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Post by Admin on Aug 23, 2016 15:40:04 GMT -4
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Post by Brandon Brooks MS3 on Aug 23, 2016 21:54:16 GMT -4
In medicine, it's always a great idea if a new machine or diagnostic tool is invented. MRI's and CT's were invented to help dx. parts of our bodies, and now a programmed robot is invented to help mental disease. This approach will eliminate human error, and aid physicians with a more precise analysis. Recognizing different speech patterns in a mentally incompetent patient is an important factor that is often overlooked. The Neurolex robot is able to aggegrate a change in different speech patternings, and this is something that the human mind can't do. This type of technology will elimate future psychotic episodes, and help end undue suffering.
BB MS3
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Post by Omar Ansari - MS3 on Aug 24, 2016 0:13:50 GMT -4
Artificial intelligence has been long implemented in a variety of fields within the spectrum of medicine. The introduction of this form of technology has reduced incidences of human error while increasing the efficiency of the tasks at hand. From robotic neurosurgery used for greater visualization, enhanced dexterity, and greater precision, AI in medicine is progressively growing and will eventually have an impact on an even larger scale. The NeuroLex looks to be a great start in the field of psychiatry with its ability to recognize a schizophrenic diagnosis based on speech patterns that physicians might miss due to random chance, human error, or physician fatigue/burnout. This way, it can serve as a safety net to guide physicians in providing the highest quality of patient care.
OA - MS3
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deekshita damidi-ms3
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Post by deekshita damidi-ms3 on Aug 24, 2016 8:52:24 GMT -4
This article clearly shows how new and more complex technological advances are having an effect on every aspect of medicine now. The idea that an algorithm can be used to diagnose schizophrenia is very fascinating. This approach might be very beneficial in decreasing the number of office visits for a patient in order to get to a proper and accurate diagnoses faster and in turn better treatment. This also raises many concerns about the accuracy of the algorithm as stated in the article, I think this model is a great idea but it would require integration and consideration of numerous other factors to minimize the risk of incorrect diagnoses. This shows great promise but in order for it to be considered valuable in the diagnosing criteria for schizophrenia in the future, I think it will have to have a very high sensitivity and specificity rate.
DD MS3
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Post by Gurinder Sidhu- Extern on Aug 24, 2016 9:35:50 GMT -4
Technology is an integral part of our daily lives and is entering almost every facet of our daily lives. Unfortunately it has taken its time to fully integrate into the medical field. We are now using different ways to integrate technology into improving healthcare delivery, saving lives and cutting costs. We are also using newer technologic breakthroughs to help diagnose and treat from superior imaging to using nanobots to treat cancer. Psychiatry is one of the fields that relies on the psychiatrist and his/her judgement rather than a large focus on technology. It is nice to see that there are new modalities that can help aide the psychiatrist in better diagnosing patients with mental illness. Many physicians are reluctant to embrace new tech in medicine but it is nice to see the psychiatrists in the article open to using this AI technology to help their patients. The field of psychiatry relies on the clinical judgment of the psychiatrist and using this type of AI can help aide in ways that the clinician cannot see. Hopefully this is the beginning of a new trend in the field of psychiatry to use better AI technology as another tool in the arsenal of the psychiatric clinician.
Gurinder Sidhu- Extern
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Post by Paul Lee MS 4 UMHS on Aug 24, 2016 11:38:14 GMT -4
Technology has advanced medicine in unimaginable ways. It seems this new software analyzes the speech pattern of people to diagnose them with psychiatric conditions, but I feel this is very limited to English. Other languages may have different mannerisms and speech patterns, which may not be picked up by the software. The article does contain an example of a patient who had to see 10 (!) different psychiatrists before he was diagnosed correctly. While this does happen, I believe this is an outlier, and that most patients that see a mental health professional can be correctly diagnosed much earlier. Technology has certainly advanced medicine, especially with imaging, such as MRI's and the new wave of CT scans, as well as the new robotic machines assisting surgeons in the operating rooms. While the technology is impressive and awe inspiring, I believe psychiatry is a specialty of medicine where the subtleties of human interaction can be never replaced.
