

• Drug Creation:

Developing pharmaceuticals through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could change the world. Amidst the recent Ebola virus scare, a program powered by AI was used to scan existing medicines that could be redesigned to fight the disease.

The program found two medications that may reduce Ebola infectivity in one day, when analysis of this type generally takes months or years; a difference that could mean saving thousands of lives.

• Precision Medicine:

Genetics and genomics look for mutations and links to disease from the information in DNA. With the help of AI, body scans can spot cancer and vascular diseases early and predict the health issues people might face based on their genetics.

Reference:

• www.forbes.com. 2018. No page title. [ONLINE] Available at: https://www.forbes.com/sites/bernardmarr/2018/07/27/how-is-ai-used-in-healthcare-5-powerful-real-world-examples-that-show-the-latest-advances/#52ae0d145dfb. [Accessed 04 October 2018].

• HealthITAnalytics. 2018. Top 12 Ways Artificial Intelligence Will Impact Healthcare. [ONLINE] Available at: https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare. [Accessed 04 October 2018].

• https://novatiosolutions.com/10-common-applications-artificial-intelligence-healthcare/

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Artificial Intelligence (AI) in Healthcare ..... Part 01

Applications of AI in Healthcare.

Artificial intelligence has many applications across various industries, and healthcare is one that could be transformed by the technology. The potential for AI in healthcare is tremendous as it increasingly becomes integrated into the healthcare ecosystem. The processing power of AI has applications far beyond providing simple diagnoses. It can be used to help health professionals identify the severity of what is wrong with the patient and provide insight as to why they are experiencing certain symptoms. This additional information helps doctors decide on the most effective treatment. Also, AI is transforming the way doctors deliver cost-effective, high-quality diagnostic and treatment services to their patients. For example, the technology can identify patterns and anomalies in diagnostic data from medical scans at a speed and volume that humans are simply unable to replicate. Some more applications of AI, are covered below:

• AI offers a number of advantages over traditional analytics and clinical decision-making techniques.  Learning algorithms can become more precise and accurate as they interact with training data, allowing humans to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes.  

BCI for a locked-in syndrome patient.

• Neurological diseases and trauma to the nervous system can take away some patients’ abilities to speak, move, and interact meaningfully with people and their environments.  Brain-computer interfaces (BCIs) backed by artificial intelligence could restore those fundamental experiences to those who feared them lost forever. Brain-computer interfaces could drastically improve quality of life for patients with Amyotrophic Lateral Sclerosis (ALS), strokes, or locked-in syndrome, as well as the 500,000 people worldwide who experience spinal cord injuries every year.

• Artificial intelligence is helping to enable “Virtual Biopsies” and advance the innovative field of radiomics, which focuses on harnessing image-based algorithms to characterize the phenotypes and genetic properties of tumors.

• Shortages of trained healthcare providers, including ultrasound technicians and radiologists can significantly limit access to life-saving care in developing nations around the world. Artificial intelligence could help mitigate the impacts of this severe deficit of qualified clinical staff by taking over some of the diagnostic duties typically allocated to humans.For example, AI imaging tools can screen chest x-rays for signs of tuberculosis, often achieving a level of accuracy comparable to humans.  This capability could be deployed through an app available to providers in low-resource areas, reducing the need for a trained diagnostic radiologist on site. However, algorithm developers must be careful to account for the fact that disparate ethnic groups or residents of different regions may have unique physiologies and environmental factors that will influence the presentation of disease.

Electronic Health Records.

• Electronic Health Records (EHR) have played an instrumental role in the healthcare industry’s journey towards digitalization, but the switch has brought myriad problems associated with cognitive overload, endless documentation, and user burnout. EHR developers are now using artificial intelligence to create more intuitive interfaces and automate some of the routine processes that consume so much of a user’s time. Antibiotic resistance is a growing threat to populations around the world as overuse of these critical drugs fosters the evolution of superbugs that no longer respond to treatments.  Multi-drug resistant organisms can wreak havoc in the hospital setting, and claim thousands of lives every year. Electronic health record data can help to identify infection patterns and highlight patients at risk before they begin to show symptoms.  Leveraging machine learning and AI tools to drive these analytics can enhance their accuracy and create faster, more accurate alerts for healthcare providers.

• Smart devices are taking over the consumer environment, offering everything from real-time video from the inside of a refrigerator to cars that can detect when the driver is distracted. In the medical environment, smart devices are critical for monitoring patients in the ICU and elsewhere.  Using artificial intelligence to enhance the ability to identify deterioration, suggest that sepsis is taking hold, or sense the development of complications can significantly improve outcomes and may reduce costs related to hospital-acquired condition penalties. Inserting intelligent algorithms into these devices can reduce cognitive burdens for physicians while ensuring that patients receive care in as timely a manner as possible.

• Immunotherapy is one of the most promising avenues for treating cancer.  By using the body’s own immune system to attack malignancies, patients may be able to beat stubborn tumors.  However, only a small number of patients respond to current immunotherapy options, and oncologists still do not have a precise and reliable method for identifying which patients will benefit from this option. Machine learning algorithms and their ability to synthesize highly complex data sets may be able to illuminate new options for targeting therapies to an individual’s unique genetic makeup.

Smart Wearable Devices for Health Monitoring.

• Almost all consumers now have access to devices with sensors that can collect valuable data about their health.  From smartphones with step trackers to wearables that can track a heartbeat around the clock, a growing proportion of health-related data is generated on the go. Collecting and analyzing this data and supplementing it with patient-provided information through apps and other home monitoring devices can offer a unique perspective into individual and population health. Artificial intelligence will play a significant role in extracting actionable insights from this large and varied treasure trove of data.  

• Continuing the theme of harnessing the power of portable devices, experts believe that images taken from smartphones and other consumer-grade sources will be an important supplement to clinical quality imaging  especially in under served populations or developing nations. The quality of cell phone cameras is increasing every year, and can produce images that are viable for analysis by artificial intelligence algorithms.  Dermatology and ophthalmology are early beneficiaries of this trend. Using smartphones to collect images of eyes, skin lesions, wounds, infections, medications, or other subjects may be able to help under served areas cope with a shortage of specialists while reducing the time-to-diagnosis for certain complaints.

• As the healthcare industry shifts away from fee-for-service, so too is it moving further and further from reactive care.  Getting ahead of chronic diseases, costly acute events, and sudden deterioration is the goal of every provider and reimbursement structures are finally allowing them to develop the processes that will enable proactive, predictive interventions. Artificial intelligence will provide much of the bedrock for that evolution by powering predictive analytics and clinical decision support tools that clue providers in to problems long before they might otherwise recognize the need to act.

• AI can provide earlier warnings for conditions like seizures or sepsis, which often require intensive analysis of highly complex data sets. Leveraging AI for clinical decision support, risk scoring, and early alerting is one of the most promising areas of development for this revolutionary approach to data analysis.  By powering a new generation of tools and systems that make clinicians more aware of nuances, more efficient when delivering care, and more likely to get ahead of developing problems, AI will usher in a new era of clinical quality and exciting breakthroughs in patient care.

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Mysteries of the Unseen World (2013) - Documentary.

Note:- 👇 This documentary was collected from https://yts.am

Synopsis:
MYSTERIES OF THE UNSEEN WORLD transports audiences to places on this planet that they have never been before, to see things that are beyond their normal vision, yet literally right in front of their eyes. Mysteries of the Unseen World reveals phenomena that can't be seen with the naked eye, taking audiences into earthly worlds secreted away in different dimensions of time and scale.......

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