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Rola Fayez, Psychiatry Externs
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Post by Rola Fayez, Psychiatry Externs on Aug 24, 2016 13:11:48 GMT -4
How Artificial Intelligence Could Help Diagnose Mental Disorders?
The article was discussing about using objective quantitative tool or speech analysis to diagnose mental illness. From my perspective point-view, Mental illness is considered of the most intangible and most challenging specialty in Medicine. Psychiatry depends entirely on the physician's clinical assessment and mental state examination rather than depending on sensible tools as blood and radio-logical investigations. Therefore, this will require a thorough lengthy clinical interview in order to get a precise diagnosis of any psychiatric disorder. If the Artificial intelligence had been introduced and implemented in the psychiatric field, physicians will not only miss diagnosing mental illness accurately, but will also loose the interaction and communication with patients, the active listening, the empathy and the acknowledgment of their emotional or personal concerns. All these essential components are the basic foundation and morale of psychiatry.
In regard to speech analysis, it could be a good clue to some psychiatric or neurological symptoms or complaints. For example someone with slurred speech could give a clue to side effects of anti-psychotic medications. However, the speech could be misinterpreted by some clinicians due to social, environmental or cultural factors especially if both the psychiatrist and the patient are from different cultural background.
Hopefully, with the advent of any new technology or tools to be implemented for the purpose of promoting mental health and fighting the stigmata of mental illness such as providing more funds and support for psychiatry research, educating and raising the awareness of mental health to public in the near future.
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Post by Nisha Sheth MS4 on Aug 24, 2016 14:21:01 GMT -4
We live in a time where innovative technology is the new future. Just like having screening tests for colon cancer or breast cancer, I think it is amazing if they could develop a tool to help screen for schizophrenia and other mental health disorders. With the shortage of mental health care providers, if this could help with evaluating the prognosis of a patient over time, I believe that could be tremendously beneficial to the patient and the provider. On the other hand, considering that all patients are different, I don’t know how well it would work. As an example in the article states, people that speak lower could be misinterpreted as depression. As much as technology is advancing I don’t think it could ever replace a human, but it could definitely help. More research is definitely needed on AI.
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Post by Kimber Johnsen MS4 on Aug 24, 2016 15:38:18 GMT -4
The field of medicine is constantly changing and driven by innovation and technology. Artificial intelligence (AI) seems to be a logical next step in advancement. This technology has the potential to get patients with mental illness the help they need sooner since it will be able to detect imminent depression and psychosis before the patient is in a crisis and needing hospitalization. The other benefit of AI is that it can help to find the correct medication and dosage for to adequately treat the patient. This is such a benefit because the medications in a psychiatrist tool box are very numerous and different classes of medication work for different patients. Knowing sooner if the medication the patient is on is working or not will allow for a quicker remission and help to prevent remissions. The major downfall I see with AI is that it has a learning curve. The first handful of patients the AI analyzes will not be correctly analyzed as patients it analyzes after it learned to read people. This will make the first patients more like test cases and they cannot be fully informed for consent since the device is hidden.
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Post by christabel on Aug 24, 2016 18:09:52 GMT -4
ARTIFICIAL INTELLIGENCE IMPROVING PSYCHIATRY
Medicine is a field that has been changing as the year goes by. There has been a lot of advancement in medicine that is why doctors need to update themselves to go with the new developments. Considering the shortage of mental health providers in the US and the world at large, I see the artificial intelligence(AI) as an advance in technology (just like robots are been used for surgeries in most advance countries) and a good opportunity to a fast diagnosis for patients and gives room for more patients to been seen in a short period of time,to know the exact medication for each patient with a psychiatry issue and will be quicker to detect if a patient needs an increase/decrease in the dosage or a change of medication.
The BIG question is how reliable can this be? Just as the robots been used for surgeries in most developed countries though reliable still has its downfall I believe it will be more difficult in the aspect of psychiatry. Psychiatry is one aspect of medicine that has to do with the patients emotions and requires close observation of the patient,and interaction with the patient but still most patients are been misdiagnosed and treated wrongly. As said in the article someone with slurred speech or a patient that speaks in a way the AI don't understand can be misdiagnosed.
This is a good development that need a lot of work, research and analysis been put in for it to be effective.
CD(MS3)
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Post by oluwasola olawuyi on Aug 24, 2016 18:47:22 GMT -4
Due to the shortage of mental health doctors in the U.S, the use of technology to help diagnose mental disorders like schizophrenia has its Pros and Cons in the healthcare system. Looking at the pros, it will help physicians make a diagnosis as fast as possible in instances where the physician missed certain clues in the history of the patient which is a plus, and could facilitate earlier treatment of the disease. The cons of the technology is the misdiagnosis that could occur since it uses a patient’s speech to make its diagnosis. Patient from different cultures and background can speak in different ways which might be misdiagnosed to be psychosis or depression. A typical example of this was given in the article in which the siri app from apple had problems answering questions from Scottish users. Until the sensitivity and specificity of the technology is high enough to eliminate FALSE POSITIVES and FALSE NEGATIVES, the use of this technology should not be encouraged.
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Post by Cynthia Coronel MS3 on Aug 24, 2016 20:01:50 GMT -4
As the prevalence of mental illness and the shortage of psychiatrist in the country increase, the use of artificial may aid tremendously in filling the gap. Technology has already become a fundamental part of health field and proven to be produce effective tools in diagnoses and treatment. Such as mobile health apps, which makes therapy more accessible to patients.
Investing in technological tools that will help physicians to accurately diagnoses is a great way to integrate an aid in a field in which diagnosis’s is purely based on human judgment.
The use AI, will also address the issue the shortage of psychiatrists in the country. The use of AI can be used by general practitioners to make diagnoses and treatment more quickly accessible to patients who may be suffering from a mental illness.
However, as promising it may be, further research would be needed to increase the accuracy of diagnoses, as the cultural aspect is an important factor to take in consideration.
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Post by Roop Waraich (MS3) on Aug 24, 2016 22:02:09 GMT -4
This new form of treatment is very helpful in spotting the signs and symptoms of mental disorders very effective, however it is only in one area and a very specific accent, voice level, and demeanor. In that very specific setting, it is amazing, and in the future I dont doubt that it will b an integral part of psychiatric treatment. This artificial intelligence requires a lot more testing to be more accurate, because we live in a very multicultural environment, with people from all over the world, with their own accents and dialects. this intelligence must be prepared in all aspects to become a universal part of mental health diagnosis and treatment.
Further research and funding into this artificial intelligence is going to be key, as it needs to be broadened in its scope, and not be limited to its one set of phrases and actions it notices.
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Post by Jackson Nguyen MS4 on Aug 24, 2016 22:38:49 GMT -4
Technology will always be a huge benefit for medicine, as evidenced in this article. Even Dr. Antin said during orientation, sometimes it can take up to ten years before a person is correctly diagnosed and treated for their psychiatric illnesses. With a machine that has programmed algorithms that can help detect these illnesses before a person has a "psychotic break", it can definitely guide people that are in dire need of help for their mental illnesses to get efficient treatment. However, one thing that the article really did touch on is that not all humans speak the same so different tones, speaking styles, vocabularies, and education levels will definitely impact the specificity and sensitivity of this algorithm. But as long as the sample size grows, and many more confounding factors can be accounted for, this can definitely be a huge boost in the field of psychiatry. We just have to be careful not to create a skynet situation....
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Post by ekemini MS3 on Aug 25, 2016 1:32:00 GMT -4
It is no longer a surprising factor the Role Technology plays in every day activities, ranging from social apps,smart phones,MRI machines,X-rays and Laser surgeries.This article is just further prove of how important technology will be in the coming years.
Speech recognition is addressed in this article as a method that will be used as a diagnostic tool.However this is just a single pattern.Methods like eye movement,breathing pattern,blood pressure readings etc already exist.The biggest issue is reliability.Psychiatry is a more complex aspect of medicine,not only does it deal with psycial manifestations,it also covers mental and emotional states that even we humans find it difficult to understand.The possiblilty of an AI fully grasping,understanding,and interpreting the state of an individual mind is going to be tricky.I've never been one to doubt technological advancement as such, this might be a very realistic concept in a few years time.
Further research and development in AI as a diagnostic and curative tool in medicine is essential.
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